Android and IOS Mobile Forensics: Leveraging Blockchain, Machine Learning, and Deep Learning for Digital Investigations

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 Learn Perform forensic analysis on Android and iOS devices, social media accounts, mobile banking, financial applications, mobile networks, and Geo location artifacts Apply 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.

About the Author :
Dr. Sheth has more than 15 years of teaching experience. Currently Dr. Sheth is working as Assistant Professor in School of IT, AI and Cyber Security at Rashtriya Raksha University, Gandhinagar. His keen area of interest is in multimedia security, machine learning, pattern recognition, VAPT and Cyber Forensics. He has a conflate of combined experience in teaching, research, and training. Dr. Sheth had organized several high-quality training and extension programs for the law professional, teachers, and students from across India. He has published more than 50 research articles in an international refereed journal in cyber security, cyber forensics, and artificial intelligence. Dr. Sheth has presented many research papers in the International and National Conferences and Seminars. He had been invited as a resource person in many workshops/seminars/training programs. He had also delivered many expert talks on various aspects of Multimedia Security, Social Media Investigation, Cyber Forensics, Pattern Recognition and Darknet Investigation for the law professional, teachers and students from across India. Chayal Narendrakumar completed his, BE-IT, MBA-Information Management, M Tech Cyber Security and currently pursuing PhD in Malware analysis in the field of Cyber security. Currently he is working as a Malware Forensics expert and providing assistance and support to various law enforcement agencies of Govt of India. He worked as assistant professor cyber forensics in Raksha Shakti University now Rashtriya Raksha University. I am having more than 7 years of experience in the field of cyber/digital forensics and cyber security. He has visited various crime scene to collect digital evidences for incident response process and worked with various commercial mobile, memory, network and malware forensics tools. As a malware forensics expert, he was involved in the cases where national threat and APT cyber-attack is involved. He was part of core team of cyber security during G20 in 2023. Yash Diwakar is a highly skilled Cyber Security professional with a proven track record in incident management, digital forensics, malware analysis and threat hunting. With a Master's degree in Cyber Security and extensive experience in leading organizations like Infosys Limited and eClinicalWorks India Pvt Ltd, Yash brings a wealth of expertise to any team. With a Bachelor's degree in Law, Yash contributions to enhancing cybersecurity practices and addressing the complex legal challenges in today's digital world. Keshav Kaushik is an accomplished academician, cybersecurity, and digital forensics expert currently serving as an Assistant Professor (Selection Grade) in the School of Computer Science at the University of Petroleum and Energy Studies (UPES), Dehradun. As a key member of the Cybersecurity Centre of Excellence, he has been instrumental in advancing the field of cybersecurity through his dedicated teaching and innovative research. In addition to his academic role, he holds the prestigious position of Vice-Chairperson for the Meerut ACM Professional Chapter, highlighting his leadership and commitment to the professional community. His academic journey includes a notable stint as a Faculty Intern during the Summer Faculty Research Fellow Programme 2016 at the Indian Institute of Technology (IIT) Ropar, reflecting his continuous pursuit of knowledge and professional development. His scholarly contributions are extensive and impactful, with over 120 publications to his credit. This includes 25 peer-reviewed articles in SCI/SCIE/Scopus-indexed journals and 40 publications in Scopus-indexed conferences. He is also an inventor, holding one granted patent and six published patents, alongside five granted copyrights.