Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review
M Kaveh, MS Mesgari - Neural Processing Letters, 2023 - Springer
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …
and deep learning (DL) architectures is considered one of the most challenging machine …
A survey on industrial control system testbeds and datasets for security research
The increasing digitization and interconnection of legacy Industrial Control Systems (ICSs)
open new vulnerability surfaces, exposing such systems to malicious attackers. Furthermore …
open new vulnerability surfaces, exposing such systems to malicious attackers. Furthermore …
HML-IDS: A hybrid-multilevel anomaly prediction approach for intrusion detection in SCADA systems
Critical infrastructures, eg, electricity generation and dispersal networks, chemical
processing plants, and gas distribution, are governed and monitored by supervisory control …
processing plants, and gas distribution, are governed and monitored by supervisory control …
[HTML][HTML] A novel hybrid ensemble learning for anomaly detection in industrial sensor networks and SCADA systems for smart city infrastructures
YK Saheed, OH Abdulganiyu, TA Tchakoucht - Journal of King Saud …, 2023 - Elsevier
Abstract Critical Infrastructures (CIs) use Supervisory Control and Data Acquisition (SCADA)
systems for monitoring and remote control. Sensor networks are being integrated into all …
systems for monitoring and remote control. Sensor networks are being integrated into all …
Comparative evaluation of ai-based techniques for zero-day attacks detection
Many intrusion detection and prevention systems (IDPS) have been introduced to identify
suspicious activities. However, since attackers are exploiting new vulnerabilities in systems …
suspicious activities. However, since attackers are exploiting new vulnerabilities in systems …
Defense against distributed DoS attack detection by using intelligent evolutionary algorithm
Modern society is prominently dependent on information and communication technology
over the last few decades has carried it with more vulnerability to an enormous variety of …
over the last few decades has carried it with more vulnerability to an enormous variety of …
[HTML][HTML] Optimising Multilayer Perceptron weights and biases through a Cellular Genetic Algorithm for medical data classification
In recent years, technology in medicine has shown a significant advance due to artificial
intelligence becoming a framework to make accurate medical diagnoses. Models like …
intelligence becoming a framework to make accurate medical diagnoses. Models like …
A hypergraph based Kohonen map for detecting intrusions over cyber–physical systems traffic
Abstract Cyber–Physical System acts as a cornerstone in Industry 4.0 by integrating
information-technology, electrical, and mechanical engineering under the same crown. This …
information-technology, electrical, and mechanical engineering under the same crown. This …
[PDF][PDF] A study on intrusion detection system in wireless sensor networks
S Godala, RPV Vaddella - International Journal of Communication …, 2020 - researchgate.net
The technology of Wireless Sensor Networks (WSNs) has become most significant in
present day. WSNs are extensively used in applications like military, industry, health, smart …
present day. WSNs are extensively used in applications like military, industry, health, smart …
Anomaly Detection in a Smart Industrial Machinery Plant Using IoT and Machine Learning
In an increasingly technology-driven world, the security of Internet-of-Things systems has
become a top priority. This article presents a study on the implementation of security …
become a top priority. This article presents a study on the implementation of security …