Combinatorial Subset Difference-IoT-Friendly Subset Representation and Broadcast Encryption
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jiwon | - |
dc.contributor.author | Lee, Seunghwa | - |
dc.contributor.author | Kim, Jihye | - |
dc.contributor.author | Oh, Hyunok | - |
dc.date.accessioned | 2021-08-03T02:55:13Z | - |
dc.date.available | 2021-08-03T02:55:13Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2020-06 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/32778 | - |
dc.description.abstract | In the Internet of Things (IoT) systems, it is often required to deliver a secure message to a group of devices. The public key broadcast encryption is an efficient primitive to handle IoT broadcasts, by allowing a user (or a device) to broadcast encrypted messages to a group of legitimate devices. This paper proposes an IoT-friendly subset representation called Combinatorial Subset Difference (CSD), which generalizes the existing subset difference (SD) method by allowing wildcards (*) in any position of the bitstring. Based on the CSD representation, we first propose an algorithm to construct the CSD subset, and a CSD-based public key broadcast encryption scheme. By providing the most general subset representation, the proposed CSD-based construction achieves a minimal header size among the existing broadcast encryption. The experimental result shows that our CSD saves the header size by 17% on average and more than 1000 times when assuming a specific IoT example of IP address with 20 wildcards and 2(20) total users, compared to the SD-based broadcast encryption. We prove the semantic security of CSD-based broadcast encryption under the standard l-BDHE assumption, and extend the construction to a chosen-ciphertext-attack (CCA)-secure version. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.title | Combinatorial Subset Difference-IoT-Friendly Subset Representation and Broadcast Encryption | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Oh, Hyunok | - |
dc.identifier.doi | 10.3390/s20113140 | - |
dc.identifier.scopusid | 2-s2.0-85085921958 | - |
dc.identifier.wosid | 000552737900133 | - |
dc.identifier.bibliographicCitation | SENSORS, v.20, no.11, pp.1 - 26 | - |
dc.relation.isPartOf | SENSORS | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 20 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 26 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry | - |
dc.relation.journalWebOfScienceCategory | Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering | - |
dc.relation.journalWebOfScienceCategory | Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.subject.keywordPlus | IDENTITY-BASED ENCRYPTION | - |
dc.subject.keywordPlus | CHOSEN-CIPHERTEXT SECURITY | - |
dc.subject.keywordPlus | ATTRIBUTE-BASED ENCRYPTION | - |
dc.subject.keywordPlus | REVOCATION | - |
dc.subject.keywordPlus | SCHEMES | - |
dc.subject.keywordAuthor | broadcast encryption | - |
dc.subject.keywordAuthor | public key encryption | - |
dc.subject.keywordAuthor | IP multicast | - |
dc.subject.keywordAuthor | subset difference | - |
dc.subject.keywordAuthor | wildcard | - |
dc.identifier.url | https://www.mdpi.com/1424-8220/20/11/3140 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.