Machine Learning-Based Distributed Denial of Services (DDoS) Attack Detection in Intelligent Information Systems Journal Article

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MLA

Alhalabi, Wadee, et al. "Machine Learning-Based Distributed Denial of Services (DDoS) Attack Detection in Intelligent Information Systems." IJSWIS vol.19, no.1 2023: pp.1-17. http://doi.org/10.4018/IJSWIS.327280

APA

Alhalabi, W., Gaurav, A., Arya, V., Zamzami, I. F., & Aboalela, R. A. (2023). Machine Learning-Based Distributed Denial of Services (DDoS) Attack Detection in Intelligent Information Systems. International Journal on Semantic Web and Information Systems (IJSWIS), 19(1), 1-17. http://doi.org/10.4018/IJSWIS.327280

Chicago

Alhalabi, Wadee, et al. "Machine Learning-Based Distributed Denial of Services (DDoS) Attack Detection in Intelligent Information Systems," International Journal on Semantic Web and Information Systems (IJSWIS) 19, no.1: 1-17. http://doi.org/10.4018/IJSWIS.327280

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Machine Learning-Based Distributed Denial of Services (DDoS) Attack Detection in Intelligent Information Systems

International Journal on Semantic Web and Information Systems (IJSWIS)

The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.

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