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IJNSEC
2007
125views more  IJNSEC 2007»
13 years 5 months ago
An Observation-Centric Analysis on the Modeling of Anomaly-based Intrusion Detection
It is generally agreed that two key points always attract special concerns during the modelling of anomaly-based intrusion detection. One is the techniques about discerning two cl...
Zonghua Zhang, Hong Shen, Yingpeng Sang
ACSAC
2004
IEEE
13 years 9 months ago
RACOON: Rapidly Generating User Command Data For Anomaly Detection From Customizable Templates
One of the biggest obstacles faced by user command based anomaly detection techniques is the paucity of data. Gathering command data is a slow process often spanning months or yea...
Ramkumar Chinchani, Aarthie Muthukrishnan, Madhusu...
GECCO
2008
Springer
206views Optimization» more  GECCO 2008»
13 years 6 months ago
Improving accuracy of immune-inspired malware detectors by using intelligent features
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
M. Zubair Shafiq, Syed Ali Khayam, Muddassar Faroo...
INFOCOM
2005
IEEE
13 years 10 months ago
A study of analyzing network traffic as images in real-time
—This paper presents NetViewer, a network measurement approach that can simultaneously detect, identify and visualize attacks and anomalous traffic in real-time by passively moni...
Seong Soo Kim, A. L. Narasimha Reddy
VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 5 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...