IEEE Transactions on Software Engineering - Special issue on computer security and privacy
Architecture for an Artificial Immune System
Evolutionary Computation
A High-Efficiency Intrusion Prediction Technology Based on Markov Chain
CISW '07 Proceedings of the 2007 International Conference on Computational Intelligence and Security Workshops
Affine feature extraction: A generalization of the Fukunaga-Koontz transformation
Engineering Applications of Artificial Intelligence
Efficient deterministic method for detecting new U2R attacks
Computer Communications
Layered Approach Using Conditional Random Fields for Intrusion Detection
IEEE Transactions on Dependable and Secure Computing
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In order to find the attack in real time, an intrusion prediction method based on intelligent immune threshold matching algorithm was presented. Using a dynamic load-balancing algorithm, network data packet was distributed to a set of predictors by the balancer; it could avoid packet loss and false negatives in high-performance network with handling heavy traffic loads in real-time. In addition, adopting the dynamic threshold value, which was generated from variable network speed, the mature antibody could better match the antigen of the database, and consequently the accuracy of prediction was increased. Experiment shows this intrusion prediction method has relatively low false positive rate and false negative rate, so it effectively resolves the shortage of intrusion detection.