Cyber and Digital Forensic Investigations

Understanding the latest capabilities in the cyber threat landscape as well as the cyber forensic challenges and approaches is the best way users and organizations can prepare for potential negative events. Adopting an experiential learning approach, this book describes how cyber forensics researchers, educators and practitioners can keep pace with technological advances, and acquire the essential knowledge and skills, ranging from IoT forensics, malware analysis, and CCTV and cloud forensics to network forensics and financial investigations. Given the growing importance of incident response and cyber forensics in our digitalized society, this book will be of interest and relevance to researchers, educators and practitioners in the field, as well as students wanting to learn about cyber forensics.

Auteur

Nhien-An Le-Khac is a Lecturer at the School of Computer Science (CS), UCD. He is currently the Programme Director of MSc programme in Forensic Computing and Cybercrime Investigation (FCCI) - an international programme for the law enforcement officers specialising in cybercrime investigations. He is also the co-founder of UCD-GNECB Postgraduate Certificate in fraud and e-crime investigation. Since 2008, he is a Research Fellow in Citibank, Ireland (Citi). He obtained his PhD. in Computer Science in 2006 at the Institut National Polytechnique Grenoble (INPG), France. His research interest spans the area of Cybersecurity and Digital Forensics, Data Mining/Distributed Data Mining for Security, Fraud and Criminal Detection. Since 2013, he has collaborated on many research projects of which more than EUR1 million has been in his name as a principal/co-PI/funded investigator. He has published more than 150 scientific papers in peer-reviewed journal and conferences in related research fields and his recent edited book has been listed the Best New Digital Forensics Book according to BookAuthority. Kim-Kwang Raymond Choo received the Ph.D. in Information Security in 2006 from Queensland University of Technology, Australia. He currently holds the Cloud Technology Endowed Professorship at The University of Texas at San Antonio (UTSA). In 2015, he and his team won the Digital Forensics Research Challenge organized by Germany's University of Erlangen-Nuremberg. He is the recipient of the 2019 IEEE Technical Committee on Scalable Computing (TCSC) Award for Excellence in Scalable Computing (Middle Career Researcher), 2018 UTSA College of Business Col. Jean Piccione and Lt. Col. Philip Piccione Endowed Research Award for Tenured Faculty, Outstanding Associate Editor of 2018 for IEEE Access, British Computer Society's 2019 Wilkes Award Runner-up, 2019 EURASIP Journal on Wireless Communications and Networking (JWCN) Best Paper Award, Korea Information Processing Society's Journal of Information Processing Systems (JIPS) Survey Paper Award (Gold) 2019, IEEE Blockchain 2019 Outstanding Paper Award, Inscrypt 2019 Best Student Paper Award, IEEE TrustCom 2018 Best Paper Award, ESORICS 2015 Best Research Paper Award, 2014 Highly Commended Award by the Australia New Zealand Policing Advisory Agency, Fulbright Scholarship in 2009, 2008 Australia Day Achievement Medallion, and British Computer Society's Wilkes Award in 2008. He is also a Fellow of the Australian Computer Society, an IEEE Senior Member, and Co-Chair of IEEE Multimedia Communications Technical Committee's Digital Rights Management for Multimedia Interest Group.

Contenu

The increasing importance of digital forensics and investigations in law enforcement, government and commercial sectors.- Defending IoT devices from Malware.- Digital Forensic Investigation of Internet of Thing Devices: A Proposed Model and Case Studies.- Forensic Investigation of Ransomware Activities.- CCTV Forensics in the Big Data era: Challenges and Approaches.- Forensic Investigation of PayPal accounts.- Digital Forensic Approaches for Cloud Service Models: A Survey.- Long Term Evolution Network Security and Real-time Data Ex-traction.- Towards an automated process to categorise Tor's Hidden Services.