Distance-based Trustworthiness Assessment for Sensors in Wireless Sensor Networks

Get BibTex-formatted data

Download

PDF

Author

Jongho Won, Elisa Bertino

Tech report number

CERIAS TR 2015-13

Entry type

article

Abstract

Wireless Sensor Networks (WSNs) have been substituting for human senses to make human lives better by monitoring the environment and providing intelligence. Collected sensor data are used to make decisions as a human does. Therefore, providing trustworthy sensor data is crucial to make correct decisions. However, faulty sensors can give in- correct information. In addition, since sensors are usually deployed in unattended areas and can be compromised, cryptographic approaches are insucient. To address this problem, we propose a distance-based trustworthiness assessment scheme. In our scheme, a centralized trust assessment module outputs an absolute trust score of each sensed value and the trust score of each sensor. The trust scores of sensed values are calculated based on the differences of sensed values provided by a sensor and its neighbors and the physical distances from the neighbors. Our simulation results show that our scheme outputs practical and accurate trust scores in a realistic environment where the sensed values of interest gradually change over the monitored areas.

Download

PDF

Date

2015 – 9 – 9

Key alpha

Bertino

Publication Date

2015-09-09

BibTex-formatted data

To refer to this entry, you may select and copy the text below and paste it into your BibTex document. Note that the text may not contain all macros that BibTex supports.

@Article{ Bertino,
	title = "Distance-based Trustworthiness Assessment for Sensors in Wireless Sensor Networks",
	author = "Jongho Won, Elisa Bertino",
	year = "2015",
	month = "9",
	day = "9",
	abstract = "Wireless Sensor Networks (WSNs) have been substituting
for human senses to make human lives better by monitoring the environment and providing intelligence. Collected sensor data are used to make
decisions as a human does. Therefore, providing trustworthy sensor data
is crucial to make correct decisions. However, faulty sensors can give in-
correct information. In addition, since sensors are usually deployed in
unattended areas and can be compromised, cryptographic approaches
are insucient. To address this problem, we propose a distance-based
trustworthiness assessment scheme. In our scheme, a centralized trust
assessment module outputs an absolute trust score of each sensed value
and the trust score of each sensor. The trust scores of sensed values are
calculated based on the differences of sensed values provided by a sensor
and its neighbors and the physical distances from the neighbors. Our
simulation results show that our scheme outputs practical and accurate
trust scores in a realistic environment where the sensed values of interest
gradually change over the monitored areas.",
}