作者: Nan Li , Chunhe Xia , Yi Yang , Haiquan Wang
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摘要: This paper presents a new algorithm for generation of attack signatures based on sequence alignment. The is composed two parts: local alignment algorithm-GASBSLA (Generation Attack Signatures Based Sequence Local Alignment) and multi-sequence algorithm-TGMSA (Tri-stage Gradual Multi-Sequence Alignment). With the inspiration used in Bioinformatics, GASBSLA replaces global constant weight penalty model by affine to improve generality signatures. TGMSA pruning policy make more insensitive noises In this paper, are described detail validated experiments.