2014
A protocol for intrusion detection in location privacy-aware wireless sensor networks
KŮR, Jiří a Václav MATYÁŠZákladní údaje
Originální název
A protocol for intrusion detection in location privacy-aware wireless sensor networks
Autoři
KŮR, Jiří (203 Česká republika, domácí) a Václav MATYÁŠ (203 Česká republika, garant, domácí)
Vydání
Heidelberg, Trust, Privacy, and Security in Digital Business, 11th International Conference, TrustBus 2014, od s. 180-190, 11 s. 2014
Nakladatel
Springer
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Německo
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
tištěná verze "print"
Impakt faktor
Impact factor: 0.402 v roce 2005
Kód RIV
RIV/00216224:14330/14:00073816
Organizační jednotka
Fakulta informatiky
ISBN
978-3-319-09769-5
ISSN
Klíčová slova anglicky
security protocol; intrusion detection; privacy; wireless sensor networks
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 27. 4. 2015 05:53, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
Wireless sensor networks come with some very challenging demands for security -- they often call for protection against active attackers trying to disrupt a network operation, but also against passive attackers looking for (potentially) sensitive information about the location of a certain node or about the movement of a tracked object. Selective forwarding is a basic yet powerful active attack. It can be detected using several existing techniques if enough information is available to an intrusion detection system. Yet when the system lacks the information due to a location privacy measure, selective forwarding detection becomes complicated. In this paper, we propose a method for detecting selective forwarding attacks and packet modification attacks concurrently with supporting location privacy. The resulting system counters a global eavesdropper capable of some active actions, such as dropping and modification of packets. We also evaluate detection accuracy of the proposed method on a small scale real-world sensor network.
Návaznosti
GAP202/11/0422, projekt VaV |
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