Digital evidence

About: Digital evidence is a research topic. Over the lifetime, 1621 publications have been published within this topic receiving 18476 citations.

The need to adopt agile methodology in the development of cyber forensics tools

Abstract: Cyber forensics is the process of seizure, acquisition and analysis of digital evidence. Development of cyber forensics tools is often challenging as more and more variations of digital devices are marketed rapidly and new cyber crime scenarios are reported frequently. If the team follows a traditional development method with a long planning phase, the product will be obsolete by the time it is released. So the product development teams should follow agile development methods that can ensure quick release and efficient change management. In this paper, we present the need to adopt agile methodology of project management in the development of Cyber Forensic Tools through a sample case study.

Digital Forensics Framework for Cloud Computing

Abstract: Recently, companies seek a way to overcome their financial crisis by reducing costs in the field of IT. In such a circumstance, cloud computing is rapidly emerging as an optimal solution to the crisis. Even in a digital forensic investigation, whether users of an investigated system have used a cloud service is a very important factor in selecting additional investigated subjects. When a user has used cloud services, such as Daum Cloud and Google Docs, it is possible to connect to the could service from a remote place by acquiring the user`s log-in information. In such a case, evidence data should be collected from the remote place for an efficient digital forensic investigation, and it is needed to conduct research on the collection and analysis of data from various kinds of cloud services. Thus, this study suggested a digital forensic framework considering cloud environments by investigating collection and analysis techniques for each cloud service.

An Ontology-Based Transformation Model for the Digital Forensics Domain

Abstract: The creation of an ontology makes it possible to form common information structures, to reuse knowledge, to make assumptions within a domain and to analyse every piece of knowledge. In this paper, we aim to create an ontology-based transformation model and a framework to develop an ontology-based transformation system in the digital forensics domain. We describe the architecture of the ontology-based transformation system and its components for assisting computer forensics experts in the appropriate selection of tools for digital evidence investigation. We consider the use of the attributes of Extensible Markup Language document transformation to map the computer forensics ontology and we use the representations in the National Institute of Standards and Technology’s “Computer Forensics Tool Catalog” for aligning one form with the other.DOI: http://dx.doi.org/10.5755/j01.eie.23.3.18337

Advanced Technologies in Forensic Odontology

Abstract: The latest techniques and methods of evidence collection and comparison methods from dental remains are beneficial to crime scene investigations. This chapter focuses on new technology in forensic odontology.

Information Retrieval From Internet Applications For Digital Forensic

Abstract: Advanced internet technologies providing services like e-mail, social networking, online banking, online shopping etc., have made day-to-day activities simple and convenient. Increasing dependency on the internet, convenience, and decreasing cost of electronic devices have resulted in frequent use of online services. However, increased indulgence over the internet has also accelerated the pace of digital crimes. The increase in number and complexity of digital crimes has caught the attention of forensic investigators. The Digital Investigators are faced with the challenge of gathering accurate digital evidence from as many sources as possible. In this paper, an attempt was made to recover digital evidence from a system's RAM in the form of information about the most recent browsing session of the user. Four different applications were chosen and the experiment was conducted across two browsers. It was found that crucial information about the target user such as, user name, passwords, etc., was recoverable.