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An Effective Malware Detection Algorithm for WSN. Shamsuddin Ali Akbari A J1 ... In this work, an effective malfunction node detection algorithm is used with ...
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Jan 26, 2024 · The experimental results show that the proposed algorithm can effectively improve the detection rate, and the prediction of network residual ...
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Jul 20, 2022 · The experimental results show that the proposed algorithm can effectively improve the detection rate, and the prediction of network residual ...
Attackers in the node affects network performance by dropping and vanishing the packets . In this work, an effective malfunction node detection algorithm is ...
Aiming at the problems of inaccurate malware detection in traditional wireless sensor network detection algorithms, resulting in inaccurate prediction of ...
Jan 13, 2024 · This paper proposes an intelligent hybrid model that leverages machine learning and artificial intelligence to enhance the security of ...
The paper presents the proposed DBSCAN algorithm and demonstrates its effectiveness in detecting anomalies in WSNs using simulations.
Mar 15, 2022 · In another study [34], the DT, Naive Bayes, and random forest machine learning algorithms were used to detect Android attacks. The information ...
An energy-efficient wireless sensor network construction algorithm for air quality condition detection system · Improved DV-Hop based on Squirrel search ...
Firefly algorithm based WSN-IoT security enhancement with machine ...
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Jan 2, 2024 · This framework serves as a solution for anomaly-based intrusion detection. By actively and dynamically profiling and monitoring all ...
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