Android and IOS Mobile Forensics: Leveraging Blockchain, Machine Learning, and Deep Learning for Digital Investigations
暫譯: Android 與 iOS 行動取證:利用區塊鏈、機器學習及深度學習進行數位調查

Sheth, Ravi, Kaushik, Keshav, Parekha, Chandresh

  • 出版商: Apress
  • 出版日期: 2026-01-03
  • 售價: $2,110
  • 貴賓價: 9.8$2,068
  • 語言: 英文
  • 頁數: 483
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868817472
  • ISBN-13: 9798868817472
  • 相關分類: DeepLearningMachine LearningArduinoRaspberry Pi
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

商品描述(中文翻譯)

探索從行動裝置(包括 iOS 和 Android 型號)收集、評估和解釋數據的方法、資源和途徑。本書揭示了行動取證與深度學習、機器學習和區塊鏈等尖端技術之間的互動,提供了這些發展如何改變行業的見解。本書試圖填補理論與實踐之間的知識空白,通過對基本概念和最新進展的深入分析,成為任何希望提升行動取證知識並在不斷變化的數位調查領域中保持領先的人的寶貴工具。本書提出了幾種新穎且尖端的方法,這些方法有潛力徹底改變行動取證領域,例如使用深度學習和機器學習技術。此外,還對與行動裝置相關的區塊鏈數據進行了全面的檢視,這是一個日益重要的主題。

未來的主題如 5G 網路取證以及擴增實境(AR)和虛擬實境(VR)技術的取證應用也被納入,以幫助您為即將到來的發展做好準備。《Android 和 iOS 行動取證》採取全面的方法,確保您獲得應對行動取證挑戰所需的知識和能力。

您將學到的內容:
- 對 Android 和 iOS 裝置、社交媒體帳戶、行動銀行、金融應用、行動網路和地理位置資料進行取證分析。
- 在行動取證中應用人工智慧、機器學習、深度學習和區塊鏈技術。
- 從真實案例中收集和解釋數據。
- 確保調查中的隱私、安全和法律合規性。
- 為 5G、AR 和 VR 的取證挑戰做好準備。

本書適合對數位取證有基礎理解並希望深化知識的人,特別是在行動裝置的背景下。它適合已在該領域工作的專業人士以及相關學科的高級學生。

作者簡介

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.

作者簡介(中文翻譯)

Dr. Sheth 擁有超過 15 年的教學經驗。目前,Dr. Sheth 在甘地納格的 Rashtriya Raksha University 的資訊科技、人工智慧與網路安全學院擔任助理教授。他的研究興趣包括多媒體安全、機器學習、模式識別、VAPT 和網路取證。他在教學、研究和培訓方面擁有豐富的經驗。Dr. Sheth 曾為來自印度各地的法律專業人士、教師和學生組織過多個高品質的培訓和延伸計畫。他在國際同行評審的期刊上發表了超過 50 篇有關網路安全、網路取證和人工智慧的研究文章。Dr. Sheth 在國際和國內會議及研討會上發表了多篇研究論文。他曾受邀擔任多個工作坊/研討會/培訓計畫的資源人員,並為來自印度各地的法律專業人士、教師和學生就多媒體安全、社交媒體調查、網路取證、模式識別和暗網調查等各個方面進行了多場專家演講。

Chayal Narendrakumar 完成了資訊科技學士學位、資訊管理碩士學位、網路安全碩士學位,並目前正在攻讀網路安全領域的惡意軟體分析博士學位。目前,他擔任惡意軟體取證專家,為印度政府的各種執法機構提供協助和支持。他曾在 Rashtriya Raksha University(前身為 Raksha Shakti University)擔任網路取證助理教授。他在網路/數位取證和網路安全領域擁有超過 7 年的經驗。他曾多次前往犯罪現場收集數位證據以進行事件響應,並使用各種商業移動、記憶體、網路和惡意軟體取證工具。作為惡意軟體取證專家,他參與了涉及國家威脅和 APT 網路攻擊的案件。他是 2023 年 G20 網路安全核心團隊的成員。

Yash Diwakar 是一位高技能的網路安全專業人士,在事件管理、數位取證、惡意軟體分析和威脅獵捕方面擁有良好的業績記錄。Yash 擁有網路安全碩士學位,並在 Infosys Limited 和 eClinicalWorks India Pvt Ltd 等知名組織中擁有豐富的經驗,為任何團隊帶來了豐富的專業知識。Yash 擁有法律學士學位,對於提升網路安全實踐和解決當今數位世界中的複雜法律挑戰做出了貢獻。

Keshav Kaushik 是一位成就卓越的學者、網路安全和數位取證專家,目前在德拉敦的石油與能源研究大學(UPES)計算機科學學院擔任助理教授(選拔級)。作為網路安全卓越中心的核心成員,他在推進網路安全領域方面發揮了重要作用,通過其專注的教學和創新的研究。此外,他還擔任 Meerut ACM 專業分會的副主席,彰顯了他對專業社群的領導和承諾。他的學術旅程包括在 2016 年印度理工學院(IIT)羅帕爾的暑期教學研究獎學金計畫中擔任教學實習生,反映了他對知識和專業發展的持續追求。他的學術貢獻廣泛且具影響力,擁有超過 120 篇的出版物,其中包括 25 篇在 SCI/SCIE/Scopus 索引期刊上發表的同行評審文章和 40 篇在 Scopus 索引會議上發表的文章。他也是一位發明家,擁有一項已授權的專利和六項已發表的專利,以及五項已授權的著作權。