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Special auxiliary subdivision for computing
A Multi-step Attack Recognition and Prediction Method Via Mining Attacks Conversion Frequencies
Journal: International Journal of Wireless and Microwave Technologies(IJWMT) @ijwmt
Article in issue: 2 Vol.2, 2012.
Free access
Massive security alerts produced by safety equipments make it necessary to recognize and predict multi-step attacks. In this paper, a novel method of recognizing and predicting multi-step attacks is proposed. It calculates attack conversion frequencies, and then mines the multi-step attack sequences. On this basis, it matches the new alert sequences dynamically, recognizes the multi-step attacks and predicts the next attack step. The result of experiment shows that the proposed method is effective and accurate.
Network security
\ multi-step attack
\ alert correlation
\ attack conversion frequencies
Similar articles in the section Special auxiliary subdivision for computing
Short address: https://sciup.org/15012795
IDS: 15012795
References A Multi-step Attack Recognition and Prediction Method Via Mining Attacks Conversion Frequencies
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