OCPAD: One class Naive Bayes classifier for payload based anomaly detection

Mayank Swarnkar; Neminath Hubballi

doi:10.1016/j.eswa.2016.07.036

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JOURNAL ARTICLE

OCPAD: One class Naive Bayes classifier for payload based anomaly detection

Mayank Swarnkar Neminath Hubballi

Year: 2016 Journal: Expert Systems with Applications Vol: 64 Pages: 330-339 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2016.07.036

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Keywords:

Network packet Computer science Naive Bayes classifier Anomaly detection False positive paradox Payload (computing) Classifier (UML) False positive rate Artificial intelligence Pattern recognition (psychology) Data mining Computer network Support vector machine

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Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Internet Traffic Analysis and Secure E-voting

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

OCPAD: One class Naive Bayes classifier for payload based anomaly detection

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