Provenance and authentication of oracle sensor data with block chain lightweight wireless network authentication scheme for constrained oracle sensors

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dc.contributor.advisor Jutla, Dawn
dc.creator Gordon, Gilroy
dc.date.accessioned 2017-06-15T14:30:31Z
dc.date.available 2017-06-15T14:30:31Z
dc.date.issued 2017
dc.identifier.other TK5105.8857 G67 2017
dc.identifier.uri http://library2.smu.ca/handle/01/27013
dc.description x, 212 leaves : ill. (some col.) ; 29 cm
dc.description Includes abstract and appendices.
dc.description Includes bibliographical references (leaves 136-147).
dc.description.abstract With the significant increase in the dependence of contextual data from constrained IoT, the blockchain has been proposed as a possible solution to address growing concerns from organizations. To address this, the Lightweight Blockchain Authentication for Constrained Sensors (LBACS) scheme was proposed and evaluated using quantitative and qualitative methods. LBACS was designed with constrained Wireless Sensor Networks (WSN) in mind and independent of a blockchain implementation. It asserts the authentication and provenance of constrained IoT on the blockchain utilizing a multi-signature approach facilitated by symmetric and asymmetric methods and sufficient considerations for key and certificate registry management. The metrics, threat assessment and comparison to existing WSN authentication schemes conducted asserted the pragmatic use of LBACS to provide authentication, blockchain provenance, integrity, auditable, revocation, weak backward and forward secrecy and universal forgeability. The research has several implications for the ubiquitous use of IoT and growing interest in the blockchain. en_CA
dc.description.provenance Submitted by Greg Hilliard (greg.hilliard@smu.ca) on 2017-06-15T14:30:31Z No. of bitstreams: 1 Gordon_Gilroy_MASTERS_2017.pdf: 3748290 bytes, checksum: a1b951dba1352d64931bf6b6fab4180f (MD5) en
dc.description.provenance Made available in DSpace on 2017-06-15T14:30:31Z (GMT). No. of bitstreams: 1 Gordon_Gilroy_MASTERS_2017.pdf: 3748290 bytes, checksum: a1b951dba1352d64931bf6b6fab4180f (MD5) Previous issue date: 2017-01-31 en
dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.subject.lcc TK5105.8857
dc.subject.lcsh Internet of things
dc.subject.lcsh Computer networks -- Security measures
dc.subject.lcsh Wireless sensor networks
dc.subject.lcsh Blockchains (Databases)
dc.title Provenance and authentication of oracle sensor data with block chain lightweight wireless network authentication scheme for constrained oracle sensors en_CA
dc.title.alternative Lightweight wireless network authentication scheme for constrained oracle sensors
dc.type Text en_CA
thesis.degree.name Master of Science in Computing and Data Analytics
thesis.degree.level Masters
thesis.degree.discipline Computing and Data Analytics Program
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
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