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A learning approach for performance evaluation of local network

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In this paper, a novel approach is developed to evaluate the overall performance of a local area network as well as to monitor some possible intrusion detections. The data is obtained via system utility 'ping' and huge data is analyzed via statistical methods. Finally, an overall performance index is defined and simulation experiments in three months proved the effectiveness of the proposed performance index. A software package is developed based on these ideas. © 2003 IEEE.
Original languageEnglish
Title of host publication2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings
PublisherIEEE Computer Society
Pages608-614
Volume1
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Australia
Duration: 8 Dec 200312 Dec 2003

Publication series

Name2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings
Volume1

Conference

Conference2003 Congress on Evolutionary Computation, CEC 2003
PlaceAustralia
CityCanberra, ACT
Period8/12/0312/12/03

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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