Online DDoS attack detection using Mahalanobis distance and Kernel-based learning algorithm

SD Çakmakçı, T Kemmerich, T Ahmed… - Journal of Network and …, 2020 - Elsevier
Distributed denial-of-service (DDoS) attacks are constantly evolving as the computer and
networking technologies and attackers' motivations are changing. In recent years, several …

Context-aware incremental clustering of alerts in monitoring systems

L Turgeman, Y Avrashi, G Vagner, N Azaizah… - Expert Systems with …, 2022 - Elsevier
The highly complex nature of today's modern hybrid IT applications continues to present an
increasing challenge for operation teams relying on traditional monitoring approaches. In …

Detection of DDoS attacks and flash events using Shannon entropy, KOAD and Mahalanobis distance

S Daneshgadeh, T Ahmed… - … 22nd Conference on …, 2019 - ieeexplore.ieee.org
The growing number of internet based services and applications along with increasing
adoption rate of connected wired and wireless devices presents opportunities as well as …

Automatic graph-based clustering for security logs

H Studiawan, C Payne, F Sohel - … of the 33rd International Conference on …, 2020 - Springer
Computer security events are recorded in several log files. It is necessary to cluster these
logs to discover security threats, detect anomalies, or identify a particular error. A problem …

The kernel-based online anomaly detection algorithm: Detailed derivation and development

S Daneshgadeh, T Ahmed… - Security Analytics for the …, 2020 - taylorfrancis.com
The evolution of intelligent computer networks, distributed processing facilities, range of
communication protocols, and arrays of smart devices has significantly raised the …

Development of a Method for Anomaly Detection in Time Series Applied to Vehicle Monitoring

P Garcia Vega - 2022 - publications.polymtl.ca
The objective of this project was to develop a method for detecting anomalies in time series,
applicable to vehicle monitoring. The detection of abnormal behaviors in the driving of …

[PDF][PDF] Forensic investigation of event logs by automatic anomaly detection

H Studiawan - 2020 - researchportal.murdoch.edu.au
Attacks on an operating system have become a significant and increasingly common
problem. This type of security incident is recorded in forensic artifacts, such as log files …

[PDF][PDF] A novel online approach to detect DDoS attacks using mahalanobis distance and Kernel-based learning

S Daneshgadeh Çakmakçi - 2019 - etd.lib.metu.edu.tr
Distributed denial-of-service (DDoS) attacks are continually evolving as the computer and
networking technologies and attackers' motivations are changing. In recent years, several …