Titlebook: Network Traffic Anomaly Detection and Prevention; Concepts, Techniques Monowar H. Bhuyan,Dhruba K. Bhattacharyya,Jugal K. Textbook 2017 Spr

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书目名称Network Traffic Anomaly Detection and Prevention影响因子(影响力)




书目名称Network Traffic Anomaly Detection and Prevention影响因子(影响力)学科排名




书目名称Network Traffic Anomaly Detection and Prevention网络公开度




书目名称Network Traffic Anomaly Detection and Prevention网络公开度学科排名




书目名称Network Traffic Anomaly Detection and Prevention被引频次




书目名称Network Traffic Anomaly Detection and Prevention被引频次学科排名




书目名称Network Traffic Anomaly Detection and Prevention年度引用




书目名称Network Traffic Anomaly Detection and Prevention年度引用学科排名




书目名称Network Traffic Anomaly Detection and Prevention读者反馈




书目名称Network Traffic Anomaly Detection and Prevention读者反馈学科排名

伪善

A Systematic Hands-On Approach to Generate Real-Life Intrusion Datasets,a systematic hands-on approach to generate real-life intrusion dataset. It is organized in three major sections. Section 3.1 provides the basic concepts. Section 3.2 introduces several benchmark and real-life datasets. Finally, Sect. 3.3 provides a systematic approach toward generation of an unbiase

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Network Traffic Anomaly Detection Techniques and Systems, chapter starts with a discussion of the basic properties of network-wide traffic with an example. This chapter is organized into six major sections to describe different network anomaly detection techniques and systems. They are statistical techniques and systems, classification-based techniques an

Calculus

Alert Management and Anomaly Prevention Techniques, messages (i.e., alerts) that indicate attack or suspicious or legitimate events. Due to widespread deployment of IDSs, they may generate an overwhelming number of alerts with true alerts mixed with false alerts. So, management of such alerts is indeed necessary to get to the origin of an attack, so

受伤

Injunction

shrill

Open Issues, Challenges, and Conclusion,detecting such threats. Any antivirusor defense software can only detect the threats if and only if the defender software understands how attackers get entry into a system and what tools they use to compromise a network or system. This chapter is focused on the open issuesand challengesfaced by theA

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