Implementation of Port Density Based Dynamic Clustering Algorithm on Honeynet Data

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Provided by: Institute of Research and Journals (IRAJ)
Topic: Big Data
Format: PDF
Intrusion detection system which are normally deployed in an organization to protect the network are working based on pre-defined rule-sets known as signatures, thereby they will not be able to detect unknown attacks. With the consideration of unknown attack detection, intrusion detection is becoming not useful to detect these kinds of attacks spreading in the network and intrusion detection based attack detection is becoming a very challenging process. Honeynets are enabling the authors in providing the deep understanding of attacks patterns which are bypassed by the network intrusion detection system.
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