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of 8
pro vyhledávání: '"Abdulsahib Albehadili"'
Autor:
Abdulsahib Albehadili, Ahmad Y. Javaid
Publikováno v:
Sensors, Vol 24, Iss 17, p 5670 (2024)
The authentication of wireless devices through physical layer attributes has attracted a fair amount of attention recently. Recent work in this area has examined various features extracted from the wireless signal to either identify a uniqueness in t
Externí odkaz:
https://doaj.org/article/f32a46390d8a486e9fe7e3f77b353c1a
Publikováno v:
IEEE Access, Vol 6, Pp 28137-28149 (2018)
The establishment of convenient and reliable cryptographic keys is not always feasible, especially in low-powered wireless devices where a complex key management infrastructure is unaffordable. Physical layer-based key generation approaches, on the o
Externí odkaz:
https://doaj.org/article/0370a00efbc34ce0a7d009cabfe812fa
Autor:
Fatimah K. Khalaf, Jacob Connolly, Bella Khatib-Shahidi, Abdulsahib Albehadili, Iman Tassavvor, Meghana Ranabothu, Noha Eid, Prabhatchandra Dube, Samer J. Khouri, Deepak Malhotra, Steven T. Haller, David J. Kennedy
Publikováno v:
International Journal of Molecular Sciences. 24:6881
Paraoxonase enzymes serve as an important physiological redox system that participates in the protection against cellular injury caused by oxidative stress. The PON enzymes family consists of three members (PON-1, PON-2, and PON-3) that share a simil
Publikováno v:
IEEE Transactions on Vehicular Technology. 69:8119-8131
In this work, we propose a physical layer security (PLS) scheme for orthogonal frequency-division multiplexing (OFDM) based transceivers, termed link-signature-based discriminatory channel estimation (LS-DCE). The proposed scheme exploits the space-t
Autor:
Ahmad Y. Javaid, Osama Hussein, Abdulsahib Albehadili, Mohammed Sarkhi, Junghwan Kim, Vijay Devabhaktuni
Publikováno v:
VTC-Fall
In this paper, a machine learning (ML) framework is devised for physical layer (PHY) authentication in mobile orthogonal frequency-division multiplexing (OFDM) transceivers. The ML framework utilizes various classification models that exploit feature
Autor:
Vijay Devabhaktuniz, Abdulsahib Albehadili, Ahmad Y. Javaid, Farha Jahan, Jared Oluochy, Atif Ali
Publikováno v:
WTS
A machine learning (ML) framework is proposed for primary user emulation attack (PUEA) detection in Cognitive Radio Networks (CRN). The ML framework is based on various classification models that exploit features extracted using the proposed Pattern
Publikováno v:
Wireless Algorithms, Systems, and Applications ISBN: 9783030235963
WASA
WASA
Due to their high performance as well as their low design complexity, polar codes are being considered as a candidate for next generation of mobile and wireless communications. Originally, polar codes were exactly designed over binary erasure channel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::009065666c4f742ecf554dfd72199f25
https://doi.org/10.1007/978-3-030-23597-0_23
https://doi.org/10.1007/978-3-030-23597-0_23
Publikováno v:
2017 International Conference on Computational Science and Computational Intelligence (CSCI).
In the early 1990s, unmanned aerial vehicles (UAV) were solely a domain of the military use by various developed countries. Now, the ease of availability and affordability in the electronic device market, this aerial vehicular technology has augmente