Practical Forensic Analysis of Artifacts on iOS and Android Devices: Investigating Complex Mobile Devices (Paperback)
暫譯: iOS 與 Android 裝置上文物的實務取證分析：調查複雜的行動裝置 (平裝本)

Moreb, Mohammed

Practical Forensic Analysis of Artifacts on iOS and Android Devices: Investigating Complex Mobile Devices (Paperback)
  • 出版商: Apress
  • 出版日期: 2022-04-16
  • 售價: $1,770
  • 貴賓價: 9.5 折 $1,682
  • 語言: 英文
  • 頁數: 548
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484280253
  • ISBN-13: 9781484280256
  • 相關分類: Android、Apple Developer

    • 立即出貨 (庫存=1)

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商品描述

Leverage foundational concepts and practical skills in mobile device forensics to perform forensically sound criminal investigations involving the most complex mobile devices currently available on the market. Using modern tools and techniques, this book shows you how to conduct a structured investigation process to determine the nature of the crime and to produce results that are useful in criminal proceedings. 
You’ll walkthrough the various phases of the mobile forensics process for both Android and iOS-based devices, including forensically extracting, collecting, and analyzing data and producing and disseminating reports. Practical cases and labs involving specialized hardware and software illustrate practical application and performance of data acquisition (including deleted data) and the analysis of extracted information. You'll also gain an advanced understanding of computer forensics, focusing on mobile devices and other devices not classifiable as laptops, desktops, or servers. 
This book is your pathway to developing the critical thinking, analytical reasoning, and technical writing skills necessary to effectively work in a junior-level digital forensic or cybersecurity analyst role.  
What You'll Learn

- Acquire and investigate data from mobile devices using forensically sound, industry-standard tools
- Understand the relationship between mobile and desktop devices in criminal and corporate investigations
- Analyze backup files and artifacts for forensic evidence

Who This Book Is For
Forensic examiners with little or basic experience in mobile forensics or open source solutions for mobile forensics. The book will also be useful to anyone seeking a deeper understanding of mobile internals.

商品描述(中文翻譯)

利用行動裝置取證的基礎概念和實用技能，進行涉及當前市場上最複雜行動裝置的法醫學調查。這本書使用現代工具和技術，展示如何進行結構化的調查過程，以確定犯罪的性質並產生對刑事訴訟有用的結果。
您將逐步了解針對 Android 和 iOS 設備的行動取證過程的各個階段，包括法醫學提取、收集和分析數據，以及生成和發佈報告。實際案例和實驗室涉及專用硬體和軟體，說明數據獲取（包括已刪除數據）和提取信息分析的實際應用和性能。您還將深入了解計算機取證，重點關注行動裝置及其他無法歸類為筆記型電腦、桌上型電腦或伺服器的設備。
這本書是您發展批判性思維、分析推理和技術寫作技能的途徑，這些技能對於有效地在初級數位取證或網路安全分析師角色中工作是必要的。

您將學到的內容
- 使用法醫學標準工具獲取和調查行動裝置中的數據
- 理解行動裝置與桌上型裝置在刑事和企業調查中的關係
- 分析備份文件和文物以尋找法醫證據

本書適合對象
對行動取證或開源行動取證解決方案有少量或基本經驗的法醫檢查員。本書對於任何希望深入了解行動內部運作的人也將非常有用。

作者簡介

Mohammed Moreb, Ph.D. in Electrical and Computer Engineering. Expertise in Cybercrimes & Digital Evidence Analysis, specifically focusing on Information and Network Security, with a strong publication track record, work for both conceptual and practical wich built during works as a system developer and administrator for the data center for more than 10 years, config, install, and admin enterprise system related to all security configuration, he improved his academic path with the international certificate such as CCNA, MCAD, MCSE; Academically he teaches the graduate-level courses such as Information and Network Security course, Mobile Forensics course, Advanced Research Methods, Computer Network Analysis and Design, and Artificial Intelligence Strategy for Business Leaders.

Dr. Moreb recently founded a new framework and methodology specialized in software engineering for machine learning in health informatics named SEMLHI which investigates the interaction between software engineering and machine learning within the context of health systems. The SEMLHI framework includes four modules (software, machine learning, machine learning algorithms, and health informatics data) that organize the tasks in the framework using a SEMLHI methodology, thereby enabling researchers and developers to analyze health informatics software from an engineering perspective and providing developers with a new road map for designing health applications with system functions and software implementations.

作者簡介(中文翻譯)

穆罕默德·莫雷布（Mohammed Moreb），電機與計算機工程博士。專長於網路犯罪與數位證據分析，特別專注於資訊與網路安全，擁有強大的出版紀錄，並在系統開發與數據中心管理方面擁有超過十年的實務經驗，負責配置、安裝及管理與所有安全配置相關的企業系統。他透過國際證照如CCNA、MCAD、MCSE來提升自己的學術背景；在學術上，他教授研究生課程，如資訊與網路安全課程、行動取證課程、高級研究方法、計算機網路分析與設計，以及商業領導者的人工智慧策略。

莫雷布博士最近創立了一個專注於健康資訊學中機器學習的軟體工程新框架與方法論，名為SEMLHI，該框架探討了在健康系統背景下軟體工程與機器學習之間的互動。SEMLHI框架包括四個模組（軟體、機器學習、機器學習演算法和健康資訊數據），這些模組使用SEMLHI方法論來組織框架中的任務，從而使研究人員和開發者能夠從工程的角度分析健康資訊軟體，並為開發者提供設計具有系統功能和軟體實現的健康應用的新路徑。

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