Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/72723
Title: Characteristics based Detection of Internet Worms using Combined Machine Learning Methods and Worm Containment
Researcher: Divya S
Guide(s): Padmavathi G
Keywords: Multiclass Support Vector Machine
Delayed Dictionary Compression
C4.5, Blacklist
University: Avinashilingam Deemed University For Women
Completed Date: 09/02/2016
Abstract: With the rapid growth of Internet today many Internet based applications are evolving Internet is an open network accessed by all The major challenge in Internet is security. Many attacks newlineand vulnerabilities affect the network Among the various attacks Internet worms are vulnerable because they infect a large number of hosts within a short period of time and from that infected hosts newlinethey further initiate attacks like distributed denialofservice phishing and spyware through their propagation. Internet worms like CodeRed in 2001 Slammer in 2003 WittySasser in 2004 newlineStorm in 2007 Conficker in 2008 and StuxNet in 2010 to 2012 have created prominent damages to the hosts Within the period of five years 400000 computers got infected due to Blaster worm in 2003 newlineConficker worm damaged approximately 13 million IP addresses This number may increase year by year To overcome these damages and to defend against these attacks effective defense mechanism is necessary Therefore detection and containment of Internet worms are the need of the day
Pagination: 226
URI: http://hdl.handle.net/10603/72723
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
sdivya_chapter1.pdfAttached File350.3 kBAdobe PDFView/Open
sdivya_chapter2.pdf354.21 kBAdobe PDFView/Open
sdivya_chapter3.pdf748.18 kBAdobe PDFView/Open
sdivya_chapter4.pdf896.86 kBAdobe PDFView/Open
sdivya_chapter5.pdf728.31 kBAdobe PDFView/Open
sdivya_chapter6.pdf618.94 kBAdobe PDFView/Open
sdivya_chapter7.pdf109.23 kBAdobe PDFView/Open
sdivya_chapter8.pdf160.4 kBAdobe PDFView/Open
sdivya_chapter9.pdf317.55 kBAdobe PDFView/Open
sdivya_intro.pdf161.38 kBAdobe PDFView/Open
Show full item record


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: