337 0

Full metadata record

DC FieldValueLanguage
dc.contributor.author서승현-
dc.date.accessioned2018-06-04T07:39:04Z-
dc.date.available2018-06-04T07:39:04Z-
dc.date.issued2017-03-
dc.identifier.citationIEEE ACCESS, v. 5, Page. 3721-3749en_US
dc.identifier.issn2169-3536-
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/7882678/-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/71833-
dc.description.abstractSmart cities aim to improve the quality of urban services and their energy efficiency by utilizing information and communication technologies. In such context, drones can be utilized to support various services, such as traffic monitoring, search/rescue, and surveillance, by communicating with many different smart objects like sensors. Securing such communications is crucial to making correct decisions and requires efficient cryptographic protocols. However, the design of such protocols must consider: 1) the mobility and the limited battery of drones and 2) the constrained resources of smart objects. In this paper, a suite of cryptographic protocols is presented to deal with three different communication scenarios: one-to-one, one-to-many, and many-to-one. For one-to-one, we propose an efficient Certificateless Signcryption Tag Key Encapsulation Mechanism (eCLSC-TKEM) that supports authenticated key agreement, non-repudiation, and user revocation. eCLSC-TKEM reduces the time required to establish a shared key between a drone and a smart object by minimizing the computational overhead at the smart object. For one-to-many, we propose a Certificateless Multi-Recipient Encryption Scheme (CL-MRES) by which a drone can efficiently send privacy-sensitive data to multiple smart objects. For many-to-one, we present a Certificateless Data Aggregation (CLDA) protocol, which allows drones to efficiently collect data from hundreds of smart objects. Also, for efficiency, we propose a dual channel strategy that allows many smart objects to concurrently execute our protocols. We evaluate eCLSC-TKEM via a smart parking management test-bed. Also, we have implemented CL-MRES and CLDA on a board with a graphics processing unit (GPU) and show their GPU-accelerated performance.en_US
dc.description.sponsorshipThis work was supported in part by the Purdue Cyber Center, in part by the National Science Foundation under Grant ACI-1547358, and in part by the National Research Foundation of Korea grant funded by the Korean government under Grant 2015R1C1A1A01052491. This paper was presented at the ACM Asia Conference on Computer and Communications Security 2015 [1].en_US
dc.language.isoen_USen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_US
dc.subjectCertificateless cryptographyen_US
dc.subjectcertificateless signcryptionen_US
dc.subjectdata collectionen_US
dc.subjectdroneen_US
dc.subjectsmart cityen_US
dc.titleCertificateless Cryptographic Protocols for Efficient Drone-Based Smart City Applicationsen_US
dc.typeArticleen_US
dc.relation.volume5-
dc.identifier.doi10.1109/ACCESS.2017.2684128-
dc.relation.page3721-3749-
dc.relation.journalIEEE ACCESS-
dc.contributor.googleauthorWon, Jongho-
dc.contributor.googleauthorSeo, Seung-Hyun-
dc.contributor.googleauthorBertino, Elisa-
dc.relation.code2017011602-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDIVISION OF ELECTRICAL ENGINEERING-
dc.identifier.pidseosh77-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE