Ravi Sheth – författare

Next-Generation VAPT: Combining OSINT and AI/ML for Enhanced Vulnerability Assessment and Penetration Testing empowers information security threat intelligence with the fusion of Open-Source Intelligence Tools (OSINT) and Artificial Intelligence and Machine Learning (AI/ML) to identify and detect vulnerabilities more efficiently and effectively. The book highlights the concept of OSINT for gathering actionable threat intelligence and AI/ML for automating threat detection, which ultimately enhances VAPT processes. The authors explain concepts for assessing the security of networks, wireless networks, performing VAPT on mobile devices, and conducting red teaming, which helps end users deal with upcoming threats at an early stage.It focuses on using machine intelligence for developing and validating exploits and AI-driven exploitation testing, which helps field experts discover and exploit vulnerabilities more quickly and accurately. Readers will find essential ethical and legal considerations in AI/ML and OSINT-based VAPT, ensuring responsible and compliant testing practices, accountability, and transparency. Industry Case Studies with solutions and safeguards are an integral part of the books applied approach.Provides step-by-step guides for implementing AI/ML and OSINT into the VAPT process, including comprehensive guidance for the selection, configuration, and execution of tools for application of these technologiesHelps readers with the most up-to-date methods and approaches that seamlessly blend AI/ML and OSINT to supplement traditional VAPT, enabling readers to remain ahead of new threats as they begin to implement more forward-thinking and intelligent methodologiesProvides readers with an in-depth view on how AI/ML can automate and improve vulnerability assessments and penetration testing, including practical examples for enhancing these technologies within existent security practicesPresents advanced techniques and methodologies for complex environments such as exploit development and validation, wireless network VAPT, web VAPT, threat intelligence, incident response, and Mobile app VAPT with the fusion AI-ML and OSINTReveals how OSINT along with AI/ML have contributed to improving the practice of red teaming, emphasizing the importance of conducting adversarial tests to facilitate response against complex attacks at an early stage

This book is aimed at a diverse audience including students, researchers, academicians, cybersecurity professionals, IT managers, Metaverse developers, business leaders, policymakers, and tech enthusiasts. This book is for everyone—from beginners to experts, researchers, and students. It offers insights and tools suitable for people with different levels of knowledge, making it accessible to a wide range of readers. The book fits alongside other published books by addressing the rapidly evolving intersection of cybersecurity and the Metaverse, a niche yet increasingly critical area.Unlike traditional cybersecurity books that focus on current internet and IT infrastructures, this book uniquely targets the virtual environments of the Metaverse. It combines advanced technological insights with practical strategies, providing a specialized resource that bridges the gap between conventional cybersecurity literature and the futuristic needs of Metaverse security. This positions it as an essential read for those looking to stay ahead in the field of cybersecurity within the context of next-generation internet platforms.

Explore methods, resources, and approaches for gathering, evaluating, and interpreting data from mobile devices—including iOS and Android models. This book reveals at how mobile forensics and cutting-edge technologies like deep learning, machine learning, and blockchain interact, providing insights into how these developments are changing the industry. This book attempts to fill the knowledge gap between theory and practice by providing an in-depth analysis of both fundamental ideas and recent advances. It is an invaluable tool for anyone who wants to advance their knowledge of mobile forensics and remain ahead of the constantly changing landscape of digital investigations. The book presents several novel and cutting-edge approaches that have the potential to completely transform the area of mobile forensics, such the use of deep learning and machine learning techniques. Additionally, it offers a thorough examination of blockchain data in relation to mobile devices, a subject that is becoming more and more important. Future topics like 5G network forensics and the forensic applications of AR and VR technologies are included to prepare you for developments on the horizon. Android and IOS Mobile Forensics takes a comprehensive approach to ensure you gain the information and abilities needed to handle the challenges presented by mobile forensics.  What You'll LearnPerform forensic analysis on Android and iOS devices, social media accounts, mobile banking, financial applications, mobile networks, and Geo location artifactsApply AI, machine learning, deep learning and blockchain in mobile forensics.Gather and interpret data from real-world cases.Ensure privacy, security, and legal compliance in investigations.Prepare for 5G, AR, and VR forensic challenges.Who This Book Is For Those who have a foundational understanding of digital forensics and are looking to deepen their knowledge, especially in the context of mobile devices. It is suitable for professionals already working in the field, as well as advanced students in related disciplines.