An agent-based architecture using deep reinforcement learning for the intelligent internet of things applications

DB Noureddine, M Krichen, S Mechti, T Nahhal… - Advances on Smart and …, 2021 - Springer
Abstract Internet of Things (IoT) is composed of many IoT devices connected throughout the
Internet, that collect and share information to represent the environment. IoT is currently …

Machine Learning for Security and Security for Machine Learning: A Literature Review

N Wiranda, F Sadikin - 2021 4th International Conference on …, 2021 - ieeexplore.ieee.org
This manuscript is a literature survey and review of the topic of machine learning for security
and security for machine learning. The work was carried out covering 36 previous research …

Machine Learning‐Based Stealing Attack of the Temperature Monitoring System for the Energy Internet of Things

Q Li, L Zhang, R Zhou, Y Xia, W Gao… - Security and …, 2021 - Wiley Online Library
With the development of the Energy Internet of Things (EIoT), it is of great practical
significance to study the security strategy and intelligent control system for solar thermal …

Iot platforms and services configuration through parameter sweep: a simulation-based approach

A Barbieri, F Marozzo… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Due to their inherent cyber-physical features and high interactivity, IoT services exhibit
performances which are simultaneously impacted by different orthogonal factors. Indeed …

AIOT-Arch: furthering artificial intelligence in big data IoT applications

S Said, R Ihab, O Hesham, I Abou Tabl… - IOP Conference …, 2021 - iopscience.iop.org
Applications for the Internet of Things (IoT) have evolved in excessive numbers, producing a
vast amount of data needed for intelligent processing. The varying IoT infrastructures such …

A comprehensive study of IoT security risks in building a secure smart city

A Bhargava, G Salunkhe, S Bhargava… - … Cities Roadmap: IoT …, 2021 - Wiley Online Library
Summary The Internet of Things (IoT) is capable of assimilating a variety of heterogeneous
systems, by facilitating seamless access and communication amongst an expansive range …

A survey on learning-based intrusion detection systems for IoT networks

S Abdelhamid, M Aref, I Hegazy… - 2021 Tenth …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) networks have developed tremendously over the past years. The
main concept behind this technology is to facilitate information exchange between devices …

Deep-learning-assisted wireless-powered secure communications with imperfect channel state information

W Lee, K Lee, TQS Quek - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
In this article, we consider a practical scenario for secure wireless-powered communication
in the presence of imperfect channel state information (CSI) with simultaneous energy …

Machine learning challenges for IOT device fingerprints identification

VA Ferman, MA Tawfeeq - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The dramatic growth of Internet of Things (IoT) devices in recent years increases the IoT
networks' vulnerabilities and introduces new challenges among machine learning (ML) …

Anomaly Detection over SDN Using Machine Learning and Deep Learning for Securing Smart City

R Batra, VK Shrivastava, AK Goel - Green Internet of Things for …, 2021 - taylorfrancis.com
The security over data is now a major concern for all applications. Attacks over data are
going to be increasing day by day. Therefore, there is a need of security mechanism over all …