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 …
attacks to exploit the information occurs. A technology to store and maintain user's …
[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 …
protected by some policies or procedures. Hence, security in the cloud is to protect user data …
Intrusion detection for IoT based on improved genetic algorithm and deep belief network
With the advent of the Internet of Things (IoT), the security of the network layer in the IoT is
getting more and more attention. The traditional intrusion detection technologies cannot be …
getting more and more attention. The traditional intrusion detection technologies cannot be …
Cloud-based intrusion detection approach using machine learning techniques
H Attou, A Guezzaz, S Benkirane… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
Cloud computing (CC) is a novel technology that has made it easier to access network and
computer resources on demand such as storage and data management services. In …
computer resources on demand such as storage and data management services. In …
Intelligent approach to build a Deep Neural Network based IDS for cloud environment using combination of machine learning algorithms
The appealing features of Cloud Computing continue to fuel its adoption and its integration
in many sectors such industry, governments, education and entertainment. Nevertheless …
in many sectors such industry, governments, education and entertainment. Nevertheless …
[PDF][PDF] A Lightweight Hybrid Intrusion Detection Framework using Machine Learning for Edge-Based IIoT Security.
Due to the development of cloud computing and Internet of Things (IoT) environments, such
as healthcare systems, telecommunications and Industry 4.0 or Industrial IoT (IIoT) many …
as healthcare systems, telecommunications and Industry 4.0 or Industrial IoT (IIoT) many …
Towards an intelligent intrusion detection system to detect malicious activities in cloud computing
H Attou, M Mohy-eddine, A Guezzaz, S Benkirane… - Applied Sciences, 2023 - mdpi.com
Several sectors have embraced Cloud Computing (CC) due to its inherent characteristics,
such as scalability and flexibility. However, despite these advantages, security concerns …
such as scalability and flexibility. However, despite these advantages, security concerns …
A deep learning approach for proactive multi-cloud cooperative intrusion detection system
The last few years have witnessed the ability of cooperative cloud-based Intrusion Detection
Systems (IDS) in detecting sophisticated and unknown attacks associated with the complex …
Systems (IDS) in detecting sophisticated and unknown attacks associated with the complex …
Designing an efficient security framework for detecting intrusions in virtual network of cloud computing
Cloud computing has grown for various IT capabilities such as IoTs, Mobile Computing,
Smart IT, etc. However, due to the dynamic and distributed nature of cloud and …
Smart IT, etc. However, due to the dynamic and distributed nature of cloud and …
Network intrusion detection with a hashing based apriori algorithm using Hadoop MapReduce
Ubiquitous nature of Internet services across the globe has undoubtedly expanded the
strategies and operational mode being used by cybercriminals to perpetrate their unlawful …
strategies and operational mode being used by cybercriminals to perpetrate their unlawful …