Intrusion detection systems for RPL security: a comparative analysis
Abstract Internet of Things (IoT) is an emerging technology that has seen remarkable
blossom over the last years. The growing interest for IPv6 constrained networks has made …
blossom over the last years. The growing interest for IPv6 constrained networks has made …
A feature selection model for network intrusion detection system based on PSO, GWO, FFA and GA algorithms
O Almomani - Symmetry, 2020 - mdpi.com
The network intrusion detection system (NIDS) aims to identify virulent action in a network. It
aims to do that through investigating the traffic network behavior. The approaches of data …
aims to do that through investigating the traffic network behavior. The approaches of data …
A systematic literature review on swarm intelligence based intrusion detection system: past, present and future
Swarm Intelligence (SI) has proven to be useful in solving issues that are difficult to solve
using traditional mathematical methodologies by using a collective behavior of a …
using traditional mathematical methodologies by using a collective behavior of a …
Towards model generalization for intrusion detection: Unsupervised machine learning techniques
Through the ongoing digitization of the world, the number of connected devices is
continuously growing without any foreseen decline in the near future. In particular, these …
continuously growing without any foreseen decline in the near future. In particular, these …
A hybrid machine learning method for increasing the performance of network intrusion detection systems
AA Megantara, T Ahmad - Journal of Big Data, 2021 - Springer
The internet has grown enormously for many years. It is not just connecting computer
networks but also a group of devices worldwide involving big data. The internet provides an …
networks but also a group of devices worldwide involving big data. The internet provides an …
A detailed analysis of benchmark datasets for network intrusion detection system
The enormous increase in the use of the Internet in daily life has provided an opportunity for
the intruder attempt to compromise the security principles of availability, confidentiality, and …
the intruder attempt to compromise the security principles of availability, confidentiality, and …
Intrusion detection system using deep learning for in-vehicle security
J Zhang, F Li, H Zhang, R Li, Y Li - Ad Hoc Networks, 2019 - Elsevier
With the development of vehicle intelligence technology, the combination of network and
vehicle becomes inevitable, which brings much convenience to people. At the same time …
vehicle becomes inevitable, which brings much convenience to people. At the same time …
Developing a multi-level intrusion detection system using hybrid-DBN
AA Süzen - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
In this study, a hybrid deep belief network (DBN) cyber intrusion detection system was
proposed to provide a secure network by controlling network traffic in Industrial control …
proposed to provide a secure network by controlling network traffic in Industrial control …
A distributed collaborative entrance Defense framework against DDoS attacks on satellite internet
Satellite Internet (SI) dramatically expanded the ground-based Internet, and it is also the
future direction of 6G. However, due to limited computing power and bandwidth resources …
future direction of 6G. However, due to limited computing power and bandwidth resources …
A survey on performance evaluation of artificial intelligence algorithms for improving IoT security systems
H Meziane, N Ouerdi - Scientific Reports, 2023 - nature.com
Security is an important field in the Internet of Things (IoT) systems. The IoT and security are
topical domains. Because it was obtained 35,077 document results from the Scopus …
topical domains. Because it was obtained 35,077 document results from the Scopus …