Identifying Malicious Web Links and Their Attack Types in Social Networks

Authors(3) :-R. Hamsa Veni, A.Hariprasad Reddy, C.Kesavulu

Malicious URLs are wide wont to mount numerous cyber attacks together with spamming, phishing and malware. Detection of malicious URLs and identification of threat varieties area unit important to thwart these attacks. Knowing the type of a threat permits estimation of severity of the attack and helps adopt a good step. Existing strategies usually notice malicious URLs of one attack kind. During this paper, we have a tendency to propose methodology using machine learning to notice malicious URLs of all the popular attack varieties and establish the character of attack a malicious address tries to launch. Our method uses a range of discriminative options together with matter properties, link structures, webpage contents, DNS information, and network traffic. Several of those options are novel and extremely effective.

Authors and Affiliations

R. Hamsa Veni
Assistant Professor, Department of MCA, Sri Venkateswara College of Engineering and Technology, Chittoor, AP, India,
A.Hariprasad Reddy
PG Scholar, Department of MCA, Sri Venkateswara College of Engineering and Technology, Chittoor, AP, India
C.Kesavulu
PG Scholar, Department of MCA, Sri Venkateswara College of Engineering and Technology, Chittoor, AP, India

Cyber Attacks, DNS Information, URL, Malicious Address.

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Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1060-1066
Manuscript Number : CSEIT1833525
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

R. Hamsa Veni, A.Hariprasad Reddy, C.Kesavulu, "Identifying Malicious Web Links and Their Attack Types in Social Networks", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.1060-1066, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833525

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