NDLI: Detecting Malicious Data Injections in Wireless Sensor Networks: A Survey

Content Provider	ACM Digital Library
Author	Illiano, Vittorio P. Lupu, Emil C.
Copyright Year	2015
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.
Starting Page	1
Ending Page	33
Page Count	33
File Format	PDF
ISSN	03600300
e-ISSN	15577341
DOI	10.1145/2818184
Journal	ACM Computing Surveys (CSUR)
Volume Number	48
Issue Number	2
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-10-12
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Wireless sensor networks Correlation Security
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computer Science

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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