Tru-alarm: Trustworthiness analysis of sensor networks in cyber-physical systems

Lu An Tang*, Xiao Yu, Sangkyum Kim, Jiawei Han, Chih Chieh Hung, Wen-Chih Peng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

72 Scopus citations

Abstract

A Cyber-Physical System (CPS) integrates physical devices (e.g., sensors, cameras) with cyber (or informational) components to form a situation-integrated analytical system that responds intelligently to dynamic changes of the real-world scenarios. One key issue in CPS research is trustworthiness analysis of the observed data: Due to technology limitations and environmental influences, the CPS data are inherently noisy that may trigger many false alarms. It is highly desirable to sift meaningful information from a large volume of noisy data. In this paper, we propose a method called Tru-Alarm which finds out trustworthy alarms and increases the feasibility of CPS. Tru-Alarm estimates the locations of objects causing alarms, constructs an object-alarm graph and carries out trustworthiness inferences based on linked information in the graph. Extensive experiments show that Tru-Alarm filters out noises and false information efficiently and guarantees not missing any meaningful alarms.

Original languageEnglish
Title of host publicationProceedings - 10th IEEE International Conference on Data Mining, ICDM 2010
Pages1079-1084
Number of pages6
DOIs
StatePublished - 1 Dec 2010
Event10th IEEE International Conference on Data Mining, ICDM 2010 - Sydney, NSW, Australia
Duration: 14 Dec 201017 Dec 2010

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Conference

Conference10th IEEE International Conference on Data Mining, ICDM 2010
CountryAustralia
CitySydney, NSW
Period14/12/1017/12/10

Fingerprint Dive into the research topics of 'Tru-alarm: Trustworthiness analysis of sensor networks in cyber-physical systems'. Together they form a unique fingerprint.

Cite this