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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 …
Machine learning for cloud security: a systematic review
The popularity and usage of Cloud computing is increasing rapidly. Several companies are
investing in this field either for their own use or to provide it as a service for others. One of …
investing in this field either for their own use or to provide it as a service for others. One of …
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 …
[HTML][HTML] 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 …
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 …
Performance comparison of intrusion detection systems and application of machine learning to Snort system
This study investigates the performance of two open source intrusion detection systems
(IDSs) namely Snort and Suricata for accurately detecting the malicious traffic on computer …
(IDSs) namely Snort and Suricata for accurately detecting the malicious traffic on computer …
Enhancing intrusion detection systems for IoT and cloud environments using a growth optimizer algorithm and conventional neural networks
Intrusion detection systems (IDS) play a crucial role in securing networks and identifying
malicious activity. This is a critical problem in cyber security. In recent years, metaheuristic …
malicious activity. This is a critical problem in cyber security. In recent years, metaheuristic …
Intrusion detection techniques in cloud environment: A survey
Security is of paramount importance in this new era of on-demand Cloud Computing.
Researchers have provided a survey on several intrusion detection techniques for detecting …
Researchers have provided a survey on several intrusion detection techniques for detecting …
Voting extreme learning machine based distributed denial of service attack detection in cloud computing
Distributed denial of service attack is one of the most dangerous attacks in cloud computing.
This attack makes the cloud services inaccessible to the end-users by exhausting resources …
This attack makes the cloud services inaccessible to the end-users by exhausting resources …
Distributed intrusion detection system for cloud environments based on data mining techniques
Nearly two decades after its emergence, the Cloud Computing remains gaining traction
among organizations and individual users. Many security issues arise with the transition to …
among organizations and individual users. Many security issues arise with the transition to …