Leveraging feature subset selection with deer hunting optimizer based deep learning for anomaly detection in secure cloud environment

VS Bai, M Punithavalli - Multimedia Tools and Applications, 2024 - Springer
Cloud computing (CC) was extremely implemented by the application service providers
(ASP) and enterprises for reducing either operational or capital expenditures. Services and …

[PDF][PDF] Anomaly detection and categorization in cloud environment using deep learning Techniques

N Thakkar, M Karamta, S Joshi… - Int. J. Comput. Sci. Eng …, 2019 - researchgate.net
Accepted: 08/May/2019, Published: 31/May/2019 Abstract—Cloud computing is a paradigm
that allows on-demand network access to a shared pool of configurable and reliable …

Enhancing Security in Cloud Computing With Anomaly Detection Using Random Forest

A Gupta, RB Simon - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
Enhancing security in cloud computing represents a crucial initiative that leverages cutting-
edge techniques and equipment to identify and thwart malicious activities. An integral …

Combating the Challenges of False Positives in AI-Driven Anomaly Detection Systems and Enhancing Data Security in the Cloud

OO Olateju, SU Okon, UTGI Igwenagu… - Asian Journal of …, 2024 - eprints.ditdo.in
Anomaly detection is critical for network security, fraud detection, and system health
monitoring applications. Traditional methods like statistical approaches and distance-based …

[PDF][PDF] Hybrid Multi-Objective Deep Learning Model for Anomaly Detection in Cloud Computing Environment

RR Palle - International Journal of Scientific Research in Science …, 2015 - academia.edu
Cloud computing environments play a pivotal role in the IT landscape, seamlessly integrated
into the fabric of organizations and individuals' daily activities. Despite the myriad …

FD‐DBN: Flow directed deep belief network for accurate anomaly detection in cloud computing

B Rajarao, M Sreenivasulu - International Journal of …, 2023 - Wiley Online Library
Security becomes the key concern in a cloud environment, as the servers are distributed
throughout the globe and involve the circulation of highly sensitive data. Intrusions in the …

UFKLDA: An unsupervised feature extraction algorithm for anomaly detection under cloud environment

GP Wang, JX Yang, R Li - Etri Journal, 2019 - Wiley Online Library
In a cloud environment, performance degradation, or even downtime, of virtual machines
(VMs) usually appears gradually along with anomalous states of VMs. To better characterize …

An optimized feature selection guided light-weight machine learning models for DDoS attacks detection in cloud computing

RR Papalkar, AS Alvi, S Ali, M Awasthy… - … and Security Volume 1, 2023 - taylorfrancis.com
The investigation highlights the need of lightweight machine learning models for efficient
and effective cloud based VNF intrusion detection. The study suggests utilising lightweight …

AI-Enhanced Cybersecurity: Machine Learning for Anomaly Detection in Cloud Computing

P Thapa, T Arjunan - Quarterly Journal of Emerging Technologies and …, 2024 - vectoral.org
Cloud computing has become ubiquitous, providing convenient on-demand access to
computing resources. However, security remains a major concern, as cloud environments …

Expedite feature extraction for enhanced cloud anomaly detection

BL Dalmazo, JP Vilela, P Simoes… - NOMS 2016-2016 IEEE …, 2016 - ieeexplore.ieee.org
Cloud computing is the latest trend in business for providing software, platforms and
services over the Internet. However, a widespread adoption of this paradigm has been …