IEEE Transactions on Software Engineering - Special issue on computer security and privacy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intrusion detection with neural networks
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
A framework for constructing features and models for intrusion detection systems
ACM Transactions on Information and System Security (TISSEC)
A Theoretical Study on Six Classifier Fusion Strategies
IEEE Transactions on Pattern Analysis and Machine Intelligence
Practical Intrusion Detection Handbook
Practical Intrusion Detection Handbook
Proceedings of the Third International Workshop on Multiple Classifier Systems
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
A Fuzzy Data Mining Based Intrusion Detection Model
FTDCS '04 Proceedings of the 10th IEEE International Workshop on Future Trends of Distributed Computing Systems
Intrusion detection using an ensemble of intelligent paradigms
Journal of Network and Computer Applications - Special issue on computational intelligence on the internet
Modeling intrusion detection systems using linear genetic programming approach
IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
Modeling intrusion detection system using hybrid intelligent systems
Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
Classifier ensembles: Select real-world applications
Information Fusion
Best hybrid classifiers for intrusion detection
Journal of Computational Methods in Sciences and Engineering - Selected papers from the International Conference on Computer Science, Software Engineering, Information Technology, e-Business, and Applications, 2004
The feature selection and intrusion detection problems
ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
Hierarchical Kohonenen net for anomaly detection in network security
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Application of majority voting to pattern recognition: an analysis of its behavior and performance
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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With increasing connectivity between computers, the security of computer networks plays a strategic role in modern computer systems. In order to enforce high protection levels against threats, a number of software systems have been currently developed. Intrusion detection systems (IDS) have become an essential component at detecting intruders. In this paper, an ensemble approach to network intrusion detection based on the fusion of multiple classifiers is proposed. A computational machine is built to derive optimal parsimonious hybrid model of classifiers in intrusion detection based on the following classification methods, Naïve Bayes, Support Vector Machine, K-nearest neighbor, and Neural networks. The weighted voting fusion strategy for intrusion detection is assessed by experiments and its performances compared. The potentialities of classifiers fusion for the development of effective intrusion detection systems are evaluated and discussed. The experimental results indicate that hybrid approach effectively generates a more accurate intrusion detection model on detecting both normal usages and malicious activities. In this paper, we aim to build a robust classifier combination system given a classifier set.