Cyber-security and reinforcement learning—A brief survey
AMK Adawadkar, N Kulkarni - Engineering Applications of Artificial …, 2022 - Elsevier
This paper presents a comprehensive literature review on Reinforcement Learning (RL)
techniques used in Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS) …
techniques used in Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS) …
Federated reinforcement learning in iot: Applications, opportunities and open challenges
The internet of things (IoT) represents a disruptive concept that has been changing society in
several ways. There have been several successful applications of IoT in the industry. For …
several ways. There have been several successful applications of IoT in the industry. For …
Asynchronous federated learning system based on permissioned blockchains
The existing federated learning framework is based on the centralized model coordinator,
which still faces serious security challenges such as device differentiated computing power …
which still faces serious security challenges such as device differentiated computing power …
[HTML][HTML] Tiny machine learning for resource-constrained microcontrollers
R Immonen, T Hämäläinen - Journal of Sensors, 2022 - hindawi.com
We use 250 billion microcontrollers daily in electronic devices that are capable of running
machine learning models inside them. Unfortunately, most of these microcontrollers are …
machine learning models inside them. Unfortunately, most of these microcontrollers are …
Holistic Survey of Privacy and Fairness in Machine Learning
Privacy and fairness are two crucial pillars of responsible Artificial Intelligence (AI) and
trustworthy Machine Learning (ML). Each objective has been independently studied in the …
trustworthy Machine Learning (ML). Each objective has been independently studied in the …
Federated learning‐based IoT: A systematic literature review
M Hosseinzadeh, A Hemmati… - International Journal of …, 2022 - Wiley Online Library
Summary The Internet of Things (IoT) has a significant impact on our daily lives as
applications, services, devices, and industries become more intelligent. Artificial intelligence …
applications, services, devices, and industries become more intelligent. Artificial intelligence …
Heterogeneous IoT (HetIoT) security: techniques, challenges and open issues
The HetIoT is a new emergent technology widely used to offer QoS to applications such as
health monitoring systems, agriculture 4.0, traffic monitoring, industry 4.0, and civil defense …
health monitoring systems, agriculture 4.0, traffic monitoring, industry 4.0, and civil defense …
Energy efficient task scheduling based on deep reinforcement learning in cloud environment: A specialized review
H Hou, SNA Jawaddi, A Ismail - Future Generation Computer Systems, 2023 - Elsevier
The expanding scale of cloud data centers and the diversification of user services have led
to an increase in energy consumption and greenhouse gas emissions, resulting in long-term …
to an increase in energy consumption and greenhouse gas emissions, resulting in long-term …
[HTML][HTML] Optimizing data aggregation and clustering in internet of things networks using principal component analysis and Q-learning
A Bajpai, H Verma, A Yadav - Data Science and Management, 2024 - Elsevier
The internet of things (IoT) is a wireless network designed to perform specific tasks and
plays a crucial role in various fields such as environmental monitoring, surveillance, and …
plays a crucial role in various fields such as environmental monitoring, surveillance, and …
Optimal replication strategy for mitigating burst traffic in information-centric satellite networks: a focus on remote sensing image transmission
Z Xing, X Di, H Qi, J Chen, J Cao, J Liu, X Li… - Frontiers of Information …, 2024 - Springer
Abstract Information-centric satellite networks play a crucial role in remote sensing
applications, particularly in the transmission of remote sensing images. However, the …
applications, particularly in the transmission of remote sensing images. However, the …