How IOT can improve the Project Management Process

The world of project management is rapidly evolving, and with the emergence of Internet of Things (IoT) technology, managing projects has become even more efficient. IoT has opened up a whole new world of possibilities for project managers who are looking to improve their processes and enhance productivity. IoT has the potential to significantly enhance the project management process by providing real-time data, improving communication and collaboration, optimizing resource allocation, and enabling proactive decision-making. Here are several ways in which IoT can improve project management:

IoT can be a game-changer in project management by allowing real-time data collection and monitoring of various aspects of a project. For example, IoT devices, such as sensors and connected equipment, can gather real-time data on various project parameters, including progress, performance, environmental conditions, and resource utilization. This data can be automatically transmitted to project management systems, providing up-to-date insights that enable better monitoring, tracking, and decision-making.

 

IoT devices also allow project managers to remotely monitor project sites, equipment, and assets in real-time. Through connected cameras, sensors, and wearables, project managers can assess on-site conditions, detect potential issues or delays, and ensure compliance with safety protocols. This capability improves efficiency and reduces the need for physical presence at project locations. Thus, managers can easily access data on from any remote location to monitor performance metrics in real time.

 

In addition, IoT sensors embedded in equipment, machinery, and vehicles can collect data on their usage, performance, and maintenance needs. By analyzing this data, project managers can optimize resource allocation, schedule preventive maintenance, and reduce downtime. This ensures that resources are utilized efficiently, delays are minimized, and costs are optimized.

 

Another benefit of using IoT in project management is its ability to automate routine tasks through machine learning algorithms. These algorithms analyze large amounts of data generated from sensors and make predictions based on patterns identified over time.

 

Furthermore, IoT enables better communication among team members by providing a centralized platform for sharing information and updates. This leads to increased collaboration, as everyone has access to the same data and insights. IoT helps reduce costs associated with traditional project management methods by eliminating unnecessary paperwork and travel expenses. With everything managed digitally through connected devices, there are fewer physical resources required overall. Incorporating IoT into your project management process offers many valuable benefits that ultimately lead to smoother operations and successful outcomes.

 

Another benefit of IoT in project management is improved efficiency. By automating certain tasks with smart devices like sensors or drones, teams can save time and focus on more important aspects of the project. Additionally, data collected from these devices can be used to identify areas where improvements could be made further down the line

 

Conclusion

 

The Internet of Things (IoT) is a game-changer in project management. It is widely expected that the adoption of IoT will continue to grow across industries as more companies recognize its potential and benefits. The IoT market has been expanding rapidly in recent years, with a wide range of organizations implementing IoT solutions to improve their operations, enhance customer experiences, and drive innovation.

By leveraging the power of IoT, project managers can gain real-time insights, improve decision-making, optimize resource allocation, enhance collaboration, and mitigate risks. However, successful implementation requires careful planning, integration with project management systems, data security considerations, and a clear understanding of the specific project requirements and objectives.

The future of project management lies with IoT integration as it enables seamless collaboration among team members regardless of location or time zone. With proper utilization of this technology, businesses will achieve optimal performance levels leading to successful completion of projects within set timelines and budgets.

Top Tech trends for 2023: What can companies expect in 2023 and position themselves better?

The year 2022 was marked by supply chain disruptions, inflation, debt, labor market gaps, geopolitical uncertainties, fears of recession and increasing ransomware attacks. These developments continue to pose a critical threat to the companies. But it is also important to look into the future at the end of the year to be better prepared for the challenges and opportunities to come & heal covid19 scars.

 

Cloud budgets are being analysed more closely

According to a recent report by Veritas, misunderstanding about cloud security, scalability and storage has led most enterprises spending much more than anticipated. 93% of companies overspend on the cloud, exceeding budgets by an average of 43%. As the amount of data increases every year, the cost of storing it in the cloud also increases. For IT teams, this is becoming increasingly difficult to justify. Exceeding budget is mainly due to the misunderstanding nearly all organizations had that CSPs are responsible for protecting their assets in the clous. Although cloud adoption has enabled most companies to implement advanced business strategies, future CEOs and boards of directors will demand more transparency into the return on investment (ROI) of cloud spending. IT managers are under great pressure to justify their cloud budgets while finding new solutions to reduce data volume as Veritas expect IT spending to be reviewed even more closely in 2023.

The vast majority of enterprises fail to stay within their cloud budgets

Low-code and no-code make compliance difficult

As the demand for hyper-automation and IT modernization is growing at an exponential rate, low-code and no-code applications are contributing significantly to the democratization of application development in companies. In 2023 they will become even more established. The global low-code platform market is forecasted to generate a revenue of $187.0 billion by 2030, increasing from $10.3 billion in 2019, and is expected to reach 31.1% CAGR in the forecast period (2020-2030).

Employees without a technical background (citizen developers) can develop their own applications. Almost 60% of the custom apps are now built outside the IT department. Of those, 30% are built by employees with limited or no technical skills, creating huge compliance issues for businesses. Because citizen developers are less experienced in implementing security and privacy systems. Creating new vulnerabilities that can be exploited by cyber criminals.

 

Edge device vulnerability

Gartner analysts predict that by 2025, around 70% of of the data managed by organizations will be created and processed outside of the data center or cloud vs 10% now. Adoption of edge devices are considered as the solutions that facilitate data processing & generation. But this increasing shift of data processing to the edge complicates the IT architecture and increases the attack surface. Because of the lack of IT specialists, it is often not possible to provide the same level of protection at the network edge as in the data center or the cloud. Nevertheless, to fully protect the enterprise, every single edge device must be secured.

 

IOT & hyper-connectivity

We live in a hyperconnected world where worldwide companies are under huge pressure of shearing and integrating data in a smart way. It’s predicted that there will be more than 43 billion connected devices by 2023 with the goal of generating, collecting, shearing and helping companies to make use to data in the smartest way possible. 5G technologies are also boosting the full potential of IoT & hyper-connectivity. It’s true that IoT devices make our lives easier and more convenient but also comes with huge security issues if not well protected.

As the number of devices explodes during 2023 and beyond, device manufacturers and security experts will have to strengthen their strategies to fight against cyberattacks and minimize the chances of losing valuable data.

Automation myths debunked: Why is Automation important for your business?

Hardly any company that strategically pursues their company growth can get around automation today. Automation enables tasks that were previously slow, manual, old-fashioned, and time-consuming to be supported with suitable software and thus run independently. As a human error can be unpredictable and happen when you least expect it, with the right technology companies’ processes are more accurate and faster. Use cases of automation are, for example, employee onboarding, analyzing reports on transactions, monitoring bookkeeping activities regularly, customer service, databases updates, sending personalized emails, perform inventory, etc.

Business processes automation can not only be used to gain efficiency. Availability of modern technology, as well as enhanced software applications, have made it easier to increase employee efficiency and you can get better results when you embrace automation. A win-win situation for companies and employees.

 

But despite these benefits, there are still myths surrounding automation that keep companies from getting started. Even though automated processes create positive changes, still, many companies fear high costs, difficult implementation, and staff changes – but these are just prejudices that we would like to address here and thus show that every company can benefit from automation.

 

Automation is a complicated and complex process

Hmmm, yeah. Not if it’s done right. As is often the case, good preparation is half the work. So, before starting with automation, make sure you understand what your company’s expectations are. Your decision to automate must depend on your needs, capacity to build it, and also your customers’ requirements. Specific goals can be developed using your personal business case. This step is essential so that automation succeeds and creates benefits for the company.

These requirements should also be discussed in-depth with different automation tool providers instead of falling for fancy advertising promises or the cheapest subscription. It is advised to meet with different process automation providers for not only choosing the right tool, but also to evaluate your own requirements.

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The future is automated

‍Automated processes bring a lot of advantages in operational processes, such as improved operational efficiency, long-term cost reduction, better customer service, visibility & transparency, and an increase in productivity. However, if a company only carries a small range of products, stores a manageable amount of goods, and generally only offers a small storage capacity, there is no need to implement a fully automated system. In such cases, manual or partially automated solutions that grow with you are the better options. Companies then have to weigh up whether small order quantities can be processed more efficiently in this way.

 

Automation is killing jobs

Nowadays it is constantly stated that automation is accompanied by a huge burden of unemployment. With the increased use of machines and automated processes, the fear of reducing or replacing staff increases. It’s true that automation is impacting various jobs in different sectors around the world. Due to automation, human intervention is certainly reduced in a business process. For instance, from production to planning, everything can be controlled by artificial intelligence or machine intelligence. It is easier to bring accuracy into the production process and increase overall productivity with machine intelligence. Every company wants to reduce the number of its employees as much as possible through technological improvements. But that does not mean that we are heading towards an unemployed society in years to come. As the machines are performing tasks previously done by humans, companies are busy transforming and redesigning jobs in a way that can make technological elements compatible with human capital development. The future workplace is where humans and machines will enhance each other’s strengths by working side by side.

 

Existing systems prevent the integration of new solutions

Automation doesn’t happen overnight – Companies are constantly faced with the challenge of proper integration of a set of services related to automation and ensuring that all expectations are aligned with business goals. Integrating your automation initiatives successfully is impossible without a flexible, scalable infrastructure. Therefore, on-premise infrastructure must be avoided/limited because of its limitation in terms of automation roll-out, scalability, and ease of use. For this purpose, cloud solutions are ideal as they let you get straight to work without wasting your valuable time on on-premise setup and maintenance.

 

So, now that you know that automation is here to stay, and can help you better run your business, it’s a safe bet that such automation can be trusted and utilized. By taking into account the myths discussed in this article, and learning the truth about each, you’ll be able to run your business more effectively.

2021: Intelligent Data Management Will Enable the Future of Your Business

2021 Intelligent Data Management Will Enable the Future of Your Business

The EU’s GDPR has a major impact on the data privacy ecosystem. The regulation is an essential step to strengthen individuals’ / Business fundamental rights in the digital era we are living in. After two years of the introduction of the GDPR, the following question still arises: What will 2021 bring in terms of data management and data protection? According to Gartner, by 2023, 65% of the world’s population will have its personal data covered under some kind of modern privacy regulations.

 

It’s predicted that the technology for the preparation, control and administration of data will become much more efficient so that data is available more quickly and reliably. With the focus on foundational components of data integration, data governance, and data preparation the effectiveness of big data projects can be improved. With the right technology, data management can also drive enormous business value and support digital transformation. It’ll certainly help organizations to better manage the availability, usability, integrity, and security of their enterprise data.

 

Data has evolved over the years and will continue to evolve. Today’s organizations are data-centric; they accumulate enormous amounts of information in many different formats. Those who are unprepared to deal with the amount of data will be left behind compared to those ready to welcome all business opportunities that big data has to offer. Here below are 5 main areas that play a huge role in the good preparation of data management.

 

  • Data orchestration

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A frequently used term in the sales and marketing domain for whom data has a high priority as their data is the foundation of just about everything, they do. Simply put, data orchestration is the automation of data-driven processes that includes data preparation, making decisions based on that data, and taking actions based on those decisions. Data and API integration and data movement need to grow together to support all kinds of DataOps (data operations) methods. It’s a process that often spans across many different systems, departments, and types of data. It also requires a combination of different technologies that ensure a central data flow. This is the only way to orchestrate data-related activities – across different locations, on-premise or in the cloud.

 

  • Data discovery

In this process, relevant data insights are uncovering and transferred to the business users who need them. A comprehensive directory for searching, making available, saving, and interpreting data and other objects is becoming more and more important. Advanced Analytics enables the automation of mundane data management tasks and frees up resources to actually generate added value from the data. With the right use of data discovery tools, even the non-IT staff can easily access complex data sets and draw out the information they need. This process of knowledge discovery can be performed by anyone, without the technical know-how that was required in the past.

 

  • Data preparation

Data preparation is one of the most difficult and time-consuming challenges facing business users of BI and data discovery tools, as well as advanced analytics platforms, Rita Sallam – Research Vice-President at Gartner.” However Artificial intelligence (AI) has solved this problem by creating the basis for advanced data transformation and by enabling automatic cleansing and consolidation of data. This enables users without any prior technical knowledge to use data.

 

  • Model management

Model Management technologies help organizations consistently and safely in developing, validating, delivering, and monitoring models that create a competitive advantage. The focus is to put the central control of all models in a single application instead of the separate management of individual models. In view of the fact that many analytical models never go into production or quickly become obsolete (model decay), it is important that companies can quickly and easily register new models, adapt, track, evaluate, publish, regulate and document them.  Previously, model management referred just to monitoring production models, but it’s beyond that. Models drive new breakthroughs and operational improvements for businesses. According to a McKinsey study, organizations that leveraged models extensively showed a 7.5% profit margin advantage over their peers, whereas those that did not use models had a 2.5% profit margin deficit compared to their peers.

 

  • Data governance

“A data governance plan, supported by effective technology, is a driving force to help document the basis for lawful processing.” Data protection laws require companies to have data governance programs that provide “data privacy by default” and define policies, roles, and responsibilities for the access, management, security, and use of personal data. If they do not proactively advance standards and programs, they not only run the risk of contradicting legal requirements but they could also lose the trust of their partners/customers. With the use of advanced analytics and artificial intelligence in decision-making, they are therefore even more challenged to bring transparency to the algorithms.

 

Sources:

 

Basic Measures to Improve IOT Security

The Internet of Things has picked up speed. It continues to grow and is already a priority in both, our private and professional life. Today, even light switches and dishwashers have internet access. And at the same time, you have access to your IT systems. This creates numerous opportunities but also a completely new threat situation. Security measures in the particular IoT and Industrial IoT are particularly important because of the numerous weak points. Because, although the IoT is growing so dynamically, we are still at the beginning. Hackers, however, have long been keeping an eye out for the potential vulnerabilities. And not only that, the attacks are already successful. The financial impact of such incidents is severe:

 

  • In 2016, the Ponemon Institute estimated the average cost of a data breach at more than $ 7 million.
  • The Equifax incident will eventually cost the company $ 439 million.
  • This year Facebook fell victim to two spectacular security incidents. They were enough to stagger Facebook’s share prices, and CEO Mark Zuckerberg himself lost $ 11 billion and was forced to testify before a Congressional committee.

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Due to a vast variety of devices present in the market, data protection and data security are falling behind. To take fully advantage of intelligent IT and avoid security risks, companies must tale various actions and tailor security of IOT to their actual needs. For securing these IOT, comprehensive and precisely tailored concepts and solutions are important and effective. New standards and uniform standards would be necessary but are not implemented in the currently available concepts and therefore not automatically available. You can make an important contribution to security by making individual settings, by focusing on the encryption of stored and transmitted data and by monitoring and reporting the achievement of goals. The optimization of currently IOT available in the market is possible in a few steps:

 

  • The first step in finding better IoT security is risk analysis. Therefore, include IoT devices in your risk management and set the monitoring performance for all networked devices in the system. ENISA has published an online tool to assist IoT operators in risk assessment. The tool provides a combined view of the proven security methods. The information provided by this tool for each topic reflects the information contained in corresponding ENISA reports published in the past.
  • Align the comprehensiveness (degree of depth, consistency and assurance of security measures) and scope (degree of fit to the industry or system needs) of security needs with the investment of your IOT projects.
  • Activate a strong password protection.
  • Change the manufacturer’s default settings, set highly secure passwords, and focus on comprehensive security endpoint. Active scans of new devices support your comprehensive security concept.
  • Update device firmware.
  • Enable encryption in both hard drives and communication platforms.
  • Implement all of your IOT devices into your segmented network and protect them by your powerful firewall.
  • Don’t do any jailbreak of devices or installations of unauthorized third-party marketplaces
  • Create regular backups of the IoT automation server configuration and automation rules files.

 

A survey by Trend Micro shows that companies have significant weaknesses in the security of the Internet of Things. Only 14% of IT and security decision makers surveyed said they had a complete awareness of IoT threats in their organizations. 37% of respondents admitted they were not always able to define their security needs before implementing IoT solutions.

 

Cloud computing and IoT are dramatically changing IT infrastructures. It’s not just about the risk of individual devices, but the incidents that cyber-attacks show by the use of inadequately protected devices. When it comes to security and privacy in the IoT, not only risks to the IOT should be stopped but also risks posed by the IOT. Despite this dual motivation to do more for IoT security, Internet security is still not doing well. As important as special IT security solutions may be for the particular risks in IoT and Industrial IoT, even basic protection, which is common in traditional IT, could improve many things as long as the IoT solutions offer appropriate settings and functions.

Trends of Database Management

 

The world of data is constantly changing and evolving every second and has created a completely new dimension of growth and challenges for companies around the globe. Databases allow for data to be stored quickly and easily and are used in many aspects of your daily life. From your grocery store, bank to your favorite clothing store, all use databases to keep track of customer, inventory, HR and accounting information. Also, this article is stored in a database and its content is retrieved and displayed in your browser.

 

Classic databases can no longer meet the growing demands of the market. Businesses need a new kind of database to develop mission-critical applications and services for the evolving digital economy. Business requirements center on short response times with a large number of users, high scalability, flexibility, availability and access to structured but also unstructured data. With traditional databases, they can no longer meet these requirements, so organizations are increasingly turning to NoSQL database technologies based on a non-relational approach.

Consumers Are Increasingly Researching Purchases Online

According to the eCommerce Foundation’s, 88 % of consumer pre-research their buys, products or services, online, in order to compare the price, before making a purchase either online or in-store. Also, e-commerce in the B2B sector continues to grow. A good database system can help you manage all your business-critical data centrally, safely and securely – whenever you need it – to boost your chances of success.In addition to a high level of user-friendliness and customer satisfaction with short reaction times, the requirement in the online business is that the database supports customer behavior in the form of catalog management, customer profile management and content management.

Better management of HR, Customer data

By using a HR database, you can streamline most of the HR tasks, automate routine jobs and speed up the processing of data such as staff hours, leave, benefits, payroll, etc. This can leave you more time and money to focus on growing your business. A good customer and staff relationship is a KPI of your business growth. Therefore, a good CRM database is powerful enough to store and process everything, from customer contact details, interaction history and accounts, to new prospects, leads and business opportunities.

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Right Database for Your Internet of Things System

With the growth of Internet of Things (IoT), IoT architectures increasingly require data processing, analytics and storage at the network edge. Internet of Things links billions of sensors, machines, and devices of all kinds. Whole industries, such as the automotive and engineering industries, healthcare, smart cities are digitized. The resulting data must be processed quickly. NoSQL databases are being used for IOT as they can take a variety of forms and allow you to store and manipulate large amounts of unstructured and semi-structured data.

Mobile Databases

With the emergence of mobile computing the corporate information system also includes notebook computers and other portable devices. More and more people are using mobile platforms – whether smartphones, tablets or smart watches. Similar to desktop computing users, mobile users need access to information stored on corporate database servers. Key requirements for mobile databases include support for multiple mobile platforms with a single backend, synchronization of mobile data with remote databases in the cloud, and the creation of Offline first applications that do not require a network connection.

Cloud computing and Database expansion

The growth of data-driven enterprises is enforcing data administrators to deliver high-performing and responsive systems that can scale with the business. The ability to scale on demand and run large scale applications requires an agile IT infrastructure. They need databases that can deal with growing demands of businesses for real-time, analytical capabilities, incorporating data-driven initiatives such as the Internet of Things and artificial intelligence. Data administrators are responding and keeping up with these requirements through a combination of cloud resources and automation. To save costs and increase flexibility, more and more organizations are looking for distributed applications that run on bare metal servers, in virtualized, containerized, private, public, or hybrid cloud environments.

 

We can conclude that in order to fulfil business demands, database technologies used for information management are been rapidly evolving from traditional relational database management systems to MPP-based appliances, because an MPP database is a database that is optimized to be processed in parallel for many operations to be performed by many processing units at a time.

5G Technology – The Future of Connectivity

What New Services Will 5G Enable

The introduction of 5G is getting closer. Fifth generation technologies are fast approaching, and they have tremendous transformational potential to make our lives better. Better health care, smarter cities, a much more efficient industry; all of this becomes possible as the IOT grows and comes with a wide range of innovative solutions that drive our modern economy. However, without 5G networks, none of these elements can express its full potential. Service providers and telecommunications companies thus receive new opportunities – but also challenges such as investment protection for their 4G systems. But, the fact that 5G is at a growing stage of its evolution, provides a huge opportunity to apply the lessons learned from the implementation of the 3G and 4G / LTE systems.

In this blog post, I will try to explain what 5G is and why it offers such promises.

 

What is 5G? 5G is the term used to describe the next-generation of mobile networks. There isn’t any “official” definition of 5G; but it stands to fulfil the demand for continuous connectivity by creating an agile, purpose- built network tailored to the different needs of citizens and the economy. Unlike the previous three generations of public mobile network technology, 5G is targeting delivery of more than just “higher speed mobile broadband” for consumers – 5G brings an expectation of greater interconnectivity between a wider range of existing telecommunications networks and services, and an improved version of end-user experience by offering new applications and services through gigabit speeds, and significantly improved performance and reliability.

In addition to that, 5G, wireless technologies open up enormous opportunities in the field of IoT, for example in connected vehicles or smart city concepts. However, it takes some time and a lot of work to use these opportunities as well as there’s a huge investment challenge and the fear to not fall behind in the transition to 5G.

 

Features of 5G:

 

Main features of 5G Network technology are as follows:

  • 5G technology offer high resolutionit means up to 10Gbps data rate which represents 10 to 100x improvement over 4G and 4.5G networks
  • Offers bi-directionallargebandwidth; in numbers it represents 1000x bandwidth per unit area
  • 5G technology is providinglarge broadcasting of datainGigabitwhich supporting almost 65,000 connections with 99.999% of availability and 100% of coverage
  • The uploadingand downloading speed of 5G technology touching the peak.
  • The remote diagnostics
  • Through remotemanagementofferedby 5G technology a user can get better and fast solution.
  • The 5G technology also supportvirtual private
  • The 5G technology network offering enhanced and available connectivity just about the world
  • The 5G promises to offer better battery life for devices

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The creation of new career line:

 

Not only 5G is a revolution in networking, it also brings a cultural shift in business. For example, the new technology requires new skills in organizing and managing. In order to create and advance the underlying networks companiesneed employees who can understand and use the interaction and dynamics of all these software components.

A study estimates that in 2025 benefits from the introduction of 5G will create jobs in automotive, health, transport and energy. 5G deployment will bring millions of jobs and billions of euros benefits.

Automation-driven increases in productivity have already helped in many tasks for humans, such as the evaluation of data capacity, the monitoring of the network for operation limits or the search for harmful traffic. Instead, the focus of employees shifts to the results. So far, an engineer must plan a new service, get the hardware, set up the hardware, wire it, and then start the project. In this way, changing existing or deploying new services takes weeks or even months. In an automated environment, this work can be done in minutes or completely eliminated. But the success of the transition to new technologies depends on the decision-makers having a clear concept for this and the employees understanding this concept and being able to implement it.

 

The ear of Hyper-Automation

 

Automation is probably the most significant element of moving to 5G.With a new virtualized 5G technology layer, it is clear that automation is no longer a luxury option but more an essential and mandatory aspect of managing and leveraging increasingly complex networks. For a while, service providers will need to manage different bandwidth and connectivity requirements in parallel. Unfortunately, the platforms of many 4G networks are simply not designed for the scaling required. That’s where automation comes in: virtualized and cloud-based technologies allow existing networks to scale as needed, facilitating and optimizing migration to 5G services.

 

In highly distributed environments, the challenge is to gain meaningful infrastructure analysis and performance data. Switching to virtualized, automated, cloud and network-spanning environments gives service providers a comprehensive view of applications, user experience and performance. Therefore, hyper-automation is fast becoming the new paradigm in the effective management of complex heterogeneous networks and holds the answer to the challenges that lie ahead. It incorporates smart and rapid automation driven by advanced analytics and machine learning.

 

In the coming months-years, Communication Services Providers (CSPs) across the globe will be busy rolling out the 5G network. As it promises data rates 100x of 4G, network latency of under 1 millisecond, supports 1 million devices/sq. km., and 99.999% availability of the network, 5G is fundamentally different from 4G, LTE, or any other network the telecommunications (telecom) industry has ever seen before. In order to capitalize on this opportunity, your organization needs to operationalize fast data and make informed business decisions in-event and in real-time.

The Internet of Things and Big Data Management

 

 

A new survey from Juniper Researchand Gartner Insightson How to Lead in a Connected World, has revealed that in 2020, the total number of connected IoT, will exceed 50 billion devices compared to 21 billions of connected devices in 2018.

 

Organizations are using the vast amounts of data available from IOT diverse sources such as, wearable devices, smart sensors.With the huge increase in numbers of IOT devices, companies are facing unmanageable amounts of data. By using this data and rapidly analysing it, theyare makinginsightful decisions and usingthe information in a more targeted way to deliver better service, improvetheirbusiness processes, increase operational efficiencies, and last but not the least, grow revenues.in order to extract valuable information from the gathered data, they also have to come up with a strategy over data storage and protection. Society is reliant on the storage, process and transmission of data therefore ensuring the integrity, security and privacy of this data is fundamental.

 

The IoT devices can be located anywhere in the world and are part of every imaginable living and working environment. Our phones, computers, smart home, fridge, machines, cars are the existing proof of IoT.We are living in a world where IOThas formed a massive transformation in our way of living. Not only in our everyday life but wecan seea strong expansion of IoT in all industrial sectors. IoT networks devices are being used worldwide without restrictions.

 

As experts highlighted, with more than 20 billion connected things expected to be in use by 2020, organizations can be sure that cyber-criminals will be developing new ways in order to extract data that can be converted into money.Thus, organizations must also find new ways and update their traditional approaches and existing strategies to manage and protect their data.

 

In IoT,IT security remains a major technical challengeas all the devices and people are connected with each other to provide services at any time and at any place.Mostof thesedevices are not equipped with efficient security mechanisms and are vulnerable to various privacy and security issues e.g., confidentiality, integrity, and authenticity, etc. For the IoT, some security requirements must be fulfilled to prevent the network from malicious attacks. Herebelow aresome of the most required capabilities of a secure network.

 

      • Resilience to attacks: Most enterprises take years to build up their trustworthy reputation of a reliable organisation but overnight that reputation can be irrecoverably damaged by a cyber-attack or massive data leak.Therefore, the system should be capable enough to recover itself in case if it crashes during data transmission. For an example, a server working in a multiuser environment, it must be intelligent and strong enough to protect itself from intruders. In the case, if it is down it would recover itself without intimation the users of its down status.

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    • Data Authentication: Today, attackers can easily gain access to internal networks, whether at a remote branch or in the headquarters, by taking advantage of mobile devices and BYOD policies. They do this by posing as on-site contractors or launching phishing attacks against employees.Once attackers authenticate onto the network, they can connect to the applications used for IoT. With many enterprise architectures, cybercriminals can execute network-layer attacks — even if they are unauthorized to access the application — disrupting the service.Thus, the data and the associated information must be authenticated. An authentication mechanism is used to allow data transmission from only authentic devices.

 

    • Access control: Only authorized persons are provided access control. The system administrator must control access to the users by managing their usernames and passwords and by defining their access rights so that different users can access only relevant portion of the database or programs.

 

  • Client privacy: IoT data is mostly unstructured and can therefore easily be stored in the public cloud infrastructure. All major cloud vendors provide cost-effective, scalable storage systems based on object storage solutions. With fast networks and free data access, large amounts of enterprise IoT data can be optimally stored in the public cloud.Therefore, the data and information should be in safe hands. Personal data should only be accessed by authorized person to maintain the client privacy. It means that no irrelevant authenticated user from the system or any other type of client cannot have access to the private information of the client.

 

Clearly cyber-attacks are damaging and costly, however the true cost to an enterprise is in the damage to the trust the users place inproducts and the system. Not only can cyber-attacks damage individual businesses, the knock-on effect for the whole digital economy could be devastating. Due to the multiple layers of information flow for IoT devices, enterprises are under constant pressure and have to deal with the threats in these environments and the complex conditions that are constantly changing and evolving. Faced with these turbulent conditions, in order to ensure long term survival of the business, they must embrace agility and resilience to the core of any information assurance strategy.

 

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