A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions

A Thakkar, R Lohiya - Artificial Intelligence Review, 2022 - Springer
With the increase in the usage of the Internet, a large amount of information is exchanged
between different communicating devices. The data should be communicated securely …

A systematic literature review for network intrusion detection system (IDS)

OH Abdulganiyu, T Ait Tchakoucht… - International journal of …, 2023 - Springer
With the recent increase in internet usage, the number of important, sensitive, confidential
individual and corporate data passing through internet has increasingly grown. With gaps in …

lIDS-SIoEL: intrusion detection framework for IoT-based smart environments security using ensemble learning

C Hazman, A Guezzaz, S Benkirane, M Azrour - Cluster Computing, 2023 - Springer
Smart cities are being enabled all around the world by Internet of Things (IoT) applications.
A smart city idea necessitates the integration of information and communication …

A new ensemble-based intrusion detection system for internet of things

A Abbas, MA Khan, S Latif, M Ajaz, AA Shah… - Arabian Journal for …, 2022 - Springer
The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few
years by drastically transforming human lives to automate their ordinary daily tasks. This is …

A hierarchical intrusion detection system based on extreme learning machine and nature-inspired optimization

A Alzaqebah, I Aljarah, O Al-Kadi - Computers & Security, 2023 - Elsevier
The surge in cyber-attacks has driven demand for robust Intrusion detection systems (IDSs)
to protect underlying data and sustain availability of network services. Detecting and …

Toward an intrusion detection model for IoT-based smart environments

C Hazman, A Guezzaz, S Benkirane… - Multimedia Tools and …, 2024 - Springer
Abstract Nowadays, modern Internet of Things (IoT) applications are enabling smart cities
across the world. They provide remote device monitoring, management, and control, and …

Intrusion detection in networks using cuckoo search optimization

M Imran, S Khan, H Hlavacs, FA Khan, S Anwar - Soft Computing, 2022 - Springer
One of the key problems for researchers and network managers is anomaly detection in
network traffic. Anomalies in network traffic might signal a network intrusion, requiring the …

Semi-supervised time series anomaly detection based on statistics and deep learning

JR Jiang, JB Kao, YL Li - Applied Sciences, 2021 - mdpi.com
Thanks to the advance of novel technologies, such as sensors and Internet of Things (IoT)
technologies, big amounts of data are continuously gathered over time, resulting in a variety …

Anomaly‐based intrusion detection systems: The requirements, methods, measurements, and datasets

S Hajj, R El Sibai, J Bou Abdo… - Transactions on …, 2021 - Wiley Online Library
With the Internet's unprecedented growth and nations' reliance on computer networks, new
cyber‐attacks are created every day as means for achieving financial gain, imposing …

Filter-based ensemble feature selection and deep learning model for intrusion detection in cloud computing

C Kavitha, TR Gadekallu, NK, BP Kavin, WC Lai - Electronics, 2023 - mdpi.com
In recent years, the high improvement in communication, Internet of Things (IoT) and cloud
computing have begun complex questioning in security. Based on the development …