A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis

S Muneer, U Farooq, A Athar… - Journal of …, 2024 - Wiley Online Library
Intrusion detection (ID) is critical in securing computer networks against various malicious
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …

Advanced feature extraction and selection approach using deep learning and Aquila optimizer for IoT intrusion detection system

A Fatani, A Dahou, MAA Al-Qaness, S Lu, MA Elaziz - Sensors, 2021 - mdpi.com
Develo** cyber security is very necessary and has attracted considerable attention from
academy and industry organizations worldwide. It is also very necessary to provide …

[PDF][PDF] Network Intrusion Detection Based on Feature Selection and Hybrid Metaheuristic Optimization.

R Alkanhel, ESM El-kenawy… - … , Materials & Continua, 2023 - researchgate.net
Applications of internet-of-things (IoT) are increasingly being used in many facets of our
daily life, which results in an enormous volume of data. Cloud computing and fog computing …

Intrusion detection systems in cloud computing paradigm: analysis and overview

P Rana, I Batra, A Malik, AL Imoize, Y Kim… - …, 2022 - Wiley Online Library
Cloud computing paradigm is growing rapidly, and it allows users to get services via the
Internet as pay‐per‐use and it is convenient for develo**, deploying, and accessing …

Intrusion detection system for IoT based on deep learning and modified reptile search algorithm

A Dahou, M Abd Elaziz, SA Chelloug… - Computational …, 2022 - Wiley Online Library
This study proposes a novel framework to improve intrusion detection system (IDS)
performance based on the data collected from the Internet of things (IoT) environments. The …

An effective feature selection model using hybrid metaheuristic algorithms for iot intrusion detection

SS Kareem, RR Mostafa, FA Hashim, HM El-Bakry - Sensors, 2022 - mdpi.com
The increasing use of Internet of Things (IoT) applications in various aspects of our lives has
created a huge amount of data. IoT applications often require the presence of many …

IoT intrusion detection system using deep learning and enhanced transient search optimization

A Fatani, M Abd Elaziz, A Dahou, MAA Al-Qaness… - IEEE …, 2021 - ieeexplore.ieee.org
The great advancements in communication, cloud computing, and the internet of things (IoT)
have opened critical challenges in security. With these developments, cyberattacks are also …

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 …

Intelligent approach to build a Deep Neural Network based IDS for cloud environment using combination of machine learning algorithms

Z Chiba, N Abghour, K Moussaid, M Rida - computers & security, 2019 - Elsevier
The appealing features of Cloud Computing continue to fuel its adoption and its integration
in many sectors such industry, governments, education and entertainment. Nevertheless …

Attack and intrusion detection in cloud computing using an ensemble learning approach

P Singh, V Ranga - International Journal of Information Technology, 2021 - Springer
The distributed and decentralized nature of cloud computing facilitates its adoption and
expansion in different sectors of society such as education, government, information …