Yazar "AlZubi, Ahmad Ali" seçeneğine göre listele

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    A Lightweight Authentication Scheme for 6G-IoT Enabled Maritime Transport System
    (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141, 2023) Chaudhry, Shehzad Ashraf; Irshad, Azeem; Khan, Muhammad Asghar; Khan, Sajjad Ahmad; Nosheen, Summera; AlZubi, Ahmad Ali; Zikria, Yousaf Bin
    The Sixth-Generation (6G) mobile network has the potential to provide not only traditional communication services but also additional processing, caching, sensing, and control capabilities to a massive number of Internet of Things (IoT) devices. Meanwhile, a 6G mobile network may provide global coverage and diverse quality-of-service provisioning to the Maritime Transportation System (MTS) when enabled through satellite systems. Although modern MTS has gained significant benefits from Internet of Things (IoT) and 6G technologies, threats and challenges in terms of security and privacy have also been grown substantially. Tracking the location of vessels, GPS spoofing, unauthorized access to data, and message tampering are some of the potential security and privacy vulnerabilities in the 6G-IoT enabled MTS. In this article, we propose a lightweight authentication protocol for a 6G-IoT enabled maritime transportation system to efficiently assist and ensure the security and privacy of maritime transportation systems. To validate the security characteristics, formal security assessment methods are utilized, i.e., Real-Or-Random (ROR) oracle model. The findings of the security analysis show that the proposed scheme is more secure than the existing schemes.
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    A Secure and Lightweight Drones-Access Protocol for Smart City Surveillance
    (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ, 2022) Akram, Muhammad Wahid; Bashir, Ali Kashif; Shamshad, Salman; Saleem, Muhammad Asad; AlZubi, Ahmad Ali; Chaudhry, Shehzad Ashraf; Alzahrani, Bander A.; Bin Zikria, Yousaf
    The rising popularity of ICT and the Internet has enabled Unmanned Aerial Vehicle (UAV) to offer advantageous assistance to Vehicular Ad-hoc Network (VANET), realizing a relay node’s role among the disconnected segments in the road. In this scenario, the communication is done between Vehicles to UAVs (V2U), subsequently transforming into a UAV-assisted VANET. UAV-assisted VANET allows users to access real-time data, especially the monitoring data in smart cities using current mobile networks. Nevertheless, due to the open nature of communication infrastructure, the high mobility of vehicles along with the security and privacy constraints are the significant concerns of UAV-assisted VANET. In these scenarios, Deep Learning Algorithms (DLA) could play an effective role in the security, privacy, and routing issues of UAV-assisted VANET. Keeping this in mind, we have devised a DLA-based key-exchange protocol for UAV-assisted VANET. The proposed protocol extends the scalability and uses secure bitwise XOR operations, one-way hash functions, including user’s biometric verification when users and drones are mutually authenticated. The proposed protocol can resist many well-known security attacks and provides formal and informal security under the Random Oracle Model (ROM). The security comparison shows that the proposed protocol outperforms the security performance in terms of running time cost and communication cost and has effective security features compared to other related protocols.