Výsledky vyhledávání - "Saad Ali Alfadhli"

Akademický článek

Enhancing Intrusion Detection Systems for IoT and Cloud Environments Using a Growth Optimizer Algorithm and Conventional Neural Networks

Autor: Abdulaziz Fatani, Abdelghani Dahou, Mohamed Abd Elaziz, Mohammed A. A. Al-qaness, Songfeng Lu, Saad Ali Alfadhli, Shayem Saleh Alresheedi

Publikováno v: Sensors, Vol 23, Iss 9, p 4430 (2023)

Intrusion detection systems (IDS) play a crucial role in securing networks and identifying malicious activity. This is a critical problem in cyber security. In recent years, metaheuristic optimization algorithms and deep learning techniques have been

Externí odkaz: https://doaj.org/article/4d59ec57dc1247fd99ac7291130c8109

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Akademický článek

MFSPV: A Multi-Factor Secured and Lightweight Privacy-Preserving Authentication Scheme for VANETs

Autor: Saad Ali Alfadhli, Songfeng Lu, Kai Chen, Meriem Sebai

Publikováno v: IEEE Access, Vol 8, Pp 142858-142874 (2020)

Vehicles authentication, the integrity of messages exchanged, and privacy-preserving are essential features in vehicular ad hoc network (VANETs) security. Most of the previously proposed VANETs security solutions do not sufficiently satisfy the secur

Externí odkaz: https://doaj.org/article/89d896f61778494da6090d4a43dd3ec4

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Fingerprint Salt & Pepper Noisy Image Enhancement with Threshold Method

Autor: Saad Ali Alfadhli, Songfeng Lu, Mahmut Ince, Ismail Maulood, Shayem Saleh Alresheedi

Publikováno v: IOP Conference Series: Materials Science and Engineering. 1077:012049

We present an adaptive threshold method for salt and pepper noisy fingerprint images. At first, we applied a threshold algorithm to detect noisy and corrupt pixels. Fingerprint image optimized with window filter produced pixels values. We measured th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9df061f89ff1869cd1e21f756d110e8e
https://doi.org/10.1088/1757-899x/1077/1/012049

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ELCPH

Autor: Songfeng Lu, Mahmut Ince, Abdulaziz Fatani, Saad Ali Alfadhli, Shayem Saleh Alresheedi

Publikováno v: Proceedings of the 2019 The World Symposium on Software Engineering - WSSE 2019.

Vehicular ad-hoc networks (VANETs) have got a wide range of attention to improve traffic systems and smart cities. Security and privacy are critical issues and need to be addressed for effective VANET systems. In this paper, we propose an efficient c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8ab0357bb50d2c99a31f11721ab21b8c
https://doi.org/10.1145/3362125.3362128

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