DocumentCode :
58088
Title :
Automatic attack signature generation systems: A review
Author :
Kaur, Sukhpreet ; Singh, Monika
Author_Institution :
Thapar Univ. Patiala, Patiala, India
Volume :
11
Issue :
6
fYear :
2013
fDate :
Nov.-Dec. 2013
Firstpage :
54
Lastpage :
61
Abstract :
Signature-based intrusion detection systems provide solutions to counter the increasing number of attacks on network resources. But this is not helpful for novel attacks whose signatures aren´t available. Automated signature generation systems can work proactively to detect these attacks in real time and generate signatures of new attacks. This article analyzes the latest developments, including Honeycyber, Hancock, Arbor, Auto-Sign, Argos, Hamsa, F-Sign, and a hybrid honeyfarm-based defense system, comparing these systems on the basis of their ability to detect novel attacks, signature generation method, suitability for multiple instances of worms, type of signature generated, attacks and worms covered, false alarm rates, and relative strengths and weaknesses.
Keywords :
digital signatures; automated signature generation systems; automatic attack signature generation systems; network resources; signature based intrusion detection systems; Handwriting recognition; Intrusion detection; Signature generation; 0-day attack; intrusion detection system; signature generation;
fLanguage :
English
Journal_Title :
Security & Privacy, IEEE
Publisher :
ieee
ISSN :
1540-7993
Type :
jour
DOI :
10.1109/MSP.2013.51
Filename :
6515481
Link To Document :
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