IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Memory-Based Antiforensic Tools and Techniques

Memory-Based Antiforensic Tools and Techniques
View Sample PDF
Author(s): Hamid Jahankhani (University of East London, UK)and Elidon Beqiri (University of East London, UK)
Copyright: 2008
Volume: 2
Issue: 2
Pages: 13
Source title: International Journal of Information Security and Privacy (IJISP)
Editor(s)-in-Chief: Yassine Maleh (Sultan Moulay Slimane University, Morocco)and Ahmed A. Abd El-Latif (Menoufia University, Egypt)
DOI: 10.4018/jisp.2008040101

Purchase

View Memory-Based Antiforensic Tools and Techniques on the publisher's website for pricing and purchasing information.

Abstract

Computer forensics is the discipline that deals with the acquisition, investigation, preservation, and presentation of digital evidence in the court of law. Whereas antiforensics is the terminology used to describe malicious activities deployed to delete, alter, or hide digital evidence with the main objective of manipulating, destroying, and preventing the creation of evidence. Various antiforensic methodologies and tools can be used to interfere with digital evidence and computer forensic tools. However, memory-based antiforensic techniques are of particular interest because of their effectiveness, advanced manipulation of digital evidence, and attack on computer forensic tools. These techniques are mainly performed in volatile memory using advanced data alteration and hiding techniques. For these reasons memory-based antiforensic techniques are considered to be unbeatable. This article aims to present some of the current antiforensic approaches and in particular reports on memory-based antiforensic tools and techniques.

Related Content

Dongyan Zhang, Lili Zhang, Zhiyong Zhang, Zhongya Zhang. © 2024. 19 pages.
Zhiqiang Wu. © 2024. 15 pages.
Musa Ugbedeojo, Marion O. Adebiyi, Oluwasegun Julius Aroba, Ayodele Ariyo Adebiyi. © 2024. 27 pages.
. © 2024.
. © 2024.
Zhen Gu, Guoyin Zhang. © 2023. 15 pages.
Mallanagouda Biradar, Basavaraj Mathapathi. © 2023. 18 pages.
Body Bottom