LEADER 04666nam 22006255 450 001 9911049183403321 005 20260121111856.0 010 $a979-88-6881-748-9 024 7 $a10.1007/979-8-8688-1748-9 035 $a(MiAaPQ)EBC32470063 035 $a(Au-PeEL)EBL32470063 035 $a(CKB)44768762900041 035 $a(CaSebORM)9798868817489 035 $a(OCoLC)1569123833 035 $a(OCoLC)1568049798 035 $a(OCoLC-P)1568049798 035 $a(DE-He213)979-8-8688-1748-9 035 $a(EXLCZ)9944768762900041 100 $a20260102d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAndroid and IOS Mobile Forensics $eLeveraging Blockchain, Machine Learning, and Deep Learning for Digital Investigations /$fby Ravi Sheth, Keshav Kaushik, Chandresh Parekha, Narendrakumar Chayal 205 $a1st ed. 2025. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2025. 215 $a1 online resource (425 pages) 225 1 $aProfessional and Applied Computing Series 300 $aDescription based upon print version of record. 311 08$a979-88-6881-747-2 327 $aChapter 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. 330 $aExplore methods, resources, and approaches for gathering, evaluating, and interpreting data from mobile devices?including iOS and Android models. This book reveals at how mobile forensics and cutting-edge technologies like deep learning, machine learning, and blockchain interact, providing insights into how these developments are changing the industry. This book attempts to fill the knowledge gap between theory and practice by providing an in-depth analysis of both fundamental ideas and recent advances. It is an invaluable tool for anyone who wants to advance their knowledge of mobile forensics and remain ahead of the constantly changing landscape of digital investigations. The book presents several novel and cutting-edge approaches that have the potential to completely transform the area of mobile forensics, such the use of deep learning and machine learning techniques. Additionally, it offers a thorough examination of blockchain data in relation to mobile devices, a subject that is becoming more and more important. Future topics like 5G network forensics and the forensic applications of AR and VR technologies are included to prepare you for developments on the horizon. Android and IOS Mobile Forensics takes a comprehensive approach to ensure you gain the information and abilities needed to handle the challenges presented by mobile forensics. You will: Perform forensic analysis on Android and iOS devices, social media accounts, mobile banking, financial applications, mobile networks, and Geo location artifacts Apply AI, machine learning, deep learning and blockchain in mobile forensics. Gather and interpret data from real-world cases. Ensure privacy, security, and legal compliance in investigations. Prepare for 5G, AR, and VR forensic challenges. 410 0$aProfessional and Applied Computing Series 606 $aApple computers 606 $aOperating systems (Computers) 606 $aMachine learning 606 $aApple and iOS 606 $aOperating Systems 606 $aMachine Learning 615 0$aApple computers. 615 0$aOperating systems (Computers) 615 0$aMachine learning. 615 14$aApple and iOS. 615 24$aOperating Systems. 615 24$aMachine Learning. 676 $a363.250285 700 $aSheth$b R. K$g(Ravi K.)$01890605 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911049183403321 996 $aAndroid and IOS Mobile Forensics$94532662 997 $aUNINA