Digital Forensic and Machine Learning

View Sample PDF

Author(s): Poonkodi Mariappan (SRM University, India), Padhmavathi B. (SRM University, India)and Talluri Srinivasa Teja (SRM University, India)
Copyright: 2020
Pages: 17
Source title: Cyber Warfare and Terrorism: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-2466-4.ch035

Keywords: Cyber Warfare & Terrorism / Cyber Warfare and Cyber Terrorism / Information Science Reference / Security & Forensics

Purchase

View Digital Forensic and Machine Learning on the publisher's website for pricing and purchasing information.

Abstract

Digital Forensic as it sounds coerce human mind primarily with exploration of crime. However in the contemporary world, digital forensic has evolved as an essential source of tools from data acquisition to legal action. Basically three stages are involved in digital forensic namely acquisition, analysis and reporting. Digital Forensic Research Workshop (DFRW) defined digital forensic as “Use of Scientifically derived and proven method towards the identification, collection, analysis, interpretation, documentation and presentation of digital evidence derived from digital sources for the purpose of facilitating or furthering the reconstruction of event to be criminal”. The hard problem in digital forensic is such that the acquired data need to be cleaned and is required to be intelligible for reading by human. As a solution to this complexity problem a number of tools are present which may be repeated until relevant data is obtained.

The IRMA Community

Research IRM

Digital Forensic and Machine Learning

Purchase

Abstract

Related Content

IRMA Sponsors