Android and IOS Mobile Forensics

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.

• Chapter 1: Introduction to Mobile Forensics.- Chapter 2: Android Forensics Fundamentals.- Chapter 3: iOS Forensics Fundamentals.- Chapter 4: Leveraging Blockchain for Mobile Forensics.- Chapter 5: Investigating Mobile Banking and Financial Applications.- Chapter 6 Examination of social media and Messaging Applications and Cloud Forensics.- Chapter 7: Location-based Data Analysis and Geolocation Artifacts.- Chapter 8: Mobile Network Forensics .- Chapter 9: Mobile Browser Forensics.- Chapter 10: Leveraging Machine Learning for Digital Investigations.- Chapter 11: Machine Learning Applications in Mobile Forensics.- Chapter 12: Deep Learning Techniques for Mobile Forensics.- Chapter 13: Privacy and Security Considerations in Mobile Forensics.- Chapter 14: Future Trends and Emerging Technologies in Mobile Forensics.- Chapter 15: Ethical and Legal Frameworks in Mobile Forensics.