AI-Enabled Threat Detection and Security Analysis for Industrial IoT - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI-Enabled Threat Detection and Security Analysis for Industrial IoT write by Hadis Karimipour. This book was released on 2021-08-03. AI-Enabled Threat Detection and Security Analysis for Industrial IoT available in PDF, EPUB and Kindle. This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications. Each chapter corresponds to an important snapshot including an overview of the opportunities and challenges of realizing the AI in IIoT environments, issues related to data security, privacy and application of blockchain technology in the IIoT environment. This book also examines more advanced and specific topics in AI-based solutions developed for efficient anomaly detection in IIoT environments. Different AI/ML techniques including deep representation learning, Snapshot Ensemble Deep Neural Network (SEDNN), federated learning and multi-stage learning are discussed and analysed as well. Researchers and professionals working in computer security with an emphasis on the scientific foundations and engineering techniques for securing IIoT systems and their underlying computing and communicating systems will find this book useful as a reference. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, cyber security, and information systems. It also applies to advanced-level students studying electrical engineering and system engineering, who would benefit from the case studies.
Industrial Internet of Things Security
Industrial Internet of Things Security - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Industrial Internet of Things Security write by Sunil Kumar Chawla. This book was released on 2024-10-28. Industrial Internet of Things Security available in PDF, EPUB and Kindle. 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.
Smart and Agile Cybersecurity for IoT and IIoT Environments
Smart and Agile Cybersecurity for IoT and IIoT Environments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Smart and Agile Cybersecurity for IoT and IIoT Environments write by Al-Haija, Qasem Abu. This book was released on 2024-07-18. Smart and Agile Cybersecurity for IoT and IIoT Environments available in PDF, EPUB and Kindle. 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.
Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection
Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection write by Shilpa Mahajan. This book was released on 2024-06-12. Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection available in PDF, EPUB and Kindle. Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML) Applying Artificial Intelligence in Cyber Security Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cyber Security Analytics and Cyber Threat Detection explores topics such as: Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis Applications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering How AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats Offensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cyber Security Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.
AI-Driven Cybersecurity andThreat Intelligence
AI-Driven Cybersecurity andThreat Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI-Driven Cybersecurity andThreat Intelligence write by Iqbal H. Sarker. This book was released on . AI-Driven Cybersecurity andThreat Intelligence available in PDF, EPUB and Kindle.
