Mitigating Against a Succession of Hidden Failure Accelerants Involved in an Insider Threat Sequential Topology Attack on a Smart Grid: Devising a Defensive Paradigm via a Bespoke Convolutional Adversarial Neural Network Module and Particle Swarm Optimization-based Enhanced Reinforcement Learning Component

Steve Chan

doi:10.2139/ssrn.4287248

Mitigating Against a Succession of Hidden Failure Accelerants Involved in an Insider Threat Sequential Topology Attack on a Smart Grid: Devising a Defensive Paradigm via a Bespoke Convolutional Adversarial Neural Network Module and Particle Swarm Optimization-based Enhanced Reinforcement Learning Component

Steve Chan

https://doi.org/10.2139/ssrn.4287248

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Journal: SSRN

Publication Date: Jan 1, 2022

Affiliation: Institute of Electrical and Electronics Engineers, Harvard University Press

#Neural Network Particle Swarm #Network Particle Swarm + Show 8 more

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Abstract

Mitigating Against a Succession of Hidden Failure Accelerants Involved in an Insider Threat Sequential Topology Attack on a Smart Grid: Devising a Defensive Paradigm via a Bespoke Convolutional Adversarial Neural Network Module and Particle Swarm Optimization-based Enhanced Reinforcement Learning Component

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