The week's pick
Reseach Article
Mining Frequent Sequences for Emails in Cyber Forensics Investigation
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 85 - Number 17 |
| Year of Publication: 2014 |
| Authors: Priyanka V. Kayarkar, Prashant Ricchariaya, Anand Motwani |
10.5120/14930-3332
|
Priyanka V. Kayarkar, Prashant Ricchariaya, Anand Motwani . Mining Frequent Sequences for Emails in Cyber Forensics Investigation. International Journal of Computer Applications. 85, 17 ( January 2014), 1-6. DOI=10.5120/14930-3332
Abstract
The goal of Digital forensics process is to preserve any evidence in its most original form while performing a structured investigation by collecting, identifying and validating the digital information for the investigation of particular digital crime. Today we are living in the information age, all the information which is transferred over the internet is through the digital devices. With the advent of world-wide web, advanced forms of digital crimes came into picture. Criminal uses the Digital devices to commit Digital crime, so for the investigation forensic Experts have to adopt practical frameworks and methods to recover data for analysis which can comprise as evidence. Investigation of Digital forensics adopts three essential processes: Data Generation, Data Preparation and Data warehousing. Data Mining has unlimited potential in the field of Digital Forensics. Computer forensics is an emerging discipline investigating the computer crime. In this paper we are introducing the cyber Forensics using Sequence Mining algorithm, by comparing it with association rule mining algorithm parameters
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