[HTML][HTML] Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges
Abstract The application of Machine Learning (ML) techniques to the well-known intrusion
detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks …
detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks …
Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges
Feature selection (FS), as one of the most significant preprocessing techniques in the fields
of machine learning and pattern recognition, has received great attention. In recent years …
of machine learning and pattern recognition, has received great attention. In recent years …
Advanced feature extraction and selection approach using deep learning and Aquila optimizer for IoT intrusion detection system
Developing cyber security is very necessary and has attracted considerable attention from
academy and industry organizations worldwide. It is also very necessary to provide …
academy and industry organizations worldwide. It is also very necessary to provide …
Intrusion detection approach for cloud and IoT environments using deep learning and Capuchin Search Algorithm
M Abd Elaziz, MAA Al-qaness, A Dahou… - … in Engineering Software, 2023 - Elsevier
Abstract The Internet of Things (IoT) enabled technology will be adopted to develop smart
cities, electronic commerce, electronic learning, electronic health, and other aspects of …
cities, electronic commerce, electronic learning, electronic health, and other aspects of …
Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning
Abstract Software Fault Prediction (SFP) is an important process to detect the faulty
components of the software to detect faulty classes or faulty modules early in the software …
components of the software to detect faulty classes or faulty modules early in the software …
Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems
In the feature selection process, reaching the best subset of features is considered a difficult
task. To deal with the complexity associated with this problem, a sophisticated and robust …
task. To deal with the complexity associated with this problem, a sophisticated and robust …
Anomaly-based intrusion detection system in the Internet of Things using a convolutional neural network and multi-objective enhanced Capuchin Search Algorithm
H Asgharzadeh, A Ghaffari, M Masdari… - Journal of Parallel and …, 2023 - Elsevier
Nowadays, the growth and pervasiveness of Internet of Things (IoT) devices have led to
increased attacks by hackers and attackers. On the other hand, using IoT infrastructure in …
increased attacks by hackers and attackers. On the other hand, using IoT infrastructure in …
Energy-aware metaheuristic algorithm for industrial-Internet-of-Things task scheduling problems in fog computing applications
M Abdel-Basset, D El-Shahat… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
In Industrial-Internet-of-Things (IIoT) applications, fog computing (FC) has soared as a
means to improve the Quality of Services (QoSs) provided to users through cloud computing …
means to improve the Quality of Services (QoSs) provided to users through cloud computing …
Comparative analysis of intrusion detection systems and machine learning based model analysis through decision tree
Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …
Binary improved white shark algorithm for intrusion detection systems
Intrusion Detection (ID) is an essential task in the cyberattacks domain built to secure
Internet applications and networks from malicious actors. The main shortcoming of the …
Internet applications and networks from malicious actors. The main shortcoming of the …