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Verifying security protocols for sensor networks using algebraic specification techniques

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dc.contributor.author Ouranos, I en
dc.contributor.author Stefaneas, P en
dc.date.accessioned 2014-03-01T02:45:00Z
dc.date.available 2014-03-01T02:45:00Z
dc.date.issued 2007 en
dc.identifier.issn 03029743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32088
dc.subject Algebraic specification and verification en
dc.subject CafeOBJ en
dc.subject Observational transition systems en
dc.subject Sensor networks en
dc.subject SPINS protocol suite en
dc.subject.other Algebraic specification en
dc.subject.other Formal specification en
dc.subject.other Observational transition systems en
dc.subject.other Sensor network encryption protocol (SNEP) en
dc.subject.other SPINS protocol suite en
dc.subject.other Formal methods en
dc.subject.other Network protocols en
dc.subject.other Security of data en
dc.subject.other Verification en
dc.subject.other Sensor networks en
dc.title Verifying security protocols for sensor networks using algebraic specification techniques en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-540-75414-5_16 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-540-75414-5_16 en
heal.publicationDate 2007 en
heal.abstract Algebraic specification languages are formal methods that provide a rigorous basis for modeling of several systems. Security protocols are safety critical systems that need to be verified before their implementation. In this paper we have formally specified sensor network encryption protocol (SNEP) and a key agreement protocol for sensor networks, both from the SPINS protocol suite, with the OTS/CafeOBJ method, a well known formal specification technique applied not only in research, but also in industry. Based on this specification, we have proved that each protocol possesses an important safety(invariant) property. © Springer-Verlag Berlin Heidelberg 2007. en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.doi 10.1007/978-3-540-75414-5_16 en
dc.identifier.volume 4728 LNCS en
dc.identifier.spage 247 en
dc.identifier.epage 259 en


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