Applications of multi-agent reinforcement learning in future internet: A comprehensive survey
Future Internet involves several emerging technologies such as 5G and beyond 5G
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
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 …
Distributed response to network intrusions using multiagent reinforcement learning
K Malialis, D Kudenko - Engineering Applications of Artificial Intelligence, 2015 - Elsevier
Distributed denial of service (DDoS) attacks constitute a rapidly evolving threat in the current
Internet. Multiagent Router Throttling is a novel approach to defend against DDoS attacks …
Internet. Multiagent Router Throttling is a novel approach to defend against DDoS attacks …
Intrusion prevention through optimal stopping
We study automated intrusion prevention using reinforcement learning. Following a novel
approach, we formulate the problem of intrusion prevention as an (optimal) multiple stopping …
approach, we formulate the problem of intrusion prevention as an (optimal) multiple stopping …
Reinforcement learning applications in cyber security: A review
In the modern age we live in, the internet has become an essential part of our daily life. A
significant portion of our personal data is stored online and organizations run their business …
significant portion of our personal data is stored online and organizations run their business …
Distributed reinforcement learning for adaptive and robust network intrusion response
Distributed denial of service (DDoS) attacks constitute a rapidly evolving threat in the current
Internet. Multiagent Router Throttling is a novel approach to defend against DDoS attacks …
Internet. Multiagent Router Throttling is a novel approach to defend against DDoS attacks …
A new smart router-throttling method to mitigate DDoS attacks
SM Xia, SZ Guo, W Bai, JY Qiu, H Wei, ZS Pan - IEEE Access, 2019 - ieeexplore.ieee.org
The distributed denial of service (DDoS) attack is one of the most server threats to the
current Internet and brings huge losses to society. Furthermore, it is challenging to defend …
current Internet and brings huge losses to society. Furthermore, it is challenging to defend …
Choosing the reinforcement learning method for modeling DdoS attacks
P Cheskidov, K Nikolskaia… - 2019 International Multi …, 2019 - ieeexplore.ieee.org
Distributed denial of service (DDoS) attacks constitute a rapidly evolving threat in the current
Internet. In the field of DDoS attacks, as in all other areas of cybersecurity, the battle between …
Internet. In the field of DDoS attacks, as in all other areas of cybersecurity, the battle between …
A heterogenous IoT attack detection through deep reinforcement learning: a dynamic ML approach
R Baby, Z Pooranian, M Shojafar… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
This paper presents an innovative Intrusion Detection System (IDS) architecture using Deep
Reinforcement Learning (DRL). To accomplish this, we started by analysing the DRL issue …
Reinforcement Learning (DRL). To accomplish this, we started by analysing the DRL issue …
Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search
The CAGE-2 challenge is considered a standard benchmark to compare methods for
autonomous cyber defense. Current state-of-the-art methods evaluated against this …
autonomous cyber defense. Current state-of-the-art methods evaluated against this …