Paper Info
Title
Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical Systems
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.
Year
DOI
Venue
2010
10.1109/ICDM.2010.63
ICDM
Keywords
Field
DocType
object-alarm graph,meaningful information,cyber physical system,alarm systems,meaningful alarm,cyber-physical systems,tru-alarm,computer network security,alarm detection,sensor networks,cps research,false information,false alarm,tru-alarm filter,cps data,wireless sensor networks,sensor networks trustworthiness analysis,situation-integrated analytical system,observed data,trustworthiness analysis,noisy data,network theory (graphs),noise,sensor network,cyber physical systems,noise measurement,coherence
Data mining,Graph,Scale-invariant feature transform,Noise measurement,ALARM,Computer science,Trustworthiness,Network security,Cyber-physical system,Artificial intelligence,Wireless sensor network,Machine learning
Conference
ISSN
ISBN
Citations 
1550-4786 E-ISBN : 978-0-7695-4256-0
978-0-7695-4256-0
35
PageRank 
References 
Authors
1.58
8
6
Name
Order
Citations
PageRank
Lu An Tang142727.74
Xiao Yu267928.10
Sangkyum Kim317810.54
Jiawei Han4430853824.48
Chih-Chieh Hung523312.17
Wen-Chih Peng61645106.49