A High-Efficiency Intrusion Prediction Technology Based on Markov Chain

Intrusion detection is only able to detect intrusions after the attacks occurred. In this paper, an intrusion prediction technology based on Markov chain is pointed out, a dynamic load-balancing algorithm is adopted in its predicting model, which can avoid packet loss and false negatives in high-performance network with handling heavy traffic loads in real-time. Experiments show that this technology have good performance on real-time prediction, false alarm rate is lower than 0.6% and false negative rate is tend to 1%, so this prediction technology can contain or stop the attack in real time, it can also enhance the efficiency of finding intrusion.