e-ISSN : 0975-3397
Print ISSN : 2229-5631
Home | About Us | Contact Us

ARTICLES IN PRESS

Articles in Press

ISSUES

Current Issue
Archives

CALL FOR PAPERS

CFP 2021

TOPICS

IJCSE Topics

EDITORIAL BOARD

Editors

Indexed in

oa
 

ABSTRACT

Title : Optimizing Live Digital Evidence Mining Using Structural Subroutines of Apriori Algorithm
Authors : Akshay Zadgaonkar, Ms. Vijaya Balpande
Keywords : Evidence Mining;Live Forensics;Aprori;
Issue Date : April 2011.
Abstract :
The Scope and Complexity of the Internet has grown exponentially. This growth has made digital forensic investigation a very challenging task. Even the modest intra-organizational networks have sufficient network traffic to pose a problem for digital crime investigators to police and collect evidences. Another problem in Network based Crime Investigation is that Offline Mining Techniques do not yield pervasive evidence. At the same time due to voluminous traffic, live evidence mining becomes a challenge. This paper presents a technique to optimize the live evidence mining by using the principles of apriori algorithm to trigger the evidence collection mechanism at right and opportune moment. The crux of this technique is answering “When & What Information” to Collect about a subject of investigation or Data.
Page(s) : 1399-1405
ISSN : 0975–3397
Source : Vol. 3, Issue.04

All Rights Reserved © 2009-2024 Engg Journals Publications
Page copy protected against web site content infringement by CopyscapeCreative Commons License