Book Details

Digital Forensics is the acquisition, analysis and preservation of data contained in electronic media whose information can be used as evidence in the court of law. This book offers a complete and integrative introduction to digital Forensics, types of Computer Forensics, role of computer forensics in law enforcement and case studies on Forensic tools like Sleuth Kit and Magnet Axiom. The objective of this book is to investigate cyber-attacks and identifying the offenders in cyber-crime cases. Various Challenges and case studies are addressed through twelve chapters in this book. First chapter provides introduction to cybercrime forensic and few case studies to analyse the significance of Forensic in investigating the cybercrimes. Second chapter discusses the various types of Computer Forensics and various infection vectors attacking the applications, systems and services. Third chapter details the memory forensics, techniques and tools for memory forensics. Few real-world examples and case studies with regard to memory forensics are detailed. Fourth chapter discusses the email forensics, various threats to email security and how identity theft happens in email. Various email forensic tools are also detailed along with their advantages and disadvantages. Fifth chapter details the assessment of data leakage and mobile malware analysis. The various steps of data leakage, data masking, mobile malware steps, types of mobile malware and techniques for mobile malware analysis are detailed. Few chapters in the book details about application of Digital Forensics using Artificial Intelligence (AI) which is the state-of-the-art in cyber security. Sixth chapter details the ensemble learner machine learning algorithm for Android Forensic. Data collection, feature extraction and model results are detailed in this chapter. Seventh chapter discusses the explainable AI frameworks in Android Analysis. Various XAI models for Android Malware predictions are detailed. The methodology and future advancement in Android analysis is also detailed. Eighth chapter deals with trends in information security regulation. The GDPR and its requirements along with challenges and case study is detailed. Ninth chapter deals with leveraging deep learning for optimizing e-evidence. Various deep learning strategies are discussed along with a real time application. Tenth chapter deals with biometric forensic tool for criminal investigation. The significance of Open-Source Intelligence and criminal investigation using Maltego is detailed. Various challenges and case studies are also discussed. A case study on Automated Fingerprint Identification System (AFIS) Is detailed. In addition, how AFIS are transforming criminal investigations is detailed. Chapter eleven discusses the forensic tool sleuth kit and redline in detail. A comprehensive study of these tools for memory, network and mobile device for is detailed. The various types of memory artifacts used for analysis and case studies are specified. The final chapter deals with the case study on forensic tool named Magnet Axiom. A comprehensive study of the features and techniques of magnet axiom is discussed. Comparison of Magnet Axiom with Cellebrite, Velociraptor and Wireshark. Various case studies such as forensic analysis on whatsapp desktop on Mac and Windows are discussed. Two more case studies are discussed on Firefox browser and Instant Messaging. We believe that this book provides a comprehensive coverage of the topic, resources for a deeper understanding, pointers for future research. Hence it would serve students, researchers, industry practitioners as a valuable reference work in the domain of Cyber Forensics.