Yazar "Shamshad, Salman" seçeneğine göre listele

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    An enhanced scheme for mutual authentication for healthcare services
    (KEAI PUBLISHING LTD, 16 DONGHUANGCHENGGEN NORTH ST, BEIJING, DONGCHENG DISTRICT 100717, PEOPLES R CHINA, 2022) Shamshad, Salman; Ayub, Muhammad Faizan; Mahmood, Khalid; Kumari, Saru; Chaudhry, Shehzad Ashraf; Chen, Chien-Ming
    With the advent of state-of-art technologies, the Telecare Medicine Information System (TMIS) now offers fast and convenient healthcare services to patients at their doorsteps. However, this architecture engenders new risks and challenges to patients' and the server's confidentiality, integrity and security. In order to avoid any resource abuse and malicious attack, employing an authentication scheme is widely considered as the most effective approach for the TMIS to verify the legitimacy of patients and the server. Therefore, several authentication protocols have been proposed to this end. Very recently, Chaudhry et al. identified that there are vulnerabilities of impersonation attacks in Islam et al.'s scheme. Therefore, they introduced an improved protocol to mitigate those security flaws. Later, Qiu et al. proved that these schemes are vulnerable to the man-in-the-middle, impersonation and offline password guessing attacks. Thus, they introduced an improved scheme based on the fuzzy verifier techniques, which overcome all the security flaws of Chaudhry et al.'s scheme. However, there are still some security flaws in Qiu et al.'s protocol. In this article, we prove that Qiu et al.'s protocol has an incorrect notion of perfect user anonymity and is vulnerable to user impersonation attacks. Therefore, we introduce an improved protocol for authentication, which reduces all the security flaws of Qiu et al.'s protocol. We also make a comparison of our protocol with related protocols, which shows that our introduced protocol is more secure and efficient than previous protocols.
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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.