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dc.contributor.authorLee, Wai-Kong
dc.contributor.authorGoi, Bok-Min
dc.contributor.authorWong, Denis Chee-Keong
dc.contributor.authorYap, Wun-She
dc.contributor.authorAkleylek, Sedat
dc.date.accessioned2020-06-21T13:12:04Z
dc.date.available2020-06-21T13:12:04Z
dc.date.issued2018
dc.identifier.isbn978-1-5386-9380-3
dc.identifier.urihttps://doi.org/10.1109/SmartWorld.2018.00322
dc.identifier.urihttps://hdl.handle.net/20.500.12712/11814
dc.descriptionIEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) -- NOV 07-11, 2018 -- Guangzhou, PEOPLES R CHINAen_US
dc.descriptionWong, Denis C.K./0000-0002-7985-3449en_US
dc.descriptionWOS: 000458742900286en_US
dc.description.abstractInternet of People involves a lot of data collection and analysis on human activities, which can pose serious privacy and security issues. Public key cryptography is widely used to securely send secret keys from sensor nodes to cloud server for subsequent decryption of sensors data. However, many popular public key encryption schemes (e.g. RSA and ECC) is deemed insecure in near future, due to algorithms miming on quantum computers. In this paper, we present the implementation of high throughput NTRU encryption scheme in GPU, which can be used to secure the IoP communication against the quantum computer attack On a GTX1080 NVIDIA GPU, our implementation can achieve 508,541 encryptions per second, which is capable in handling massive concurrent secure connections. According to the experimental results, Karatsuba polynomial multiplication proposed in this paper receives 20.6% improvement compared to the flat form implementation. Our implementation is constant time, which provides side channel resistant compared to the other work that utilizes product form and sparse form polynomial multiplication. The proposed solution can be used to secure communication between two parties, which is important for applications like smart home, biometric authentications and body area networken_US
dc.description.sponsorshipIEEE Comp Soc, Guangzhou Univen_US
dc.description.sponsorshipMalaysia Fundamental Research Grant Scheme [FRGS/2017/STG06/UTAR/02/2, FRGS/1/2016/ICT04/UTAR/01/1, FRGS/1/2016/ICT02/UTAR/03/1]; TUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [117E636]en_US
dc.description.sponsorshipThe research work presented in this paper is partially supported by Malaysia Fundamental Research Grant Scheme with project code FRGS/2017/STG06/UTAR/02/2, FRGS/1/2016/ICT04/UTAR/01/1 and FRGS/1/2016/ICT02/UTAR/03/1. Sedat Akleylek is partially supported by TUBITAK under grant no.117E636.en_US
dc.language.isoengen_US
dc.publisherIeeeen_US
dc.relation.isversionof10.1109/SmartWorld.2018.00322en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInternet of Thingsen_US
dc.subjectpost -quantum cryptographyen_US
dc.subjectGPUen_US
dc.subjectNTRUen_US
dc.titleFast NTRU Encryption in GPU for Secure IoP Communication in Post-quantum Eraen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentOMÜen_US
dc.identifier.startpage1923en_US
dc.identifier.endpage1928en_US
dc.relation.journal2018 Ieee Smartworld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (Smartworld/Scalcom/Uic/Atc/Cbdcom/Iop/Sci)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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