東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Android and IOS mobile forensics = leveraging blockchain, machine learning, and deep learning for digital investigations /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Android and IOS mobile forensics/ by Ravi Sheth ... [et al.].
其他題名:	leveraging blockchain, machine learning, and deep learning for digital investigations /
其他作者:	Sheth, Ravi.
出版者:	Berkeley, CA :Apress : : 2025.,
面頁冊數:	xxi, 483 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Digital forensic science. -
電子資源:	https://doi.org/10.1007/979-8-8688-1748-9
ISBN:	9798868817489

Android and IOS mobile forensics = leveraging blockchain, machine learning, and deep learning for digital investigations /
Android and IOS mobile forensicsleveraging blockchain, machine learning, and deep learning for digital investigations /[electronic resource] :by Ravi Sheth ... [et al.]. - Berkeley, CA :Apress :2025. - xxi, 483 p. :ill., digital ;24 cm.

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.

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. 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.

ISBN: 9798868817489

Standard No.: 10.1007/979-8-8688-1748-9doiSubjects--Topical Terms:

3338165
Digital forensic science.

LC Class. No.: HV8078.7

Dewey Class. No.: 363.250285

Android and IOS mobile forensics = leveraging blockchain, machine learning, and deep learning for digital investigations /
LDR:03800nmm a2200349 a 4500 001 2422962
003 DE-He213
005 20260102122821.0
006 m d
007 cr nn 008maaau
008 260505s2025 cau s 0 eng d
020 $a 9798868817489 $q (electronic bk.)
020 $a 9798868817472 $q (paper)
024 7 $a 10.1007/979-8-8688-1748-9 $2 doi
035 $a 979-8-8688-1748-9
040 $a GP $c GP
041 0 $a eng
050 4 $a HV8078.7
072 7 $a UMQ $2 bicssc
072 7 $a ULH $2 bicssc
072 7 $a COM051370 $2 bisacsh
072 7 $a UMQ $2 thema
072 7 $a ULH $2 thema
082 0 4 $a 363.250285 $2 23
090 $a HV8078.7 $b .A574 2025
245 0 0 $a Android and IOS mobile forensics $h [electronic resource] : $b leveraging blockchain, machine learning, and deep learning for digital investigations / $c by Ravi Sheth ... [et al.].
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2025.
300 $a xxi, 483 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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. 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.
650 0 $a Digital forensic science. $3 3338165
650 0 $a Mobile device forensics. $3 2149101
650 0 $a Blockchains (Databases) $3 3222206
650 0 $a Machine learning. $3 533906
650 1 4 $a Apple and iOS. $3 3167047
650 2 4 $a Operating Systems. $3 892491
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Sheth, Ravi. $3 3805169
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-1748-9
950 $a Professional and Applied Computing (SpringerNature-12059)