The paper presents a study on improving the security of Internet of Things (IoT) devices using artificial intelligence (AI) and reinforcement learning. It specifically focuses on the use of attack graphs and paths to identify potential security threats. The research also discusses the application of Graph Neural Network (GNN) and Graph Attention Network (GAT) in this context. The GNN is used to encode the attack graph, while GAT is used to determine the significance of each node in the graph. The study was funded by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant by the Korea government.
Publication date: 27 Nov 2023
Project Page: https://arxiv.org/abs/2311.14342
Paper: https://arxiv.org/pdf/2311.14342
