DocumentCode :
2965750
Title :
PAST: Probabilistic Authentication of Sensor Timestamps
Author :
Gehani, Ashish ; Chandra, Surendar
Author_Institution :
Notre Dame Univ., IN
fYear :
2006
fDate :
Dec. 2006
Firstpage :
439
Lastpage :
448
Abstract :
Sensor networks are deployed to monitor the physical environment in public and vulnerable locations. It is not economically viable to house sensors in tamper-resilient enclosures as they are deployed in large numbers. As a result, an adversary can subvert the integrity of the data being produced by gaining physical access to a sensor and altering its code. If the sensor output is timestamped, then tainted data can be distinguished once the time of attack is determined. To prevent the adversary from generating fraudulent timestamps, the data must be authenticated using a forward-secure protocol. Previous work requires the computation of n hashes to verify the (n + 1)th reading. This paper describes PAST, a protocol that allows timestamps to be authenticated with high probability using a small constant number of readings. In particular, PAST is parameterized so that the metadata overhead (and associated power consumption) can be reduced at the cost of lower confidence in the authentication guarantee. Our protocol allows arbitrary levels of assurance for the integrity of timestamps (with logarithmically increasing storage costs) while tolerating any predefined fraction of compromised base stations. Unlike prior schemes, PAST does not depend on synchronized clocks
Keywords :
authorisation; protocols; sensor fusion; data authentication; forward-secure protocol; fraudulent timestamps; metadata overhead; power consumption; probabilistic authentication; sensor networks; sensor timestamps; tamper-resilient enclosures; Access protocols; Authentication; Base stations; Clocks; Costs; Energy consumption; Environmental economics; Monitoring; Power generation economics; Synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Security Applications Conference, 2006. ACSAC '06. 22nd Annual
Conference_Location :
Miami Beach, FL
ISSN :
1063-9527
Print_ISBN :
0-7695-2716-7
Type :
conf
DOI :
10.1109/ACSAC.2006.37
Filename :
4041188
Link To Document :
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