Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
The rectified Gaussian distribution
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Mining in a data-flow environment: experience in network intrusion detection
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Intrusion detection using autonomous agents
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on recent advances in intrusion detection systems
Identifying enterprise network vulnerabilities
International Journal of Network Management
Unsupervised learning techniques for an intrusion detection system
Proceedings of the 2004 ACM symposium on Applied computing
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit
Data Mining and Knowledge Discovery
The Spinning Cube of Potential Doom
Communications of the ACM - Wireless sensor networks
Feature selection of intrusion detection data using a hybrid genetic algorithm/KNN approach
Design and application of hybrid intelligent systems
Operational experiences with high-volume network intrusion detection
Proceedings of the 11th ACM conference on Computer and communications security
Hybrid multi-agent architecture as a real-time problem-solving model
Expert Systems with Applications: An International Journal
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
Innovations in Hybrid Intelligent Systems (Advances in Soft Computing)
Innovations in Hybrid Intelligent Systems (Advances in Soft Computing)
Capacity verification for high speed network intrusion detection systems
RAID'02 Proceedings of the 5th international conference on Recent advances in intrusion detection
Detecting compounded anomalous SNMP situations using cooperative unsupervised pattern recognition
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Mobile agents for network intrusion resistance
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
Learning intrusion detection: supervised or unsupervised?
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Hierarchical Kohonenen net for anomaly detection in network security
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
RT-MOVICAB-IDS: Addressing real-time intrusion detection
Future Generation Computer Systems
| Hi-index | 0.00 |
An increasing effort has being devoted to researching on the field of Intrusion Detection Systems (IDS's). A wide variety of artificial intelligence techniques and paradigms have been applied to this challenging task in order to identify anomalous situations taking place within a computer network. Among these techniques is the neural network approach whose models (or most of them) have some difficulties in processing traffic data "on the fly". The present work addresses this weakness, emphasizing the importance of an appropriate segmentation of raw traffic data for a successful network intrusion detection relying on unsupervised neural models. In this paper, the presented neural model is embedded in a hybrid artificial intelligence IDS which integrates the case based reasoning and multiagent paradigms.