IoT Security
Article | June 27, 2023
Edge computing enables the IoT to move intelligence out to the edge. If organizations have a lot of data and need to use it, they should do so in end-to-end paths, environments with lots of sensors, or environments where a lot of data is generated at the edge, thanks to the Internet of Things (IoT) and edge data sensing. Additionally, traditional methodologies fall short of the necessary standards when dealing with real-time information and the growing amount of unstructured data, which includes a sensor and IoT data. For management, power concerns, analytics, real-time needs, and other IoT situations, speed and high-speed data are essential elements. This enables edge computing to handle data.
The Internet of Things (IoT) benefits from having compute capacity close to the location of a physical device or data source. IoT device data needs to be processed at the edge rather than traveling back to a central site before that analysis can be done in order to react quickly or prevent concerns. For the data processing and storage requirements of IoT devices, edge computing serves as a local source.
Benefits of Using IoT and Edge Together
The connection between IoT devices and the main IT networks has less latency.
Greater operational efficiency and quicker response times.
Network bandwidth improvement.
When a network connection is lost, the system continues to run offline.
Utilizing analytics algorithms and machine learning, local data processing, aggregation, and quick decision-making are possible.
Industrial IoT, often known as IIoT, is the application of IoT in an industrial setting, such as factory machinery. Consider the lifespan of the large, factory-used machinery. Equipment may be stressed differently over time depending on the user, and malfunctions are a regular aspect of operations.
The parts of the machinery that are most prone to damage or misuse can be equipped with IoT sensors. Predictive maintenance can be performed using the data from these sensors, cutting down on overall downtime.
Because IoT devices can be used as Edge Computing, the line between IoT and Edge Computing can occasionally be razor-thin. However, the most significant difference is the ability not only to compute data locally (in real-time) but also to sync that data to a centralized server at a time when it is safe—and feasible—to send.
IoT and edge computing are both here to stay since they fulfill crucial societal and commercial needs.
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IoT Security
Article | July 5, 2023
Explore the world of readings on IoT security, to address complex cyber security challenges and privacy issues. It caters to a wide range of readers including industrialists, students & enthusiasts.
The Internet of Things (IoT) has revolutionized industries, enabling innovative applications and improved efficiency. However, along with the numerous benefits of the IoT comes the pressing need for robust security measures. As IoT devices become more prevalent and interconnected, their risks and vulnerabilities also increase. The experts in the domain must stay updated with the latest security practices and techniques to ensure IoT systems' integrity, confidentiality, and availability. A wide range of books has been explicitly tailored address these security concerns.
1. Analytics for the Internet of Things (IoT)
Author: Andrew Minteer
Analytics for the Internet of Things (IoT): Intelligent analytics for your intelligent devices provides a comprehensive guide for businesses aiming to make informed decisions and gain greater control over their IoT infrastructure. Written by an expert in the field, this book equips readers with the essential knowledge and techniques to solve the unique challenges associated with IoT and extract valuable insights from vast amounts of data. The book begins by tackling the complex task of extracting value from large volumes of often complex IoT data, empowering readers to make data-driven decisions. Strategies to address data quality concerns are discussed, ensuring that readers are equipped to handle the inherent challenges. It offers readers approaches to optimize business value and bring down costs. Scaling both data storage and analytics is a critical consideration in IoT deployments, and the book provides practical insights into handling scale effectively. The book covers a range of topics, including transmission protocols, data flow, value extraction, geospatial analytics, machine learning, and optimizing business value.
2. Industrial Internet of Things (IIoT)
Editors: R. Anandan, Suseendran Gopalakrishnan, Souvik Pal, Noor Zaman
One of the essential IoT security books, Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance comprehensively explores how the industrial internet is transforming through increased network agility and the ability to deploy, automate, integrate artificial intelligence, orchestrate, and secure diverse use cases at hyperscale. The adoption of industrial automation on a large scale is revolutionizing business processes, with the market for industrial robots projected to reach $73.5 billion by 2023. The book highlights how IoT industrial automation provides numerous advantages, including enhanced efficiency, high accuracy, cost-effectiveness among others. This book presents real-world case studies in IIoT, robotic and intelligent systems, and web-based applications. The content is tailored to appeal to a broad audience, including working professionals, educators, and researchers in various technical disciplines. The book provides industry leaders with valuable insights by proposing business models that revitalize the workforce.
3. IoT and OT Security Handbook
Authors: Smita Jain, Vasantha Lakshmi, Foreword: Dr Rohini Srivathsa
IoT and OT Security Handbook: Assess risks, manage vulnerabilities, and monitor threats with Microsoft Defender for IoT is a comprehensive guide that equips industrial security, IoT security, and IT security professionals with the knowledge and tools to effectively address cybersecurity challenges in the rapidly evolving world of IoT and OT. In the era of the Fourth Industrial Revolution, where digital transformation and connected industries dominate, the book sheds light on the pressing security concerns that must be addressed to ensure data protection and operational resilience. Through a deep dive into the Purdue model of reference architecture, readers gain a solid understanding of common cyber-attacks prevalent in IoT and OT environments. The centerpiece of the book revolves around Microsoft Defender for IoT, a powerful security solution specifically designed to safeguard IoT and OT ecosystems. Furthermore, the concept of zero trust, which is crucial for establishing a robust security foundation, is thoroughly explored with practical insights on its implementation in the context of IoT devices.
4. Practical Internet of Things Security
Author: Brian Russell, Drew Van Duren
Practical Internet of Things Security: Design a security framework for an Internet connected ecosystem is an indispensable guide that navigates the complex realm of securely building and deploying systems in our IoT-connected world. The book primarily targets IT security professionals, security engineers, and individuals responsible for ensuring the security of their organization's data in the IoT landscape. However, it also serves as a valuable resource for business analysts and managers seeking to understand and address the security challenges associated with IoT deployments. Readers will gain a wealth of knowledge and practical skills, including breaking down cross-industry barriers, building a rock-solid security program, applying systems security engineering and privacy-by-design principles, and harnessing cloud-based systems. It delves into the unique security challenges associated with IoT and provides practical guidelines for architecting and deploying a secure IoT ecosystem within an enterprise.
5. IoT: Security and Privacy Paradigm (Internet of Everything (IoE))
Editors: Souvik Pal, Vicente García Díaz, Dac-Nhuong Le
IoT: Security and Privacy Paradigm is a comprehensive and authoritative resource that explores the evolution of security and privacy issues within the realm of the IoT. This book serves as a single reference point for students, researchers, and practitioners seeking to better understand the IoT security platforms and privacy landscape. The book adopts security engineering and privacy-by-design principles to design and implement robust cyber-security solutions within IoT ecosystems. It takes readers on a journey, starting with exploring security issues in IoT-enabled technologies and their practical applications. The book provides practical guidance on tackling security challenges and constructing a secure infrastructure for IoT devices. The book thoroughly discusses security challenges and solutions in areas such as RFID, WSNs, and IoT. The primary audience for this book includes specialists, researchers, graduate students, designers, experts, and engineers focused on security-related issues and research.
6. IoT Security Issues
Author: Alasdair Gilchrist
IoT Security Issues addresses the rapid proliferation of internet-connected devices, where security often takes a backseat to product development. This book delves into the inherent vulnerabilities and IoT security challenges, offering insights on how to address and mitigate these issues. By examining the root causes of these problems and emphasizing the importance of programming and security best practices, the author presents practical solutions to combat the lax security processes prevalent in the IoT landscape. This book caters to a wide range of readers, including programmers who have yet to focus on the IoT, security professionals, and individuals with a keen interest in hacking and making. While a basic programming background would be beneficial for certain chapters later in the book, the core content is explained in a manner that is approachable for readers from various backgrounds.
7. Security and Privacy Issues in IoT Devices and Sensor Networks
Editors: Sudhir Kumar Sharma, Bharat Bhushan, Narayan C. Debnath
This book, of all the IoT security books, delves into the critical aspects of security breaches in IoT and sensor networks, offering a comprehensive exploration of potential solutions. The book takes a two-fold approach, thoroughly examining the fundamentals and theoretical foundations of sensor networks and IoT security. It then explores the practical IoT security solutions that can be implemented to enhance the security of these elements, providing illuminating case studies to reinforce understanding. The book is an invaluable resource for industry professionals working with wireless sensor networks (WSN) and IoT systems, enabling them to elevate the security of these interconnected systems. Additionally, researchers, material developers, and technology specialists grappling with the intricate nuances of data privacy and security enhancement will find the book's comprehensive information highly beneficial.
Final thoughts
IoT security for professionals involves implementing secure communication protocols, strong authentication, device management, data encryption, access control, and regular security audits. It is crucial to stay updated, maintain a security-aware culture, and prioritize the ongoing monitoring and adaptation of security measures to address emerging threats.
The above listed books delve into various aspects of IoT security, providing insights, strategies, and practical solutions to mitigate risks and protect IoT ecosystems. This article highlights some essential IoT security books that are indispensable resources for IoT professionals striving to enhance the security posture of their organizations. They also provide real world case studies, best practices and strategies to minimize risks.
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IoT Security
Article | July 17, 2023
The nature of digital and physical security is evolving as a result of cloud-based IoT software, which enables both security components to be combined and used to exploit data better.
Commercial use of cloud-based IoT software is possible, and cloud-based solutions have some advantages in the area of security. IoT technology, which is essential to this development, is driving worldwide development in many areas and revolutionizing daily operations for many businesses.
Data is essential to success in almost every sector, and security is no exception. To better understand what's going on in your business, you can combine cloud-based solutions that contain all the information on a single interface. For instance, integrating security camera feeds with cloud-based access control systems enables real-time visual identification verification.
The Impact of Combining Physical and Cyber Security
Combining digital and physical security, often known as security convergence, helps optimize IoT and cloud-based security systems. A cloud-based physical security system needs cybersecurity software to guard against internet flaws and intrusions. Similarly, physical security measures prevent sensitive data from getting into the wrong hands. Teams for physical and cyber security might combine to provide a more comprehensive action plan. The more seamlessly all physical and digital security components are linked, the more secure and future-proof a commercial system will be.
When organizations use IoT technology, cybersecurity is a significant concern. However, by combining physical and digital security, organizations can make sure their cloud-based systems are well protected from vulnerabilities. In addition, the security and IT teams will also be better able to manage the evolving security landscape when the organization combines physical and digital security ideas.
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Enterprise Iot
Article | May 17, 2022
Understanding the Impact of IoT Device Management
The Internet of Things (IoT) industry is growing exponentially, with the potential to become limitless. The current range of existing and potential Internet of Things devices is in itself quite enormous. This also gives businesses an opportunity to pay more attention to the newest technologies.
In ascenario with rapidly increasing numbers of devices, manual management of devices becomes close to impossible, laced with human errors. Moreover, keeping an eye on hundreds of devices one by one to make sure they work the way they should is not an easy task to undertake.
Businesses at the outset of IoT adoption are most often unaware of why they require a device management platform.This is precisely why a device management platform is so crucial.It can effectively connect toall of theconnected devices and get the required information from them in the right way.
An effective device management platform can turn out to be the vital aspect that will define the success of any small or large IoT implementation project. Such a platform would ideally allow organizations to manage their internet-connected devices remotely.
"If you think that the internet has changed your life, think again. The IoT is about to change it all over again!" — Brendan O'Brien, Chief Architect & Co-Founder, Aria Systems.
Why Do Organizations Need an IoT Device Management Platform?
An effective IoT device management platform offers simplified provisioning, centralized management, and real-time insights into all existing devices and integrations to help organizations stay on top of their deployment.
Device management platforms help you keep a check on the growing number of devices while keeping errors at bay, with your growing number of connected devices. It would ensure that you have a clear dashboard and an alerting system as an effective supporting system. In addition, getting involved with IoT device management platforms can also help you in a number of other ways.
It acceleratestime-to-market and helps reduce costs
The management platform enables secure device on and offboarding
It also streamlines network monitoring and troubleshooting
IoT simplifies deployment and management of downstream applications
It mitigates security risks
Evaluating the Future of IoT Device Management
It is predicted that the world will have more than 100 billion IoT-connected devices by 2050. The future potential of the IoT is limitless, and the potential is not about enabling billions of devices together but leveraging the enormous volumes of actionable data thatcan automate diverse business processes.
Critical Aspects of the IoT's Future
The critical aspects of IoT predictionsare fast impacting several categories all across the globe, ranging from consumer to industrial.
IoT Companies and a Circular Economy
IoT firms are assisting in the development of a future with less waste, more energy efficiency, and increased personal autonomy. A connected device system, on the other hand, must be feedback-rich and responsive, and activities must be linked via data in order to be sustainable. Ways to achieve a responsive and actionable system include:
Extending the use cycle with predictive maintenance.
Increasing utilization and reducing unplanned downtime.
Looping the asset for reuse, remanufacture, or recycle.
Common Billing and Revenue Challenges
We are currently moving toward a future where everything from cars to household machines and home security will be sold by manufacturers as subscription services. This will result in organizations selling IoT subscriptions looking for new ways to managebilling and revenue for their business model.
Service diversity
Data monetization
Complex stakeholder network
Cost management
Cohesive IoT Deployment Strategy for the C-suite
With the future of IoTon its way to becoming the most disruptive innovation and compelling technology that will facilitate better services to customers, from a support perspective, being connected remotely with customers' devices offers considerable advantages to service organizations. However, this is also not a new concept; earlier, large organizations and data storage companies were remotely connected to their client systems using dedicated telecommunications links before the commercialization of the internet.
Using the estimates of the exponential rise in connected devices, the IoT offers a wide array of opportunities to effectively improve the industry, such as:
Consumer activity tracking includes in-store applications that assess traffic flow and purchase choices.
Manufacturing, storage, distribution, and retail operations have been optimized to increase productivity and reduce waste.
Energy, inventory, and fleet assets are all used more efficiently.
Improved situational awareness, such as vehicle warning systems
Enhanced decision-making, such as medical equipment that notifies doctorswhen a patient's health changes.
Self-parking and self-driving automobiles are examples of autonomous systems.
An interesting case study with Michelin showed that they were adding sensors to tires to better understand wear over time. This data is important for clients to know when to rotate or replace tires which saves them money and enhances safety. However, this also implies Michelin can move away from selling tires and instead lease them. Because sensor data will teach the corporation how to maintain the tires, Michelin now has a new economic incentive to have tires last as long as feasible. IoT device management plays a crucial role in effectively accumulating and processing data from all the widely distributed IoT sensors.
Conclusion
As more sectors discover the advantages linked machines can bring to their operations, IoT enterprises have a bright future ahead of them. Newer services are steadily being pushed out on top of IoT infrastructure in industries ranging from healthcare to retail, telecommunications, and even finance. Due to increasing capacity and AI, service providers will move deeper into IT and web-scale industries, enabling whole new income streams as IoT device management platforms adapt to address these obstacles.
FAQ
Why Is Device Management Crucial for the IoT?
An IoT device management platform's features may help you save time and money and increase security while also providing the critical monitoring and management tools you need to keep your devices up-to-dateand optimized for your unique application requirements.
What Impact Will the IoT Have on the Management or Administration Sectors?
IoT technology allows for increased collaboration, but it will also free up your team's time from monotonous and isolating duties. For example, routine chores may be encoded into computers, freeing up time to concentrate on higher-order tasks.
What Are the Basic Requirements for IoT Device Management?
The four essential needs for IoT Device Management are as follows.
Authentication and provisioning
Configuration and Control.
Diagnostics and monitoring
Updating and maintaining software.
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