Digital forensics

About: Digital forensics is a research topic. Over the lifetime, 4270 publications have been published within this topic receiving 49676 citations. The topic is also known as: digital forensic science & Digital forensics.

Advances in Digital Forensics IV

Abstract: ADVANCES IN DIGITAL FORENSICS IV Edited by:IndrajitRayand Sujeet Shenoi Digital forensics deals with the acquisition, preservation, examination, analysis and presentation of electronic evidence. Networked computing, wireless communications and portable electronic devices have expanded the role of digital forensics beyond traditional computer crime investigations. Practically every crime now involves some aspect of digital evidence; digital forensics provides the techniques and tools to articulate this evidence. Digital forensics also has myriad intelligence applications. Furthermore, it has a vital role in information assurance -- investigations of security breaches yield valuable information that can be used to design more secure systems. Advances in Digital Forensics IV describes original research results and innovative applications in the emerging discipline of digital forensics. In addition, it highlights some of the major technical and legal issues related to digital evidence and electronic crime investigations. The areas of coverage include: - Themes and Issues - Evidence Recovery - Evidence Integrity - Evidence Management - Forensic Techniques - Network Forensics - Portable Electronic Device Forensics - Event Data Recorder Forensics - Novel Investigation Techniques - Forensic Tools This book is thefourth volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.9 on Digital Forensics, an international community of scientists, engineers and practitioners dedicated to advancing the state of the art of research and practice in digital forensics. The book contains a selection of twenty-eight edited papers from theFourth Annual IFIP WG 11.9 Conference on Digital Forensics, held at Kyoto University,Kyoto, Japanin the spring of 2008. Advances in Digital Forensics IV is an important resource for researchers, faculty members and graduate students, as well as for practitioners and individuals engaged in research and development efforts for the law enforcement and intelligence communities. Indrajit Rayis an Associate Professor of Computer Science at Colorado State University, Fort Collins, Colorado, USA. Sujeet Shenoi is the F.P. Walter Professor of Computer Science and a principal with the Center for Information Security at the University of Tulsa, Tulsa, Oklahoma, USA.

Big forensic data management in heterogeneous distributed systems: quick analysis of multimedia forensic data

Abstract: The growth in the data volume and number of evidential data from heterogeneous distributed systems in smart cities, such as cloud and fog computing systems and Internet-of-Things devices e.g. IP-based CCTVs, has led to increased collection, processing and analysis times, potentially resulting in vulnerable persons e.g. victims of terrorism incidents being at risk. A process of Digital Forensic Data Reduction of source multimedia and forensic images has provided a method to reduce the collection time and volume of data. In this paper, a methodology of Digital Forensic Quick Analysis is outlined, which describes a method to review Digital Forensic Data Reduction subsets to pinpoint relevant evidence and intelligence from heterogeneous distributed systems in a timely manner. Applying the proposed methodology to real-world data from an Australian police agency highlighted the timeliness of the process, resulting in significant improvements in processing times in comparison with processing a full forensic image. The Quick Analysis methodology, combined with Digital Forensic Data Reduction, has potential to locate evidence and intelligence in a timely manner. Copyright © 2016 John Wiley & Sons, Ltd.

A Methodology for Privacy-Aware IoT-Forensics

Abstract: The Internet of Things (IoT) brings new challenges to digital forensics. Given the number and heterogeneity of devices in such scenarios, it bring extremely difficult to carry out investigations without the cooperation of individuals. Even if they are not directly involved in the offense, their devices can yield digital evidence that might provide useful clarification in an investigation. However, when providing such evidence they may leak sensitive personal information. This paper proposes PRoFIT; a new model for IoT-forensics that takes privacy into consideration by incorporating the requirements of ISO/IEC 29100:2011 throughout the investigation life cycle. PRoFIT is intended to lay the groundwork for the voluntary cooperation of individuals in cyber crime investigations.

Key Terms for Service Level Agreements to Support Cloud Forensics

Abstract: As cloud adoption grows, the importance of preparing for forensic investigations in cloud environments also grows. A recent survey of digital forensic professionals identified that missing terms and conditions regarding forensic activities in service level agreements between cloud providers and cloud consumers is a significant challenge for cloud forensics. This paper addresses the challenge by specifying standard terms for service level agreements that support cloud forensics.