Performance anomaly detection and bottleneck identification

O Ibidunmoye, F Hernández-Rodriguez… - ACM Computing Surveys …, 2015 - dl.acm.org
In order to meet stringent performance requirements, system administrators must effectively
detect undesirable performance behaviours, identify potential root causes, and take …

Model-based and data-driven fault detection performance for a small UAV

P Freeman, R Pandita, N Srivastava… - … ASME Transactions on …, 2013 - ieeexplore.ieee.org
Fault detection and identification algorithms may rely on knowledge of underlying system
dynamics while some eschew this modeling in favor of data-driven anomaly detection. This …

Reliability assessment for low-cost unmanned aerial vehicles

PM Freeman - 2014 - search.proquest.com
Existing low-cost unmanned aerospace systems are unreliable, and engineers must blend
reliability analysis with fault-tolerant control in novel ways. This dissertation introduces the …

Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks

M Katzef, AC Cullen, T Alpcan, C Leckie… - arXiv preprint arXiv …, 2023 - arxiv.org
The analysis of distributed techniques is often focused upon their efficiency, without
considering their robustness (or lack thereof). Such a consideration is particularly important …

Real anomaly detection in telecommunication multidimensional data using data mining techniques

K Choroś - … , ICCCI 2010, Kaohsiung, Taiwan, November 10-12 …, 2010 - Springer
The tremendous amount of data are generated and collected by telecommunication
companies. These data include call detail data which describe the calls traversing the …

[PDF][PDF] Improving the Capabilities of Distributed Collaborative Intrusion Detection Systems using Machine Learning

C Garcia Cordero - core.ac.uk
The impact of computer networks on modern society cannot be estimated. Arguably,
computer networks are one of the core enablers of the contemporary world. Large computer …