Composition of hybrid deep learning model and feature optimization for intrusion detection system

A Henry, S Gautam, S Khanna, K Rabie, T Shongwe… - Sensors, 2023 - mdpi.com
Recently, with the massive growth of IoT devices, the attack surfaces have also intensified.
Thus, cybersecurity has become a critical component to protect organizational boundaries …

An efficient metaheuristic algorithm based feature selection and recurrent neural network for DoS attack detection in cloud computing environment

R SaiSindhuTheja, GK Shyam - Applied Soft Computing, 2021 - Elsevier
Abstract Detection of Denial of Service (DoS) attack is one of the most critical issues in cloud
computing. The attack detection framework is very complex due to the nonlinear thought of …

A supervised machine learning-based solution for efficient network intrusion detection using ensemble learning based on hyperparameter optimization

A Sarkar, HS Sharma, MM Singh - International Journal of Information …, 2023 - Springer
An efficient machine learning (ML) ensemble technique for categorizing Intrusion Detection
(ID) is proposed in this study. The tuning of the ML model's parameters is a critical topic …

A hybrid framework for intrusion detection in healthcare systems using deep learning

M Akshay Kumaar, D Samiayya… - Frontiers in Public …, 2022 - frontiersin.org
The unbounded increase in network traffic and user data has made it difficult for network
intrusion detection systems to be abreast and perform well. Intrusion Systems are crucial in e …

A review on intrusion detection system using machine learning techniques

US Musa, S Chakraborty… - 2021 International …, 2021 - ieeexplore.ieee.org
Computer networks are exposed to cyber related attacks due to the common usage of
internet, as the result of such, several intrusion detection systems (IDSs) were proposed by …

[HTML][HTML] Feature selection and ensemble-based intrusion detection system: an efficient and comprehensive approach

E Jaw, X Wang - Symmetry, 2021 - mdpi.com
The emergence of ground-breaking technologies such as artificial intelligence, cloud
computing, big data powered by the Internet, and its highly valued real-world applications …

Feature extraction and artificial intelligence-based intrusion detection model for a secure internet of things networks

JB Awotunde, S Misra - Illumination of artificial intelligence in cybersecurity …, 2022 - Springer
Security has been a concern in recent years, especially in the Internet of Things (IoT) system
environment, where security and privacy are of great importance. Our lives have significantly …

Federated learning for decentralized DDoS attack detection in IoT networks

Y Alhasawi, S Alghamdi - IEEE Access, 2024 - ieeexplore.ieee.org
In the ever-expanding domain of Internet of Things (IoT) networks, Distributed Denial of
Service (DDoS) attacks represent a significant challenge, compromising the reliability of …

Securing Cloud Computing Environment via Optimal Deep Learning-based Intrusion Detection Systems

DPR Sanagana… - 2024 Second International …, 2024 - ieeexplore.ieee.org
Cloud computing (CC) has revolutionized the way businesses operate, providing
unparalleled scalability and flexibility. However, security concerns loom large with the large …

A hierarchical intrusion detection model combining multiple deep learning models with attention mechanism

H Xu, L Sun, G Fan, W Li, G Kuang - IEEE Access, 2023 - ieeexplore.ieee.org
In order to ensure the security of computer systems and networks, it is very important to
design and implement intrusion detection systems that can detect and mitigate network …