International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Darknet Forensics, Authors : Dr. Digvijaysinh Rathod, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 6, Issue 4, July - August 2017

Title:
Darknet Forensics
Author Name:
Dr. Digvijaysinh Rathod
Abstract:
Abstract Deep web content cannot be indexed by search engine such as Google, Yahoo and Bing and darknet is lies within the deep web. Dark web has been intentionally hidden and it is not accessible through standard browser. Deep web can be accessed by anyone who has The Onion Router (TOR) browser. TOR is a virtual and encrypted tunnel which allows people to hide their identity and network traffic, and allow them to use internet anonymously. Dark web is virtually online market for anything, including but not limited to drugs, weapons, credit card data, forged documents, hire services for murder, narcotics and indecent pornography etc,. Because of these reasons, it is difficult for law enforcement agencies or digital forensic professionals to pinpoint the origin of traffic, location or ownership of any computer or person on the dark net. There has been lot of buzz around Bitcoin, TOR network and darknet, because most of the darknet sites carried out transactions through anonymous digital currency, pear to peer, distributed and Bitcoin which is based on cryptography principal. In this research paper, I proposed darknet forensics techniques, which is a combination of TOR browser and Bitcoin wallet forensics. I am also proposed and discussed different technique to retrieve evidences from TOR browser and Bitcoin wallet, which helps digital forensics professional to perform darknet forensics. Keywords: Deep web, Darknet, Bitcoin, TOR, Onion sites, RAM forensics, Bitcoin wallet
Cite this article:
Dr. Digvijaysinh Rathod , " Darknet Forensics " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 6, Issue 4, July - August 2017 , pp. 077-079 , ISSN 2278-6856.
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