AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems
IH Sarker - SN Computer Science, 2022 - Springer
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …
Intrusion detection and prevention in fog based IoT environments: A systematic literature review
Abstract Currently, the Internet of Things is spreading in all areas that apply computing
resources. An important ally of the IoT is fog computing. It extends cloud computing and …
resources. An important ally of the IoT is fog computing. It extends cloud computing and …
Optimized machine learning-based intrusion detection system for fog and edge computing environment
As a new paradigm, fog computing (FC) has several characteristics that set it apart from the
cloud computing (CC) environment. Fog nodes and edge computing (EC) hosts have limited …
cloud computing (CC) environment. Fog nodes and edge computing (EC) hosts have limited …
Fractionation of dyes/salts using loose nanofiltration membranes: Insight from machine learning prediction
Wastewater (WW) served as the crucial indicator for sustainable development, human
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
[HTML][HTML] An improved binary manta ray foraging optimization algorithm based feature selection and random forest classifier for network intrusion detection
The growth within the Internet and communications areas have led to a massive surge in the
dimension of network and data. Consequently, several new threats are being created and …
dimension of network and data. Consequently, several new threats are being created and …
A systematic literature review for network intrusion detection system (IDS)
OH Abdulganiyu, T Ait Tchakoucht… - International Journal of …, 2023 - Springer
With the recent increase in internet usage, the number of important, sensitive, confidential
individual and corporate data passing through internet has increasingly grown. With gaps in …
individual and corporate data passing through internet has increasingly grown. With gaps in …
Multi‐aspects AI‐based modeling and adversarial learning for cybersecurity intelligence and robustness: A comprehensive overview
IH Sarker - Security and Privacy, 2023 - Wiley Online Library
Due to the rising dependency on digital technology, cybersecurity has emerged as a more
prominent field of research and application that typically focuses on securing devices …
prominent field of research and application that typically focuses on securing devices …
Hybrid VGG19 and 2D-CNN for intrusion detection in the FOG-cloud environment
A Binbusayyis - Expert Systems with Applications, 2024 - Elsevier
Fog computing (FC) extends cloud technology by providing services, storage, and network
interaction between data centers and end devices. By putting storage and processing closer …
interaction between data centers and end devices. By putting storage and processing closer …
Hyper clustering model for dynamic network intrusion detection
AS Alfoudi, MR Aziz, ZAA Alyasseri… - IET …, 2022 - Wiley Online Library
Abstract Generally, the existing Intrusion Detection Systems (IDS) solutions suffer from low
detection accuracy for some attack types compared with the overall detection accuracy of …
detection accuracy for some attack types compared with the overall detection accuracy of …
Stacking ensemble approach for DDoS attack detection in software-defined cyber–physical systems
Abstract Distributed Denial of Service (DDoS) attacks are common and increasing in
frequency. It renders the service inaccessible to legitimate users and degrades network …
frequency. It renders the service inaccessible to legitimate users and degrades network …