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Published in:

Volume 5 Issue 4
April-2018
eISSN: 2349-5162

Unique Identifier

JETIR1804305

Page Number

434-440

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Title

Comparative Analysis of Malicious Detection of Short URLs from Tweets

ISSN

2349-5162

Cite This Article

"Comparative Analysis of Malicious Detection of Short URLs from Tweets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 4, page no.434-440, April-2018, Available :http://www.jetir.org/papers/JETIR1804305.pdf

Abstract

Online Social Networks (OSNs) have become fundamental parts of our online lives, and their popularity is increasing at a surprising rate every day. Growing popularity of Twitter has attracted the attention of attackers who attempt to manipulate the features provided by Twitter to gain some advantage, such as driving Twitter users to other websites that they post as short URLs (Uniform Resource Locators) in their tweets. Even short URLs are also used to avoid sharing overly long URLs and save limited text space in tweets. Significant numbers of URLs shared in the OSNs are shortened URLs. Despite of its potential benefits from genuine usage, attackers use shortened URLs to hide the malicious URLs, which direct users to malicious pages. Although, OSN service providers and URL shortening services utilize certain detection mechanisms to prevent malicious URLs from being shortened, research has found that they fail to do so effectively. In this paper, we developed mechanism to develop a machine learning classifier which detect malicious short URLs. And comparative analysis of detection rate with various classification algorithm, and but also with online detection on Virus Total.

Key Words

Online Social Networks, twitter, short URLs, malicious URLs, machine Learning, classification

Cite This Article

"Comparative Analysis of Malicious Detection of Short URLs from Tweets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp434-440, April-2018, Available at : http://www.jetir.org/papers/JETIR1804305.pdf

Publication Details

Published Paper ID: JETIR1804305
Registration ID: 181496
Published In: Volume 5 | Issue 4 | Year April-2018
DOI (Digital Object Identifier):
Page No: 434-440
ISSN Number: 2349-5162

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Cite This Article

"Comparative Analysis of Malicious Detection of Short URLs from Tweets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp434-440, April-2018, Available at : http://www.jetir.org/papers/JETIR1804305.pdf




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