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» Intrusion Detection: Systems and Models
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ICANN
2005
Springer
14 years 3 months ago
Detecting Compounded Anomalous SNMP Situations Using Cooperative Unsupervised Pattern Recognition
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
Emilio Corchado, Álvaro Herrero, José...
ACSAC
2003
IEEE
14 years 3 months ago
Experimenting with a Policy-Based HIDS Based on an Information Flow Control Model
In [1], we proposed a model for policy-based intrusion detection, based on information flow control. In the present paper, we show its applicability and effectiveness on a stand...
Jacob Zimmermann, Ludovic Mé, Christophe Bi...
KDD
2002
ACM
144views Data Mining» more  KDD 2002»
14 years 10 months ago
ADMIT: anomaly-based data mining for intrusions
Security of computer systems is essential to their acceptance and utility. Computer security analysts use intrusion detection systems to assist them in maintaining computer system...
Karlton Sequeira, Mohammed Javeed Zaki
CRITIS
2007
13 years 11 months ago
A Malware Detector Placement Game for Intrusion Detection
We propose and investigate a game-theoretic approach to the malware filtering and detector placement problem which arises in network security. Our main objective is to develop opt...
Stephan Schmidt, Tansu Alpcan, Sahin Albayrak, Tam...
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 10 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh