Smart And Agile Cybersecurity For Iot And Iiot Environments


Download Smart And Agile Cybersecurity For Iot And Iiot Environments PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Smart And Agile Cybersecurity For Iot And Iiot Environments book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Smart and Agile Cybersecurity for IoT and IIoT Environments


Smart and Agile Cybersecurity for IoT and IIoT Environments

Author: Al-Haija, Qasem Abu

language: en

Publisher: IGI Global

Release Date: 2024-07-18


DOWNLOAD





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.

Advancing Cybersecurity in Smart Factories Through Autonomous Robotic Defenses


Advancing Cybersecurity in Smart Factories Through Autonomous Robotic Defenses

Author: Kumar, Rajeev

language: en

Publisher: IGI Global

Release Date: 2025-04-29


DOWNLOAD





As industrial automation increasingly relies on artificial intelligence (AI) to drive robotic and drone technologies, the need to secure these systems against sophisticated cyber threats has become paramount. By exploring the cybersecurity challenges and solutions for AI-powered industrial systems, AI has become key for advancing real-time threat detection and adversarial machine learning attacks. The implementations of secure AI-driven robotics and drones reach various industrial sectors such as manufacturing, energy, logistics, and agriculture. AI is transforming industrial automation and, at the same time, exposing these systems to new vulnerabilities. Advancing Cybersecurity in Smart Factories Through Autonomous Robotic Defenses bridges the gap between the technical aspects of AI, industrial automation, and the evolving landscape of cybersecurity. This book provides readers with insight into the most recent advancements in AI-powered security tools, explore ethical and regulatory considerations, and learn practical strategies to protect complex systems from cyberattacks. Covering topics such as smart factories, wearable devices, and drone systems, this book is an excellent resource for cybersecurity professionals, computer engineers, industrial engineers, policymakers, policy regulators, professionals, researchers, scholars, academicians, and more.

Modern Insights on Smart and Secure Software Development


Modern Insights on Smart and Secure Software Development

Author: Abu Al-Haija, Qasem

language: en

Publisher: IGI Global

Release Date: 2025-04-29


DOWNLOAD





The integration of emerging technologies, such as artificial intelligence (AI), machine learning (ML), and blockchain, in software development enhance the potential of software systems. For organizations, this can impact the efficiency of processes, automating their systems and increasing their cyber resilience. As a result, they have the ability to revolutionize healthcare systems, security systems, communication systems, and more. These emerging technologies, thus, may improve human-computer interaction and enhance information security for users. Modern Insights on Smart and Secure Software Development provides some best practices for creating intelligent and secure software applications. It explores the latest methodologies, tools, and techniques for integrating smart features and robust security measures into software projects. Covering topics such as vulnerability management, regression test selection approaches, and deep neural networks (DNNs), this book is an excellent resource for software developers, cybersecurity professionals, computer engineers, professionals, researchers, scholars, academicians, and more.