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
Link To Document :
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