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