SurveilNet: A Lightweight Anomaly Detection System for Cooperative IoT Surveillance Networks

Author:

Osifeko Martins O.ORCID,Hancke Gerhard P.ORCID,Abu-Mahfouz Adnan M.ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Engineering a multi-sensor surveillance system with secure alerting for next-generation threat detection and response;Results in Engineering;2024-06

2. Empirical Evaluation of Video Surveillance based Crime and Anomaly Detection System using Hybrid Deep Learning Strategy;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

3. Energy Efficient Priority-Based Hybrid MAC Protocol for IoT-Enabled WBAN Systems;IEEE Sensors Journal;2023-06-15

4. Machine Learning-Based Crowd behavior Analysis and Forecasting;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2023-06-01

5. Crowd Density Estimation using Imperfect Labels;2023 IEEE International Conference on Consumer Electronics (ICCE);2023-01-06

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