Effective Intrusion Detection in Highly Imbalanced IoT Networks with Lightweight S2CGAN-IDS

no code implementations • 6 Jun 2023 • Caihong Wang, Du Xu, Zonghang Li, Dusit Niyato

The proposed framework leverages the distribution characteristics of network traffic to expand the number of minority categories in both data space and feature space, resulting in a substantial increase in the detection rate of minority categories while simultaneously ensuring the detection precision of majority categories.

Intrusion Detection

Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks

no code implementations • 17 Nov 2020 • Yueyue Dai, Du Xu, Ke Zhang, Sabita Maharjan, Yan Zhang

In this paper, we integrate DRL and permissioned blockchain into vehicular networks for intelligent and secure content caching.

Edge-computing Reinforcement Learning (RL)