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All Outputs (3)

Comparative Evaluation of Machine Learning and Signature-Based NIDS for Multi-Class and Binary Threat Detection (2025)
Presentation / Conference Contribution

Network Intrusion Detection Systems (NIDS) are essential in safeguarding networks from evolving cyber threats. Traditional signature-based NIDS, such as Snort, struggle with zero-day attacks and lack adaptability. This study presents a unified, empir... Read More about Comparative Evaluation of Machine Learning and Signature-Based NIDS for Multi-Class and Binary Threat Detection.

An energy efficient and resource preserving target tracking approach for wireless sensor networks (2014)
Presentation / Conference Contribution

Efficient object tracking in wireless sensor networks (WSNs) is of importance in many application scenarios such as military and surveillance, health monitoring, etc. In this paper, we propose a target tracking technique from two approaches, dynamic... Read More about An energy efficient and resource preserving target tracking approach for wireless sensor networks.