iNIDS: SWOT Analysis and TOWS Inferences of State-of-the-Art NIDS solutions for the development of Intelligent Network Intrusion Detection System

J Verma, A Bhandari, G Singh - Computer Communications, 2022 - Elsevier
Introduction: The growth of ubiquitous networked devices and the proliferation of
geographically dispersed 'Internet of Thing'devices have exponentially increased network …

MLEsIDSs: machine learning-based ensembles for intrusion detection systems—a review

G Kumar, K Thakur, MR Ayyagari - The Journal of Supercomputing, 2020 - Springer
Network security plays an essential role in secure communication and avoids financial loss
and crippled services due to network intrusions. Intruders generally exploit the flaws of …

Intrusion detection in cloud computing based on time series anomalies utilizing machine learning

AR Al-Ghuwairi, Y Sharrab, D Al-Fraihat… - Journal of Cloud …, 2023 - Springer
The growth of cloud computing is hindered by concerns about privacy and security. Despite
the widespread use of network intrusion detection systems (NIDS), the issue of false …

An improved intrusion detection system based on KNN hyperparameter tuning and cross-validation

R Wazirali - Arabian Journal for Science and Engineering, 2020 - Springer
As security violations increase, cybersecurity is a critical issue for any area of cyberspace. A
large number of zero-day attacks are taking place on a continuous basis due to the inclusion …

Intrusion detection systems in the cloud computing: A comprehensive and deep literature review

Z Liu, B Xu, B Cheng, X Hu… - … : Practice and Experience, 2022 - Wiley Online Library
Abrupt development of resources and rising expenses of infrastructure are leading
institutions to take on cloud computing. Albeit, the cloud environment is vulnerable to various …

A distributed intrusion detection approach based on machine leaning techniques for a cloud security

A Guezzaz, A Asimi, Y Asimi, M Azrour… - Intelligent Systems in Big …, 2021 - Springer
Nowadays, the rapid evolution of computer network and large amount of data which are
generated by systems require an accurate monitoring and high security of data and …

New anomaly network intrusion detection system in cloud environment based on optimized back propagation neural network using improved genetic algorithm

Z Chiba, N Abghour, K Moussaid… - International Journal …, 2019 - search.proquest.com
Cloud computing is distributed architecture, providing computing facilities and storage
resource as a service over an open environment (Internet), this lead to different matters …

Integration of recurrent convolutional neural network and optimal encryption scheme for intrusion detection with secure data storage in the cloud

V Prabhakaran, A Kulandasamy - Computational Intelligence, 2021 - Wiley Online Library
Data communication security is growing day after day with the proliferation of cloud
computing. It is primarily because of the few security constraints and challenges occurring in …

A systematic literature review of intrusion detection systems in the cloud‐based IoT environments

G Luo, Z Chen, BO Mohammed - … and Computation: Practice …, 2022 - Wiley Online Library
As the number of Internet of Things (IoT) subscribers, services, and applications grows, there
is a pressing need for a reliable and lightweight security solution that can be used in IoT …

Bayesian attack graphs for platform virtualized infrastructures in clouds

B Asvija, R Eswari, MB Bijoy - Journal of Information Security and …, 2020 - Elsevier
Virtualization security is an important aspect to be carefully addressed while provisioning
cloud services. In this paper, we propose a novel model using Bayesian Attack Graphs …