Detection of user relationships in networks using self-organization approach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For the purpose of monitoring and knowing the extent of use of objects in the network, generally each network operation is stored for subsequent analysis to determine which objects and how often are they accessed and modified. The self-organization of such multi-state operations is used in this work to help clustering of relationships amongst users or between users and network objects; and enhance the performance of network management. The attributes of involved users used in clustering helps in generating alerts well in advance due to misuse of objects. The experimental setup is built to demonstrate the effectiveness of this approach.

Original languageEnglish
Title of host publication10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
Pages401-404
Number of pages4
DOIs
Publication statusPublished - 2010
Event10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 - Kuala Lumpur, Malaysia
Duration: May 10 2010May 13 2010

Publication series

Name10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010

Other

Other10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
Country/TerritoryMalaysia
CityKuala Lumpur
Period5/10/105/13/10

Keywords

  • Relationship clustering
  • Relationship network
  • Self-organization in networks

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Signal Processing

Fingerprint

Dive into the research topics of 'Detection of user relationships in networks using self-organization approach'. Together they form a unique fingerprint.

Cite this