Detecting Malicious Data Injections in Wireless Sensor Networks: a
Survey
Survey
File(s)MDISurvey.pdf (614.17 KB)
Accepted version
Author(s)
Illiano, VP
Lupu, EC
Type
Journal Article
Abstract
Wireless Sensor Networks are widely advocated to monitor environmental parameters, structural integrity of the built environment and use of urban spaces, services and utilities. However, embedded sensors are vulnerable to compromise by external actors through malware but also through their wireless and physical interfaces. Compromised sensors can be made to report false measurements with the aim to produce inappropriate and potentially dangerous responses. Such malicious data injections can be particularly difficult to detect if multiple sensors have been compromised as they could emulate plausible sensor behaviour such as failures or detection of events where none occur. This survey reviews the related work on malicious data injection in wireless sensor networks, derives general principles and a classification of approaches within this domain, compares related studies and identifies areas that require further investigation.
Date Issued
2015-10-01
Date Acceptance
2015-07-30
Citation
ACM Computing Surveys, 2015, 48 (2)
ISSN
1557-7341
Publisher
Association for Computing Machinery (ACM)
Journal / Book Title
ACM Computing Surveys
Volume
48
Issue
2
Copyright Statement
© ACM, 2015. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Computing Surveys , {VOL 48, ISS 2, (Oct 2015)} https://dx.doi.org/10.1145/2818184
Subjects
Security
Algorithms
Measurement
Wireless Sensor Networks
Correlation
Publication Status
Published
Article Number
24