PwoP: Intrusion-Tolerant and Privacy-Preserving Sensor Fusion

dc.contributor.authorJin, Chenglu
dc.contributor.authorDijk, Marten van
dc.contributor.authorReiter, Michael K.
dc.contributor.authorZhang, Haibin
dc.date.accessioned2019-06-24T19:24:11Z
dc.date.available2019-06-24T19:24:11Z
dc.date.issued2018-12-06
dc.description.abstractWe design and implement, PwoP, an efficient and scalable system for intrusion-tolerant and privacy-preserving multi-sensor fusion. PwoP develops and unifies techniques from dependable distributed systems and modern cryptography, and in contrast to prior works, can 1) provably defend against pollution attacks where some malicious sensors lie about their values to sway the final result, and 2) perform within the computation and bandwidth limitations of cyber-physical systems. PwoP is flexible and extensible, covering a variety of application scenarios. We demonstrate the practicality of our system using Raspberry Pi Zero W, and we show that PwoP is efficient in both failure-free and failure scenarios.en
dc.description.sponsorshipThis work was partially supported by NSF grant CNS- 1413996 for MACS: A Modular Approach to Cloud Securityen
dc.description.urihttps://eprint.iacr.org/2018/1171en
dc.format.extent15 pagesen
dc.genrehttps://eprint.iacr.org/2018/1171en
dc.identifierdoi:10.13016/m2iqzh-movb
dc.identifier.citationChenglu Jin, et.al, PwoP: Intrusion-Tolerant and Privacy-Preserving Sensor Fusion, 2019, https://eprint.iacr.org/2018/1171en
dc.identifier.urihttp://hdl.handle.net/11603/14297
dc.language.isoenen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectIntrusion-Toleranten
dc.subjectPrivacy-Preservingen
dc.subjectSensor Fusionen
dc.subjectRaspberry Pi Zero Wen
dc.titlePwoP: Intrusion-Tolerant and Privacy-Preserving Sensor Fusionen
dc.typeTexten

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