[HTML][HTML] An improved binary manta ray foraging optimization algorithm based feature selection and random forest classifier for network intrusion detection

IH Hassan, M Abdullahi, MM Aliyu, SA Yusuf… - Intelligent Systems with …, 2022 - Elsevier
The growth within the Internet and communications areas have led to a massive surge in the
dimension of network and data. Consequently, several new threats are being created and …

M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning

AV Turukmane, R Devendiran - Computers & Security, 2024 - Elsevier
The intrusions are increasing daily, so there is a huge amount of privacy violations, financial
loss, illegal transferring of information, etc. Various forms of intrusion occur in networks, such …

Remora whale optimization-based hybrid deep learning for network intrusion detection using CNN features

SV Pingale, SR Sutar - Expert Systems with Applications, 2022 - Elsevier
Security remains as a key role in this internet world owing to the fast expansion of users on
the internet. Numerous existing intrusion detection approaches were introduced by …

A lightweight intelligent network intrusion detection system using OCSVM and Pigeon inspired optimizer

H Alazzam, A Sharieh, KE Sabri - Applied Intelligence, 2022 - Springer
Due to the widespread of Internet services, all around the world, service providers are facing
a major problem defending their systems, especially from new breaches and attacks …

Hybrid strategy improved sparrow search algorithm in the field of intrusion detection

L Tao, M Xueqiang - IEEE Access, 2023 - ieeexplore.ieee.org
Aiming at the problem that Sparrow Search Algorithm (SSA) may fall into local optima and
have slow convergence speed, a hybrid strategy improved sparrow search algorithm …

A new intrusion detection system based on Moth–Flame Optimizer algorithm

M Alazab, RA Khurma, A Awajan… - Expert Systems with …, 2022 - Elsevier
This study relies on using a Moth–Flame Optimization (MFO) method as a search algorithm
and a Decision Tree (DT) as an evaluation algorithm to generate an efficient feature subset …

LNNLS‐KH: A Feature Selection Method for Network Intrusion Detection

X Li, P Yi, W Wei, Y Jiang, L Tian - Security and …, 2021 - Wiley Online Library
As an important part of intrusion detection, feature selection plays a significant role in
improving the performance of intrusion detection. Krill herd (KH) algorithm is an efficient …

Intrusion detection in Internet of things using improved binary golden jackal optimization algorithm and LSTM

AV Hanafi, A Ghaffari, H Rezaei, A Valipour… - Cluster Computing, 2024 - Springer
Internet of things (IoT) technology has gained a reputation in recent years due to its ease of
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …

Building an efficient intrusion detection system based on feature selection and ensemble classifier

Y Zhou, G Cheng, S Jiang, M Dai - Computer networks, 2020 - Elsevier
Intrusion detection system (IDS) is one of extensively used techniques in a network topology
to safeguard the integrity and availability of sensitive assets in the protected systems …

A reliable network intrusion detection approach using decision tree with enhanced data quality

A Guezzaz, S Benkirane, M Azrour… - Security and …, 2021 - Wiley Online Library
Due to the recent advancements in the Internet of things (IoT) and cloud computing
technologies and growing number of devices connected to the Internet, the security and …