IJBTT

Survey on Malicious URL Hitches, Propagation Mechanisms and Analysis of Classification Algorithms

	International Journal of Engineering Trends and Technology (IJETT)
	© 2015 by IJETT Journal
	Volume-22 Number-4
	Year of Publication : 2015
	Authors : Samridhi Sharma, ShabnamParveen
	DOI :  10.14445/22315381/IJETT-V22P239

Citation 

Samridhi Sharma, ShabnamParveen"Survey on Malicious URL Hitches, Propagation Mechanisms and Analysis of Classification Algorithms", International Journal of Engineering Trends and Technology (IJETT), V22(4),183-187 April 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
MaliciousURLdetectionhas becomeincreasinglydifficult due tothe evolution ofphishingcampaignsand efforts toavoid weakeningblacklist. The existing stateof cybercrimehas allowedpiratesto hostcampaignswith smallerlifespan, which reduces the efficacy of theblacklist.Atthe same time, standardsupervised learning algorithmsare known togeneralizeinspecific patternsobserved in thetraining data,which makes thema better alternativeagainstpiracycampaigns. However, thehighly dynamic environmentof these campaignsrequiresmodelsupdatedfrequently, whichposes new challengesas mostcharacteristiclearning algorithmsaretoocomputationally exclusiveretraining. This paper surveys two contributions. Firstly it discusses the problems associated with Malicious URL and there propagation mechanism. Secondly, it provides method to detect and distinguish Malicious URL by analyzing them.For analysis Recall, Precision and F-measures matrices are used.

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Keywords
Attacks, Adware Classification, Malicious web page analysis, Malicious URLs, Machine Learning.