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AuthorAbdaoui A.
AuthorErbad A.
AuthorAl-Ali A.
AuthorMohamed A.
AuthorGuizani M.
Available date2022-04-21T08:58:22Z
Publication Date2021
Publication NameIEEE Internet of Things Journal
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/JIOT.2021.3121350
URIhttp://hdl.handle.net/10576/30069
AbstractThe security and privacy of the network in Internet of Things (IoT) systems are becoming more critical as we are still more dependent on smart systems. 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 systems. In this paper, in order to improve the authentication and the encryption in IoT systems, we present a novel method of authentication and encryption based on elliptic curve cryptography (ECC) using random numbers generated by fuzzy logic. We evaluate our novel key generation method by 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 compared to existing ECC based on shift registers. In addition, we apply some attack algorithms such as Pollard’s ρ and Baby-step Giant-step to evaluate the vulnerability of the proposed scheme. IEEE
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectAuthentication
Computer circuits
Discrete Fourier transforms
Fuzzy logic
Geometry
Internet of things
Network security
Number theory
Random number generation
Shift registers
Testing
Frequency tests
Fuzzy-Logic
Pollard&#x2019
Pseudo random number.
Pseudo-random numbers
S &#x03c1
Security
Security and privacy
Smart System
Public key cryptography
TitleFuzzy Elliptic Curve Cryptography for Authentication in Internet of Things
TypeArticle
dc.accessType Abstract Only


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