UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 7 Issue 11
November-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2011284


Registration ID:
303703

Page Number

1097-1102

Share This Article


Jetir RMS

Title

A LEAP TOWARDS DEEP LEARNING FOR INVESTIGATING TOR TRAFFIC

Abstract

TOR (The Onion Routing) is famous among the anonymous users over internet. Due to this anonymous presence of network activity it is very difficult for network surveillance .70-80% of illegal activities use multiple IP addresses which is provided in TOR .Now it’s very important to investigate our TOR network in order for providing cyber security. Now a model is proposed using deep learning and neural network for investigating TOR traffic by analyzing time based features

Key Words

Anonymity, Deep Learning, OR Traffic, Cyber Security

Cite This Article

"A LEAP TOWARDS DEEP LEARNING FOR INVESTIGATING TOR TRAFFIC", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.1097-1102, November-2020, Available :http://www.jetir.org/papers/JETIR2011284.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A LEAP TOWARDS DEEP LEARNING FOR INVESTIGATING TOR TRAFFIC", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp1097-1102, November-2020, Available at : http://www.jetir.org/papers/JETIR2011284.pdf

Publication Details

Published Paper ID: JETIR2011284
Registration ID: 303703
Published In: Volume 7 | Issue 11 | Year November-2020
DOI (Digital Object Identifier):
Page No: 1097-1102
Country: VIzAG, AP, INDIA .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003001

Print This Page

Current Call For Paper

Jetir RMS