Anomaly Detection in Industrial IoT Using Distributional Reinforcement Learning and Generative Adversarial Networks

Adversarial Attacks Against Deep Learning-Based Network Intrusion Detection Systems and Defense Mechanisms

(2022) Chaoyun Zhang et al.   IEEE-ACM TRANSACTIONS ON NETWORKING

An enhanced Grey Wolf Optimizer based Particle Swarm Optimizer for intrusion detection system in wireless sensor networks

(2022) Mohammed Otair et al.   WIRELESS NETWORKS

Intrusion Detection System for IoT Based on Deep Learning and Modified Reptile Search Algorithm

(2022) Abdelghani Dahou et al.   Computational Intelligence and Neuroscience

FGMD: A robust detector against adversarial attacks in the IoT network

(2022) Hongling Jiang et al.   Future Generation Computer Systems-The International Journal of eScience

Intrusion detection system based on hybridizing a modified binary grey wolf optimization and particle swarm optimization

(2022) Qusay M Alzubi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Robust Enhancement of Intrusion Detection Systems Using Deep Reinforcement Learning and Stochastic Game

(2022) Hafsa Benaddi et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions

(2021) Shahid Latif et al.   SENSORS

Graph-based deep learning for communication networks: A survey

(2021) Weiwei Jiang   COMPUTER COMMUNICATIONS

Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System

(2021) Xiaokang Zhou et al.   IEEE Internet of Things Journal

Comparative study on the time series forecasting of web traffic based on statistical model and Generative Adversarial model

(2020) Kun Zhou et al.   KNOWLEDGE-BASED SYSTEMS

Robust Learning-Enabled Intelligence for the Internet of Things: A Survey From the Perspectives of Noisy Data and Adversarial Examples

(2020) Yulei Wu   IEEE Internet of Things Journal

Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things

(2019) Geethapriya Thamilarasu et al.   SENSORS