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Formal modeling and verification of sensor network encryption protocol in the OTS/CafeOBJ method

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dc.contributor.author Ouranos, I en
dc.contributor.author Stefaneas, P en
dc.contributor.author Ogata, K en
dc.date.accessioned 2014-03-01T02:46:48Z
dc.date.available 2014-03-01T02:46:48Z
dc.date.issued 2010 en
dc.identifier.issn 03029743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32859
dc.subject Algebraic Specification en
dc.subject CafeOBJ en
dc.subject Formal Verification en
dc.subject Observational Transition Systems en
dc.subject Security en
dc.subject Wireless Sensor Networks en
dc.subject.other Algebraic specifications en
dc.subject.other CafeOBJ en
dc.subject.other Formal Verification en
dc.subject.other Observational transition systems en
dc.subject.other Security en
dc.subject.other Wireless sensor en
dc.subject.other Algebra en
dc.subject.other Cryptography en
dc.subject.other Formal methods en
dc.subject.other Network protocols en
dc.subject.other Network security en
dc.subject.other Sensor networks en
dc.subject.other Specifications en
dc.subject.other Wireless sensor networks en
dc.title Formal modeling and verification of sensor network encryption protocol in the OTS/CafeOBJ method en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-642-16558-0_9 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-642-16558-0_9 en
heal.publicationDate 2010 en
heal.abstract Sensor Network Encryption Protocol (SNEP) is one of the secure building blocks of the SPINS Protocol Suite and provides data confidentiality, two-party data authentication and evidence of data freshness in a wireless sensor network. We have formally analyzed SNEP and a node-to-node key agreement protocol based on it, using the OTS/CafeOBJ method. Among other invariants, we have verified that the protocols possess the important security properties of authenticity and confidentiality of relevant message components. To our knowledge, we are the first to formally analyze SNEP using algebraic specification techniques. © 2010 Springer-Verlag. en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.doi 10.1007/978-3-642-16558-0_9 en
dc.identifier.volume 6415 LNCS en
dc.identifier.issue PART 1 en
dc.identifier.spage 75 en
dc.identifier.epage 89 en


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