Machine Learning-Driven Algorithms for Network Anomaly Detection

Md. Sirajul Islam; Mohammad Abdur Rouf; A. H. M. Shahariar Parvez; Prajoy Podder

doi:10.1007/978-981-16-6723-7_37

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Machine Learning-Driven Algorithms for Network Anomaly Detection

Md. Sirajul Islam Mohammad Abdur Rouf A. H. M. Shahariar Parvez Prajoy Podder

Year: 2022 Lecture notes in networks and systems Pages: 493-507 Publisher: Springer International Publishing

DOI: 10.1007/978-981-16-6723-7_37

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Keywords:

Intrusion detection system Computer science Hacker Machine learning Naive Bayes classifier Network security Intrusion prevention system Artificial intelligence Anomaly-based intrusion detection system Cloud computing The Internet Computer security Host-based intrusion detection system Data mining Support vector machine World Wide Web Operating system

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Topics

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Machine Learning-Driven Algorithms for Network Anomaly Detection

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