Linear Regression Based DDoS Attack Detection
S Barbhuiya, P Kilpatrick… - Proceedings of the 2021 …, 2021 - dl.acm.org
DDoS attacks are increasing alongside the growth of web-based services. Existing research
proposes a number of anomaly-based techniques which analyse network traffic to detect …
proposes a number of anomaly-based techniques which analyse network traffic to detect …
A black-box approach for detecting systems anomalies in virtualized environments
O Ibidunmoye, EB Lakew… - … Conference on Cloud and …, 2017 - ieeexplore.ieee.org
Virtualization technologies allow cloud providers to optimize server utilization and cost by co-
locating services in as few servers as possible. Studies have shown how applications in …
locating services in as few servers as possible. Studies have shown how applications in …
Performance anomaly detection and resolution for autonomous clouds
O Ibidunmoye - 2017 - diva-portal.org
Fundamental properties of cloud computing such as resource sharing and on-demand self-
servicing is driving a growing adoption of the cloud for hosting both legacy and new …
servicing is driving a growing adoption of the cloud for hosting both legacy and new …
[PDF][PDF] Anomaly Detection on Longitudinal Data with Applications in Cloud & Healthcare
A Abubakar - 2023 - pure.qub.ac.uk
Over a decade, analysing longitudinal data has presented a challenge in meeting the
demands of extracting useful knowledge. For instance, as cloud/data centres grow in scale …
demands of extracting useful knowledge. For instance, as cloud/data centres grow in scale …
[PDF][PDF] Integrated Data Collection and Analysis Frameworks
Z Papazachos - academia.edu
CactoScale is a CACTOS component which provides monitoring and data analysis
functionality. This deliverable presents the integration of the algorithmic data analysis …
functionality. This deliverable presents the integration of the algorithmic data analysis …