Neural Networks-Aided Insider Attack Detection for the Average Consensus Algorithm

Neural Networks-Aided Insider Attack Detection for the Average Consensus Algorithm

To support the big-data processing needs of large-scale deployments of smart devices, there is significant interest in moving from cloud-computing to multi-agent (fog-computing) models, given these algorithms scalability and self-healing properties with respect to nodes and link failures. However, t...

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Bibliographic Details
Main Authors: Gangqiang Li, Sissi Xiaoxiao Wu, Shengli Zhang, Qiang Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Gossip algorithm
average consensus
neural network (NN)
insider attack
detection and localization
Online Access:https://ieeexplore.ieee.org/document/9024060/

Internet

https://ieeexplore.ieee.org/document/9024060/

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