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) …
A survey on essential challenges in relay-aided D2D communication for next-generation cellular networks
Abstract Device-to-device (D2D) communication was originally presented as an efficient
solution to boost conventional cellular network performance. Since the signals degrade …
solution to boost conventional cellular network performance. Since the signals degrade …
An efficient hybrid QHCP-ABE model to improve cloud data integrity and confidentiality
Cloud computational service is one of the renowned services utilized by employees,
employers, and organizations collaboratively. It is accountable for data management and …
employers, and organizations collaboratively. It is accountable for data management and …
State-of-the-art device-to-device communication solutions
In recent years, with the spread of IoT services and the amount of data on the network, the
importance of D2D communications has emerged in unloading the network, reducing data …
importance of D2D communications has emerged in unloading the network, reducing data …
Internet of drones: Routing algorithms, techniques and challenges
In the past decades, unmanned aerial vehicles (UAVs), also known as drones, have drawn
more attention in the academic domain and exploration in the research fields of wireless …
more attention in the academic domain and exploration in the research fields of wireless …
Artificial intelligence in beyond 5G and 6G reliable communications
The rapid increase in heterogeneous data traffic with the ongoing development of self-
organizing and self-sustaining networks exposes the limitations of the fifth generation (5G) …
organizing and self-sustaining networks exposes the limitations of the fifth generation (5G) …
A Systematic Review of LPWAN and Short-Range Network using AI to Enhance Internet of Things
MH Widianto, A Sinaga, MA Ginting - Journal of Robotics and …, 2022 - journal.umy.ac.id
Artificial intelligence (AI) has recently been used frequently, especially concerning the
Internet of Things (IoT). However, IoT devices cannot work alone, assisted by Low Power …
Internet of Things (IoT). However, IoT devices cannot work alone, assisted by Low Power …
Reliability optimization in narrowband device-to-device communication for 5G and beyond-5G networks
The 5G and beyond-5G (B5G) is expected to be a key enabler for Internet-of-Everything
(IoE). The narrowband Internet of Things (NB-IoT) is a low-power wide-area enabling …
(IoE). The narrowband Internet of Things (NB-IoT) is a low-power wide-area enabling …
[PDF][PDF] The Enhanced Machine Learning Model for Device Prediction in Device-To-Device (D2D) Communications
J Logeshwaran, T Kiruthiga - … Journal of Research in Science & …, 2022 - researchgate.net
Device-to-Device (D2D) Communications is an emerging wireless technology which
enables two or more devices to communicate with each other locally without the need for a …
enables two or more devices to communicate with each other locally without the need for a …
A systematic literature review of machine learning applications in IoT
Summary The Internet of Things (IoT) is a network of interconnected smart objects having
capabilities that collectively form an ecosystem and enable the delivery of smart services to …
capabilities that collectively form an ecosystem and enable the delivery of smart services to …