Deep learning-based intrusion detection systems: a systematic review

J Lansky, S Ali, M Mohammadi, MK Majeed… - IEEE …, 2021 - ieeexplore.ieee.org
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …

Computational intelligence intrusion detection techniques in mobile cloud computing environments: Review, taxonomy, and open research issues

S Shamshirband, M Fathi, AT Chronopoulos… - Journal of Information …, 2020 - Elsevier
With the increasing utilization of the Internet and its provided services, an increase in cyber-
attacks to exploit the information occurs. A technology to store and maintain user's …

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 …

Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey

PLS Jayalaxmi, R Saha, G Kumar, M Conti… - IEEE Access, 2022 - ieeexplore.ieee.org
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …

Security threats, defense mechanisms, challenges, and future directions in cloud computing

S El Kafhali, I El Mir, M Hanini - Archives of Computational Methods in …, 2022 - Springer
Several new technologies such as the smart cities, the Internet of Things (IoT), and 5G
Internet need services offered by cloud computing for processing and storing more …

A new hybrid approach for intrusion detection using machine learning methods

Ü Çavuşoğlu - Applied Intelligence, 2019 - Springer
In this study, a hybrid and layered Intrusion Detection System (IDS) is proposed that uses a
combination of different machine learning and feature selection techniques to provide high …

[HTML][HTML] Intrusion detection system in cloud environment: Literature survey & future research directions

S Lata, D Singh - International Journal of Information Management Data …, 2022 - Elsevier
The cloud provides infrastructure, applications, and storage services to users that need to be
protected by some policies or procedures. Hence, security in the cloud is to protect user data …

A new threat intelligence scheme for safeguarding industry 4.0 systems

N Moustafa, E Adi, B Turnbull, J Hu - IEEE Access, 2018 - ieeexplore.ieee.org
Industry 4.0 represents the fourth phase of industry and manufacturing revolution, unique in
that it provides Internet-connected smart systems, including automated factories …

Network intrusion detection using ACO-DNN model with DVFS based energy optimization in cloud framework

JK Samriya, R Tiwari, X Cheng, RK Singh… - … Informatics and Systems, 2022 - Elsevier
Recent technologies and innovations have encouraged users to adopt cloud-based
environment. Network intrusion detection (NID) is an important method for network system …

Distributed denial of service attacks in cloud: State-of-the-art of scientific and commercial solutions

A Bhardwaj, V Mangat, R Vig, S Halder… - Computer Science Review, 2021 - Elsevier
Cloud computing model provides on demand, elastic and fully managed computer system
resources and services to organizations. However, attacks on cloud components can cause …