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CECN-DNN: A Cloud-Edge Collaborative Inference Approach to Intrusion Detection | Synapse
March 3, 2026
CECN-DNN: A Cloud-Edge Collaborative Inference Approach to Intrusion Detection
JZ
Jieying Zhou
State Grid Corporation of China (China)
XZ
Xiao Zhang
Beijing Tongren Hospital
XZ
Xuelei Zhan
State Grid Corporation of China (China)
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Key Points
Effective intrusion detection is achieved through a cloud-edge collaborative approach, enhancing response times in cybersecurity.
The proposed method employs deep neural networks to analyze and mitigate security threats in real-time.
A collaborative inference process reduces latency and improves detection accuracy, adapting to various cyber environments.
Supports the need for advanced solutions in cybersecurity, as traditional methods may not handle evolving threats adequately.
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Cite This Study
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Zhou et al. (Sun,) studied this question.
synapsesocial.com/papers/69a761b2c6e9836116a2fbdc
https://doi.org/https://doi.org/10.1016/j.comnet.2026.112127