Practical Forensic Analysis of Artifacts on iOS and Android Devices: Investigating Complex Mobile Devices (Paperback)

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
  • 定價: $1,770
  • 售價: 9.5 折 $1,682
  • 貴賓價: 9.0 折 $1,593
  • 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)

運用基礎概念和實用技能進行移動設備取證，以進行目前市場上最複雜的移動設備的刑事調查。本書使用現代工具和技術，向您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在刑事訴訟中有用的結果。

您將深入瞭解Android和iOS設備的移動証據過程的各個階段，包括取證、收集和分析數據，以及生成和傳播報告。通過涉及專門硬件和軟件的實際案例和實驗室，展示了數據取證（包括已刪除數據）和提取信息的分析的實際應用和性能。您還將深入瞭解計算機取證，重點放在移動設備和其他無法歸類為筆記本電腦、桌面電腦或服務器的設備上。

本書是您發展批判性思維、分析推理和技術寫作能力的途徑，以有效地在初級數字取證或網絡安全分析師角色中工作。

您將學到什麼：
- 使用符合法證標準的行業標準工具從移動設備中獲取和調查數據
- 瞭解刑事和企業調查中移動設備與桌面設備之間的關係
- 分析備份文件和證據的藝術品

本書適合對移動証據或開源解決方案的移動証據具有少量或基本經驗的取證人員。本書還對希望更深入瞭解移動內部結構的任何人都有用。

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)

Mohammed Moreb，電機與電腦工程博士。專精於網路犯罪和數位證據分析，尤其專注於資訊和網路安全，具有豐富的出版紀錄。在超過10年的資料中心系統開發和管理工作中，他建立了概念和實踐的能力，負責配置、安裝和管理與安全相關的企業系統。他通過CCNA、MCAD和MCSE等國際證書提升了自己的學術道路。在學術上，他教授研究生課程，包括資訊和網路安全課程、移動取證課程、高級研究方法、計算機網路分析與設計以及人工智慧策略。

Moreb博士最近創立了一個專門用於健康資訊學的機器學習軟體工程框架和方法論，名為SEMLHI。該框架研究軟體工程和機器學習在健康系統中的互動。SEMLHI框架包括四個模塊（軟體、機器學習、機器學習演算法和健康資訊數據），使用SEMLHI方法論組織框架中的任務，從工程角度分析健康資訊軟體，並為開發人員提供設計具有系統功能和軟體實現的健康應用程式的新路徑。

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