pacific
发表于 2025-3-25 04:19:08
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极小量
发表于 2025-3-25 10:30:58
Two Sophisticated Techniques to Improve HMM-Based Intrusion Detection Systemsors and combining multiple models to reduce the false-positive error rate. Experimental results with real audit data show that the proposed method requires significantly shorter time to train HMM without loss of detection rate and significantly reduces the false-positive error rate.
Servile
发表于 2025-3-25 13:41:57
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insolence
发表于 2025-3-25 16:23:58
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SUE
发表于 2025-3-25 20:59:37
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晚间
发表于 2025-3-26 00:16:51
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affect
发表于 2025-3-26 04:19:16
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maroon
发表于 2025-3-26 10:50:57
Statistical Causality Analysis of INFOSEC Alert Dataentication services, the problem of alert analysis has become very important. The large amount of alerts can overwhelm security administrators and prevent them from adequately understanding and analyzing the security state of the network, and initiating appropriate response in a timely fashion. Rece
诱使
发表于 2025-3-26 13:44:10
Correlation of Intrusion Symptoms: An Application of Chroniclesnguage and a recognition system that is used in other areas where dynamic systems are monitored. This formalism allows us to reduce the number of alarms shipped to the operator and enhances the quality of the diagnosis provided.
Agility
发表于 2025-3-26 17:26:02
Modeling Computer Attacks: An Ontology for Intrusion Detectionecognition, reporting and correlation languages. We have produced an ontology specifying a model of computer attack using the DARPA Agent Markup Language+Ontology Inference Layer, a descriptive logic language. The ontology’s logic is implemented using DAMLJessKB. We compare and contrast the IETF’s I