Detection of DDoS Attack Using Ensemble Machine Learning Techniques

M. Beulah; B. Pitchai Manickam

doi:10.1007/978-981-16-5301-8_62

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Detection of DDoS Attack Using Ensemble Machine Learning Techniques

M. Beulah B. Pitchai Manickam

Year: 2021 Advances in intelligent systems and computing Pages: 889-903 Publisher: Springer Nature

DOI: 10.1007/978-981-16-5301-8_62

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Keywords:

Denial-of-service attack Computer science False positive paradox Support vector machine Ensemble learning Machine learning False positive rate Artificial intelligence Classifier (UML) Majority rule The Internet Computer security Data mining World Wide Web

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1.15

FWCI (Field Weighted Citation Impact)

Refs

0.78

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Is in top 10%

Citation History

Topics

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Internet Traffic Analysis and Secure E-voting

Physical Sciences → Computer Science → Artificial Intelligence

Detection of DDoS Attack Using Ensemble Machine Learning Techniques

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Citation History

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