Overview

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.

Full Product Details

Author:   Mohammed Moreb
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.831kg
ISBN:  

9781484280256

ISBN 10:   1484280253
Pages:   515
Publication Date:   16 April 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1 Introduction to Mobile Forensic Analysis   The Importance of Mobile Forensic Analysis Understanding mobile forensics Challenges in mobile forensics Tools used  for mobile forensics The mobile phone evidence extraction process Examination and analysis Rules of evidence Practical Mobile Forensic Summary Chapter 2 Introduction to IOS Forensics   IOS Boot Process IOS Architecture  IOS Security  Understanding Jailbreaking Data Acquisition from iOS Devices Data Acquisition from iOS Backups iOS Data Analysis and Recovery Mobile Forensics Investigation Challenges on iOS  iOS Forensic Tools Summary   Chapter 3 Introduction to Android Forensics   Understanding Android Application framework Android runtime Linux Kernel Android Forensic Setup and Pre-Data Extraction Techniques Android Data Extraction Techniques Android Data Analysis and Recovery Android App rooting process and techniques  Summary Chapter 4 Forensic Investigations of Popular Applications on Android and iOS platforms   Introduction Case & Investigator Details Investigations of Facebook Messenger and WhatsApp applications Details of the device seized for examination Results and Analysis Summary Chapter 5 Forensic Analysis of Telegram Messenger on iOS and Android Smartphones Case Study   Introduction Literature Review Methodology and Experiment Setup Evidences Acquisition Evidences Processing and Analysis Results Summary Chapter 6 Detecting Private Data Leaks Over Mobile Applications Using Mobile Forensic Techniques   Introduction Legal Issues Regarding the Local Electronic Crimes Law & Mobile Forensics  Details of the reporting agency and tools used in the examination Description of steps taken during examination  Chain of custody documentation   Details of findings or issues identified Evidence recovered during the examination, ranging from chat messages  Images captured during the examination Examination and analysis information Summary   Chapter 7  Impact of iPhone Jailbreaking on User Data Integrity in Mobile  Forensics   Introduction   Mobile Forensics  User Data Integrity in Mobile  Forensics Jailbreaking’s affect on iOS  Data acquisition  Logical acquisition Filesystem acquisition Experiment Details and Tools  Results  Data Extraction Extracted data before jailbreak  Extracted data after jailbreak  Summary  Chapter 8 The Impact of Cryptocurrency Mining on Mobile Devices   Introduction   Cryptocurrency mining Measurement and work mechanism Tools, programs, and applications used in cryptocurrency mining Experiment and analogy by iPhone 6s Experiment and analogy by LG g5 Results and Analysis Summary Chapter 9 Mobile Forensic Investigation for WhatsApp   Introduction WhatsApp Architecture WhatsApp Experiment Tools used in the seizure process Analysis Stage Examination on a backup taken by iTunes Examination on a backup taken from the connected device Forensic Tools comparison Summary Chapter 10 Cloud Computing Forensics: Dropbox Case Study   Introduction Cloud Computing Forensics Cloud forensic challenges Dropbox cloud storage Implementation Details Seating Tools and Environment Magnet axiom forensics program   MobileEdit express forensics tool FinalMobile forensics tool Results and Analysis Programs and tools Experiments Summary Chapter 11 Malware Forensics for Volatile and nonVolatile Memory in Mobile Devices   Introduction Mobile Malware Forensic Smartphone Volatile Memory Mobile Devices Case Details Development and Experiment Logical acquisition using Axiom process Physical acquisition output in finalmobile forensics Investigating from the non-volatile memory Evaluate Forensic tools usage in this case Summary Chapter 12 Mobile Forensic for KeyLogger Artifact   Introduction Mobile KeyLogger Methodology and case study setup Mobile Malware and Spyware Evidence recovered during the examination Evidence recovered using Magnet ACQUIRE Examination and analysis KeyLogger result Summary     Chapter 13 Digital Evidence Identification Methods for Mobile Devices with Facebook Messenger   Introduction Mobile messenger apps Mobile operating system architecture Experiment Tools Evidence and scene security Evidence isolation Data Acquisition FBM Data analysis using Magnet AXIOM Examine FBM Data analysis using Belkasoft FBM Data analysis using DB Browser for SQLite Recover deleted evidence from SQLite Property Lists Reporting Summary

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Author Information

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.

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