DocumentCode
568480
Title
CONDOR: A Hybrid IDS to Offer Improved Intrusion Detection
Author
Day, David J. ; Flores, Denys A. ; Lallie, Harjinder Singh
Author_Institution
Sheffield Hallam Univ., Sheffield, UK
fYear
2012
fDate
25-27 June 2012
Firstpage
931
Lastpage
936
Abstract
Intrusion Detection Systems are an accepted and very useful option to monitor, and detect malicious activities. However, Intrusion Detection Systems have inherent limitations which lead to false positives and false negatives; we propose that combining signature and anomaly based IDSs should be examined. This paper contrasts signature and anomaly-based IDSs, and critiques some proposals about hybrid IDSs with signature and heuristic capabilities, before considering some of their contributions in order to include them as main features of a new hybrid IDS named CONDOR (COmbined Network intrusion Detection ORientate), which is designed to offer superior pattern analysis and anomaly detection by reducing false positive rates and administrator intervention.
Keywords
computer network security; digital signatures; CONDOR; anomaly based IDS; anomaly detection; combined network intrusion detection orientate; heuristic capability; hybrid IDS; intrusion detection systems; malicious activities detection; malicious activities monitoring; pattern analysis; signature based IDS; signature capability; Databases; Engines; Intrusion detection; Proposals; Servers; Training; Anomaly; IDS; NIDS; false negative; false positive; hybrid; intrusion detection; signature;
fLanguage
English
Publisher
ieee
Conference_Titel
Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on
Conference_Location
Liverpool
Print_ISBN
978-1-4673-2172-3
Type
conf
DOI
10.1109/TrustCom.2012.110
Filename
6296072
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