Metaheuristic feature selection with deep learning enabled cascaded recurrent neural network for anomaly detection in Industrial Internet of Things environment
N Chander, M Upendra Kumar - Cluster Computing, 2023 - Springer
Abstract Industrial Internet of Things (IIoT) acts as essential part of the revolutionary
transition of conventional industries towards Industry 4.0. By the integration of instruments …
transition of conventional industries towards Industry 4.0. By the integration of instruments …
Improving collaborative intrusion detection system using blockchain and pluggable authentication modules for sustainable Smart City
The threat of cyber-attacks is ever increasing in today's society. There is a clear need for
better and more effective defensive tools. Intrusion detection can be defined as the detection …
better and more effective defensive tools. Intrusion detection can be defined as the detection …
Golden Jackal Optimization with a Deep Learning-Based Cybersecurity Solution in Industrial Internet of Things Systems
Recently, artificial intelligence (AI) has gained an abundance of attention in cybersecurity for
Industry 4.0 and has shown immense benefits in a large number of applications. AI …
Industry 4.0 and has shown immense benefits in a large number of applications. AI …
Enhanced pelican optimization algorithm with ensemble-based anomaly detection in industrial internet of things environment
N Chander, M Upendra Kumar - Cluster Computing, 2024 - Springer
Anomaly detection (AD) in the industrial internet of things (IIoT) platform is said to be the
major module of security the consistency, safety, and efficacy of industrial procedures. In …
major module of security the consistency, safety, and efficacy of industrial procedures. In …
Information-extreme machine learning of a cyber attack detection system
A Dovbysh, V Liubchak, I Shelehov, J Simonovskiy… - 2022 - dspace.library.khai.edu
This study increases the functional efficiency of machine learning of a cyber attack detection
system. An information-extreme machine learning method for a cyber attack detection …
system. An information-extreme machine learning method for a cyber attack detection …
Constraining adversarial attacks on network intrusion detection systems: transferability and defense analysis
Adversarial attacks have been extensively studied in the domain of deep image
classification, but their impacts on other domains such as Machine and Deep Learning …
classification, but their impacts on other domains such as Machine and Deep Learning …
Methodology for the Detection of Contaminated Training Datasets for Machine Learning-Based Network Intrusion-Detection Systems
JG Medina-Arco, R Magán-Carrión… - Sensors, 2024 - mdpi.com
With the significant increase in cyber-attacks and attempts to gain unauthorised access to
systems and information, Network Intrusion-Detection Systems (NIDSs) have become …
systems and information, Network Intrusion-Detection Systems (NIDSs) have become …
Enhancing the Efficiency of a Cybersecurity Operations Center Using Biomimetic Algorithms Empowered by Deep Q-Learning
In the complex and dynamic landscape of cyber threats, organizations require sophisticated
strategies for managing Cybersecurity Operations Centers and deploying Security …
strategies for managing Cybersecurity Operations Centers and deploying Security …
[PDF][PDF] Feature Selection with Deep Reinforcement Learning for Intrusion Detection System.
An intrusion detection system (IDS) becomes an important tool for ensuring security in the
network. In recent times, machine learning (ML) and deep learning (DL) models can be …
network. In recent times, machine learning (ML) and deep learning (DL) models can be …
Self-healing hybrid intrusion detection system: an ensemble machine learning approach
S Kushal, B Shanmugam, J Sundaram… - Discover Artificial …, 2024 - Springer
The increasing complexity and adversity of cyber-attacks have prompted discussions in the
cyber scenario for a prognosticate approach, rather than a reactionary one. In this paper, a …
cyber scenario for a prognosticate approach, rather than a reactionary one. In this paper, a …