An efficient evolutionary deep learning-based attack prediction in supply chain management systems
Abstract Supply Chain Management Systems (SCM) is the critical infrastructure that can be
treated as a significant factor since it forms advancement in intelligent devices. The cyber …
treated as a significant factor since it forms advancement in intelligent devices. The cyber …
Swarm intelligence for IoT attack detection in fog-enabled cyber-physical system
To provide remote access, surveillance, and analysis, network integration is common in
Cyber-Physical Systems (CPSs). This leads to cyber attacks due to the integration of …
Cyber-Physical Systems (CPSs). This leads to cyber attacks due to the integration of …
Explainable artificial intelligence enabled intrusion detection technique for secure cyber-physical systems
A cyber-physical system (CPS) can be referred to as a network of cyber and physical
components that communicate with each other in a feedback manner. A CPS is essential for …
components that communicate with each other in a feedback manner. A CPS is essential for …
Systematic literature review on intrusion detection systems: Research trends, algorithms, methods, datasets, and limitations
MM Issa, M Aljanabi, HM Muhialdeen - Journal of Intelligent Systems, 2024 - degruyter.com
Abstract Machine learning (ML) and deep learning (DL) techniques have demonstrated
significant potential in the development of effective intrusion detection systems. This study …
significant potential in the development of effective intrusion detection systems. This study …
The CESAE multiple objection optimization network of the ACO-OFDM VLC system
L Hao, P Cao, C Li, D Wang - Optics Communications, 2024 - Elsevier
Visible light communication (VLC) is a foreground technology in the sixth generation (6G)
communication system. Simultaneously deep learning network is a novel approach to …
communication system. Simultaneously deep learning network is a novel approach to …
Automated Threat Detection Using Flamingo Search Algorithm With Optimal Deep Learning on Cyber-Physical System Environment
Threat detection in a Cyber-Physical System (CPS) platform is a key feature of ensuring the
reliability and security of these connected methods, but digital elements interface with the …
reliability and security of these connected methods, but digital elements interface with the …
An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems
The rapid growth of IoT (Internet of Things) and smart services facilitate many CPS (Cyber-
Physical Systems) such as smart health, smart grid and so on. Nevertheless, the …
Physical Systems) such as smart health, smart grid and so on. Nevertheless, the …
[PDF][PDF] An equilibrium optimizer with deep recurrent neural networks enabled intrusion detection in secure cyber-physical systems
An equilibrium optimizer with deep recurrent neural networks enabled intrusion detection in
secure cyber-physical systems Page 1 AIMS Mathematics, 9(5): 11718–11734. DOI …
secure cyber-physical systems Page 1 AIMS Mathematics, 9(5): 11718–11734. DOI …
Review of Abnormalities Detection in IoT Using Evolutionary Deep Learning
SR Kokaz, ATA Salih… - … Conference on Information …, 2023 - ieeexplore.ieee.org
Today, the Internet is used for various applications such as sending or receiving emails,
access to multimedia services, social networks, etc. Moreover, the population of people who …
access to multimedia services, social networks, etc. Moreover, the population of people who …
Trust Monitoring in a Cyber-Physical System for Security Analysis Based on Distributed Computing
E Basan, M Lapina, A Lesnikov, A Basyuk… - … Conference on Actual …, 2022 - Springer
Cyber-physical systems are widely used. Nevertheless, security issues are quite acute for
them. First of all, because the system must work constantly without downtime and failures …
them. First of all, because the system must work constantly without downtime and failures …