Efficiently validating aggregated IoT data integrity

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We address the problem of validating the integrity of data aggregated in applications that run on the Internet of Things (IoT). When data from multiple sources is sent to a single receiver, the receiver needs to efficiently verify the authenticity and integrity of data. For example, sensors from multiple IoT devices would send the measurements to a gateway for data aggregation and/or processing. The gateway needs to verify the authenticity and integrity of the readings from sensors. To address this need, we propose a lightweight homomorphic signature scheme that supports the execution of aggregation operations. Our approach collects digital signatures from multiple sources and provides an efficient aggregated signature verification mechanism for the end receiver. The aggregation and verification mechanism preserves the privacy of intermediate nodes. We discuss how our homomorphic signature scheme resists forgery and replay attacks.

Original languageEnglish
Title of host publicationProceedings - IEEE 4th International Conference on Big Data Computing Service and Applications, BigDataService 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages260-265
Number of pages6
ISBN (Electronic)9781538651193
DOIs
Publication statusPublished - 5 Jul 2018
Externally publishedYes
Event4th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2018 - Bamberg, Germany
Duration: 26 Mar 201829 Mar 2018

Publication series

NameProceedings - IEEE 4th International Conference on Big Data Computing Service and Applications, BigDataService 2018

Conference

Conference4th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2018
Country/TerritoryGermany
CityBamberg
Period26/03/1829/03/18

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