A Multi-step Attack Recognition and Prediction Method Via Mining Attacks Conversion Frequencies | Zendy

Dapeng Man | Zendy; Xuezhen LI | Zendy; Wu Yang | Zendy; Wei Wang | Zendy; Shichang Xuan | Zendy

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A Multi-step Attack Recognition and Prediction Method Via Mining Attacks Conversion Frequencies

Author(s) -

Dapeng Man,

Xuezhen LI,

Wu Yang,

Wei Wang,

Shichang Xuan

Publication year - 2012

Publication title -

international journal of wireless and microwave technologies

Language(s) - English

Resource type - Journals

eISSN - 2076-9539

pISSN - 2076-1449

DOI - 10.5815/ijwmt.2012.02.04

Subject(s) - computer science , basis (linear algebra) , data mining , computer security , pattern recognition (psychology) , artificial intelligence , mathematics , geometry

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 calculatesattack 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

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