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AuthorAbdaoui A.
AuthorErbad A.
AuthorAl-Ali A.
AuthorMohamed A.
AuthorGuizani M.
Available date2022-04-21T08:58:24Z
Publication Date2020
Publication NameProceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/CSCI51800.2020.00194
URIhttp://hdl.handle.net/10576/30081
AbstractThe security and privacy of the network in the Internet of Things is playing an important challenge for researchers and engineers. Considering that packets are exchanged between the end user and the sensing devices, it is then important to ensure the security, privacy and integrity of the transmitted data by designing a secure and a lightweight authentication protocol for the IoT environment. In this paper, we present a novel method of authentication and encryption based on Elliptic Curve Cryptography (ECC) and on random numbers generated by fuzzy logic for the improvement of the authentication and the encryption in IoT systems. We evaluate our novel key generation method using standard randomness tests such as: Frequency test, Frequency test with mono block, run test, discrete Fourier transform test and advanced discrete Fourier transform test. Our results show superior performance. 2020 IEEE.
SponsorQatar University;Western University;Industrial Research and Consultancy Centre
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectAuthentication
Computer circuits
Discrete Fourier transforms
Fuzzy logic
Geometry
Intelligent computing
Privacy by design
Public key cryptography
Random number generation
Testing
Elliptic curve cryptography
Elliptic Curve Cryptography(ECC)
Frequency tests
Internet of Things (IOT)
Lightweight authentication protocols
Randomness test
Security and privacy
Sensing devices
Internet of things
TitleKey Generation Based Fuzzy Logic and Elliptic Curve Cryptography for Internet of Things (IoT) Authentication
TypeConference Paper
Pagination1041-1047
dc.accessType Abstract Only


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