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» Host Based Intrusion Detection using Machine Learning
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HAIS
2010
Springer
14 years 12 days ago
CBRid4SQL: A CBR Intrusion Detector for SQL Injection Attacks
One of the most serious security threats to recently deployed databases has been the SQL Injection attack. This paper presents an agent specialised in the detection of SQL injectio...
Cristian Pinzón, Álvaro Herrero, Jua...
JSW
2007
138views more  JSW 2007»
13 years 7 months ago
Learning Problem and BCJR Decoding Algorithm in Anomaly-based Intrusion Detection Systems
— The anomaly-based intrusion detection systems examine current system activity do find deviations from normal system activity. The present paper proposes a method for normal act...
Veselina G. Jecheva, Evgeniya P. Nikolova
IJSN
2008
80views more  IJSN 2008»
13 years 7 months ago
Syntax vs. semantics: competing approaches to dynamic network intrusion detection
: Malicious network traffic, including widespread worm activity, is a growing threat to Internet-connected networks and hosts. In this paper, we consider two competing approaches t...
Walter J. Scheirer, Mooi Choo Chuah
ICEIS
2008
IEEE
14 years 2 months ago
Next-Generation Misuse and Anomaly Prevention System
Abstract. Network Intrusion Detection Systems (NIDS) aim at preventing network attacks and unauthorised remote use of computers. More accurately, depending on the kind of attack it...
Pablo Garcia Bringas, Yoseba K. Penya
IEEEIAS
2008
IEEE
14 years 2 months ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...