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Study Report of existing forensic tools and technologies to identify Darknet

Preeti S. Joshi1 , Dinesha H.A.2

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-10 , Page no. 797-800, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.797800

Online published on Oct 31, 2018

Copyright © Preeti S. Joshi, Dinesha H.A. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Preeti S. Joshi, Dinesha H.A., “Study Report of existing forensic tools and technologies to identify Darknet,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.797-800, 2018.

MLA Style Citation: Preeti S. Joshi, Dinesha H.A. "Study Report of existing forensic tools and technologies to identify Darknet." International Journal of Computer Sciences and Engineering 6.10 (2018): 797-800.

APA Style Citation: Preeti S. Joshi, Dinesha H.A., (2018). Study Report of existing forensic tools and technologies to identify Darknet. International Journal of Computer Sciences and Engineering, 6(10), 797-800.

BibTex Style Citation:
@article{Joshi_2018,
author = {Preeti S. Joshi, Dinesha H.A.},
title = {Study Report of existing forensic tools and technologies to identify Darknet},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {797-800},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3103},
doi = {https://doi.org/10.26438/ijcse/v6i10.797800}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.797800}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3103
TI - Study Report of existing forensic tools and technologies to identify Darknet
T2 - International Journal of Computer Sciences and Engineering
AU - Preeti S. Joshi, Dinesha H.A.
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 797-800
IS - 10
VL - 6
SN - 2347-2693
ER -

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Abstract

DarkNet is the portion of Internet that is intentionally kept hidden and is only accessible by special soft wares and non-standard communication protocols and ports. Accessing these portion is not illegal at all times, but these software make it possible to keep the user anonymous and preserve data privacy. Anonymous communication has gained popularity and is of much interest. Anonymity leads to compromising nonrepudiation and security goals. Apart from providing freedom of speech to user, anonymity also provides conducive environment to illegal activities and different kinds of cyber-attacks. Network surveillance and forensic investigation is required to reconstruct or collect evidence but becomes a challenge due to anonymity, encryption and newer ways of cyber-attack. Innovative methods and techniques are required for overcoming these challenges of DarkNet. Sniffing the network for information, traffic analysis, anomaly and intrusion detection are few techniques to find evidences. With a plethora of tools and techniques available for collecting, identifying, processing and analyzing data on the networks, we try to explore few tools for forensic investigation in the DarkNet.

Key-Words / Index Term

Darknet, Freenet, I2P, Tor, whonix

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