The world we live in today is highly interconnected and has seen a significant rise in the use of the Internet of Things (IoT) and Industrial Internet of Things (IIoT). This digital transformation, while beneficial, has also created new cybersecurity challenges. Cyber threats are becoming more sophisticated and frequent, and individuals and organizations alike must adopt intelligent and agile cybersecurity solutions to safeguard their digital assets. Smart and Agile Cybersecurity for IoT and IIoT Environments addresses this pressing challenge by providing a comprehensive guide to securing IoT and IIoT environments. The book offers insights into the latest cybersecurity strategies and technologies, from intelligent threat detection to agile security approaches. By delving into data privacy, network security, and incident response, readers can gain the knowledge and skills to fortify their cybersecurity posture and mitigate risks effectively.

WIRELESS COMMUNICATION in CYBERSECURITY Presenting the concepts and advances of wireless communication in cybersecurity, this volume, written and edited by a global team of experts, also goes into the practical applications for the engineer, student, and other industry professionals. Rapid advancement in wireless communications and related technologies has led to the use of newer technologies like 6G, Internet of Things (IoT), Radar, and others. Not only are the technologies expanding, but the impact of wireless communication is also changing, becoming an inevitable part of daily life. With increased use comes great responsibilities and challenges for any newer technology. The growing risks in the direction of security, authentication, and encryption are some major areas of concern, together with user privacy and security. We have seen significant development in blockchain technology along with development in a wireless network that has proved extremely useful in solving various security issues. Quite efficient secure cyber-physical systems can be constructed using these technologies. This comprehensive new volume covers the many methods and technologies used in intrusion detection in wireless networks. This book allows readers to reach their solutions using various predictive algorithm-based approaches and some curated real-time protective examples that are defined herein. Artificial intelligence (AI) concepts are devised and proposed for helping readers understand the core concepts of efficiencies of threats, and the parallel solutions are covered. The chapters also state the challenges in privacy and security levels for various algorithms and various techniques and tools are proposed for each challenge. It focuses on providing exposure to readers about data security and privacy for wider domains. The editorial and author team aims to address all possible solutions to the various problems faced in the newer techniques of wireless communications, improving the accuracies and reliability over the possible vulnerabilities and security threats to wireless communications. It is a must have for any engineer, scientist, or other industry professional working in this area.

This book constitutes the refereed proceedings of the 29th International Conference on Information and Software Technologies, ICIST 2023, held in Kaunas, Lithuania, in October 2023. The 27 full papers included in this volume were carefully reviewed and selected from 75 submissions. These proceedings contain a diverse array of research and insights in the field of Information Technology and related areas, such as: intelligent systems and software engineering advances, intelligent methods for data analysis and computer aided software engineering, language technologies and smart e-learning applications, AI-based it solutions.

This book is an invaluable reference for those operating within the fields of Cyber Security, Digital Forensics, Digital Policing, Computer Science and Artificial Intelligence. The Internet of Things (IoT) ecosystem presents a wide range of consumer, infrastructure, organisational, industrial and military applications. The IoT technologies such as intelligent health-connected devices; unmanned aerial vehicles (UAVs); smart grids; cyber-physical and cyber-biological systems; and the Internet of Military/Battlefield Things offer a myriad of benefits both individually and collectively. For example, implantable devices could be utilised to save or enhance patients’ lives or offer preventative treatments. However, notwithstanding its many practical and useful applications, the IoT paradigm presents numerous challenges spanning from technical, legal and investigative issues to those associated with security, privacy and ethics. Written by internationally-renowned experts in the field, this book aims to contribute to addressing some of these challenges. Lawyers, psychologists and criminologists could also find this book a very valuable resource at their disposal, and technology enthusiasts might find the book interesting. Furthermore, the book is an excellent advanced text for research and master’s degree students as well as undergraduates at their final years of studies in the stated fields.

The industrial landscape is changing rapidly, and so is global society. This change is driven by the growing adoption of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) technologies. IIoT and AI are transforming the way industrial engineering is done, enabling new levels of automation, productivity, and efficiency. However, as IIoT and AI become more pervasive in the industrial world, they also offer new security risks that must be addressed to ensure the reliability and safety of critical systems. Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments provides a comprehensive guide to IIoT security, covering topics such as network architecture, risk management, data security, and compliance. It addresses the unique security challenges that the cloud and edge environments pose, providing practical guidance for securing IIoT networks in these contexts. It includes numerous real-world case studies and examples, providing readers with practical insights into how IIoT security and AI-enabled industrial engineering are being implemented in various industries. Best practices are emphasized for the readers to ensure the reliability, safety, and security of their systems while also learning the latest developments in IIoT security for AI-enabled industrial engineering systems in this rapidly evolving field. By offering step-by-step guidance for the implantation process along with best practices, this book becomes a valuable resource for practitioners and engineers in the areas of industrial engineering, IT, computer engineering, and anyone looking to secure their IIoT network against cyber threats.

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Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

In the landscape of security, safety, and risk management, businesses grapple with challenges that extend beyond traditional financial considerations. The identification, analysis, and control of risks are pivotal elements for a business's sustainability, yet a comprehensive understanding of these components remains elusive. Stakeholders, including students, scholars, and practitioners, yearn for a resource that not only highlights the timeliness of risk management. Cases on Security, Safety, and Risk Management is the ideal resource for businesses navigating the complex landscape of risk. It positions security and safety as integral components of successful business practices. The prevailing notion that security is merely peripheral to business operations needs to be reshaped. The challenge lies in bridging this knowledge gap and offering insights that address the intricacies of risk management, fostering a paradigm shift in how businesses approach security and safety concerns. Businesses need a comprehensive exploration that goes beyond financial considerations, encompassing the identification, analysis, evaluation, mitigation, and control of risks that profoundly impact their survival and prosperity.

Information Technology Security and Risk Management: Inductive Cases for Information Security is a compilation of cases that examine recent developments and issues that are relevant to IT security managers, risk assessment and management, and the broader topic of IT security in the 21st century. As the title indicates, the cases are written and analyzed inductively, which is to say that the authors allowed the cases to speak for themselves, and lead where they would, rather than approach the cases with presuppositions or assumptions regarding what the case should be "about". In other words, the authors were given broad discretion to interpret a case in the most interesting and relevant manner possible; any given case may be "about" many things, depending on the perspective adopted by the reader, and many different lessons may be learned. The inductive approach of these cases reflects the design philosophy of the advanced IT Security and Risk Management course we teach on the topic here at the University of Canterbury, where all discussions begin with the analysis of a specific case of interest and follow the most interesting and salient aspects of the case in evidence. In our course, the presentation, analysis, and discussion of a case are followed by a brief lecture to address the conceptual, theoretical, and scholarly dimensions arising from the case. The inductive approach to teaching and learning also comes with a huge advantage – the students seem to love it, and often express their appreciation for a fresh and engaging approach to learning the sometimes-highly-technical content of an IT security course. As instructors, we are also grateful for the break in the typical scripted "chalk-and-talk" of a university lecture afforded by the spontaneity of the inductive approach. We were motivated to prepare this text because there seems to be no other book of cases dedicated to the topic of IT security and risk management, and because of our own success and satisfaction with inductive teaching and learning. We believe this book would be useful either for an inductive, case-based course like our own or as a body of cases to be discussed in a more traditional course with a deductive approach. There are abstracts and keywords for each case, which would help instructors select cases for discussions on specific topics, and PowerPoint slides are available as a guide for discussion about a given case.