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What is Distributed IDS for Big Data Security about?

This paper presents a distributed and parallel intrusion detection system (IDS) designed for big data environments, utilizing machine learning-based multi-agent systems. The proposed solution aims to address the limitations of traditional signature-based IDS by employing anomaly detection techniques that can identify both known and unknown attacks. The authors outline their methodology, which includes the integration of big data analysis and reinforcement learning to enhance the detection capabilities of th

Author

arjun100outof100

Language

EN