A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis
Intrusion detection (ID) is critical in securing computer networks against various malicious
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …
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
Develo** 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 …
[PDF][PDF] Network Intrusion Detection Based on Feature Selection and Hybrid Metaheuristic Optimization.
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
Intelligent approach to build a Deep Neural Network based IDS for cloud environment using combination of machine learning algorithms
The appealing features of Cloud Computing continue to fuel its adoption and its integration
in many sectors such industry, governments, education and entertainment. Nevertheless …
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 …
expansion in different sectors of society such as education, government, information …