DocumentCode
3008807
Title
Catching "Moles" in Sensor Networks
Author
Ye, Fan ; Yang, Hao ; Liu, Zhen
Author_Institution
T.J. Watson Res. Center, IBM, Hawthorne, NY
fYear
2007
fDate
25-27 June 2007
Firstpage
69
Lastpage
69
Abstract
False data injection is a severe attack that compromised sensor nodes ("moles"1) can launch. These moles inject large amount of bogus traffic that can lead to application failures and exhausted network resources. Existing sensor network security proposals only passively mitigate the damage by filtering injected packets; they do not provide active means for fight back. This paper studies how to locate such moles within the framework of packet marking, when forwarding moles collude with source moles to manipulate the marks. Existing Internet traceback mechanisms do not assume compromised forwarding nodes and are easily defeated by manipulated marks. We propose a probabilistic nested marking (PNM) scheme that is secure against such colluding attacks. No matter how colluding moles manipulate the marks, PNM can always locate them one by one. We prove that nested marking is both sufficient and necessary to resist colluding attacks. PNM also has fast-traceback: within about 50 packets, it can track down a mole up to 20 hops away from the sink. This virtually prevents any effective data injection attack: moles will be caught before they have injected any meaningful amount of bogus traffic.
Keywords
Internet; telecommunication security; wireless sensor networks; Internet traceback mechanisms; false data injection; network security; packet marking; probabilistic nested marking; sensor networks; Bandwidth; Data security; Floods; Information filtering; Information filters; Internet; Proposals; Protection; Resists; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing Systems, 2007. ICDCS '07. 27th International Conference on
Conference_Location
Toronto, ON
ISSN
1063-6927
Print_ISBN
0-7695-2837-3
Electronic_ISBN
1063-6927
Type
conf
DOI
10.1109/ICDCS.2007.89
Filename
4268222
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