[HTML][HTML] Security defense strategy algorithm for Internet of Things based on deep reinforcement learning
X Feng, J Han, R Zhang, S Xu, H Xia - High-Confidence Computing, 2024 - Elsevier
Currently, important privacy data of the Internet of Things (IoT) face extremely high risks of
leakage. Attackers persistently engage in continuous attacks on terminal devices to obtain …
leakage. Attackers persistently engage in continuous attacks on terminal devices to obtain …
TSGS: Two-stage security game solution based on deep reinforcement learning for Internet of Things
X Feng, H Xia, S Xu, L Xu, R Zhang - Expert Systems with Applications, 2023 - Elsevier
The lack of effective defense resource allocation strategies and reliable multi-agent
collaboration mechanisms lead to the low stability of Deep Reinforcement Learning (DRL) …
collaboration mechanisms lead to the low stability of Deep Reinforcement Learning (DRL) …
Dynamic threshold strategy optimization for security protection in Internet of Things: An adversarial deep learning‐based game‐theoretical approach
As mobile communications, the Internet, databases, distributed computing, and other
technologies continue to develop, the Internet of Things (IoT) has emerged as prevalent …
technologies continue to develop, the Internet of Things (IoT) has emerged as prevalent …
A Multi-Agents Deep Reinforcement Learning Autonomous Security Management Approach for Internet of Things
B Ren, Y Tang, H Wang, Y Wang, J Liu… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Enhancing the security capability of decentralized networks has been a focus of attention in
the IoT academic community. Decentralized networks face problems such as lack of security …
the IoT academic community. Decentralized networks face problems such as lack of security …
RRIoT: Recurrent Reinforcement Learning for Cyber Threat Detection on IoT Devices
C Rookard, A Khojandi - Computers & Security, 2024 - Elsevier
To address the recent worldwide proliferation of cybersecurity attacks across computing
systems, especially internet-of-things devices, new robust and automated methods are …
systems, especially internet-of-things devices, new robust and automated methods are …
Empowering Security and Trust in 5G and Beyond: A Deep Reinforcement Learning Approach
H Moudoud, S Cherkaoui - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Recent advances in 5G and beyond have further expanded the potential of IoT applications,
bringing unprecedented levels of connectivity, speed, and low latency. However, these …
bringing unprecedented levels of connectivity, speed, and low latency. However, these …
Intrusion detection system for industrial Internet of Things based on deep reinforcement learning
The Industrial Internet of Things has grown significantly in recent years. While implementing
industrial digitalization, automation, and intelligence introduced a slew of cyber risks, the …
industrial digitalization, automation, and intelligence introduced a slew of cyber risks, the …
Attacking deep reinforcement learning with decoupled adversarial policy
While Deep Reinforcement Learning (DRL) has achieved outstanding performance in
extensive applications, exploiting its vulnerability with adversarial attacks is essential …
extensive applications, exploiting its vulnerability with adversarial attacks is essential …
Reinforcement learning for iot security: A comprehensive survey
The number of connected smart devices has been increasing exponentially for different
Internet-of-Things (IoT) applications. Security has been a long run challenge in the IoT …
Internet-of-Things (IoT) applications. Security has been a long run challenge in the IoT …
Security Performance Prediction Method of Artificial Intelligence of Things Based on Lightweight MS-Net Network
Emerging technologies such as artificial intelligence and big data have made numerous
Internet of things (IoT) applications possible. In particular, the Artificial Intelligence of Things …
Internet of things (IoT) applications possible. In particular, the Artificial Intelligence of Things …