[PDF][PDF] A Comparative Study of Deep Neural Networks and Support Vector Machines for Unsupervised Anomaly Detection in Cloud Computing Environments

T Arjunan - International Journal for Research in Applied Science …, 2024 - researchgate.net
Cloud computing is now ubiquitous and provides convenient access to computing resources
on demand. Cloud environments are complex and prone to faults, which can have a …

A Comparative Study of Deep Neural Networks and Support Vector Machines for Unsupervised Anomaly Detection in Cloud Computing Environments

A Hassan, 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, the complexity of cloud environments makes them prone to …

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 …

Reconstruction-based anomaly detection for the cloud: A comparison on the yahoo! webscope s5 dataset

T Hagemann, K Katsarou - Proceedings of the 2020 4th International …, 2020 - dl.acm.org
The detection of anomalies in cloud metrics is an important way to identify suspicious data
instances that indicate a system problem such as hardware failures, performance …

Machine learning based cloud computing anomalies detection

Z Chkirbene, A Erbad, R Hamila, A Gouissem… - IEEE …, 2020 - ieeexplore.ieee.org
Recently, machine learning algorithms have been proposed to design new security systems
for anomalies detection as they exhibit fast processing with real-time predictions. However …

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 …

[PDF][PDF] An Efficient Unsupervised Learning Approach for Detecting Anomaly in Cloud.

P Sherubha, SP Sasirekha, ADK Anguraj… - Comput. Syst. Sci …, 2023 - cdn.techscience.cn
The Cloud system shows its growing functionalities in various industrial applications. The
safety towards data transfer seems to be a threat where Network Intrusion Detection System …

[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 …

A systematic review on anomaly detection for cloud computing environments

T Hagemann, K Katsarou - Proceedings of the 2020 3rd Artificial …, 2020 - dl.acm.org
The detection of anomalies in data is a far-reaching field of research which also applies to
the field of cloud computing in several different ways: from the detection of various types of …

Cloud-based multiclass anomaly detection and categorization using ensemble learning

F Shahzad, A Mannan, AR Javed, AS Almadhor… - Journal of Cloud …, 2022 - Springer
The world of the Internet and networking is exposed to many cyber-attacks and threats. Over
the years, machine learning models have progressed to be integrated into many scenarios …