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Öğe A seamless anonymous authentication protocol for mobile edge computing infrastructure(ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2022) Mahmood, Khalid; Ayub, Muhammad Faizan; Hassan, Syed Zohaib; Ghaffar, Zahid; Lv, Zhihan; Chaudhry, Shehzad AshrafMobile Edge Computing (MEC) accommodates processing and data storage and manipulation capabilities across the scope of wireless network. In MEC environment, MEC servers along with the computing and storage capabilities are distributed at the edge of the network. However, due to the broad range of wireless communication, the fulfillment of security requirements still remain a challenging task in the for MEC environment. With the expeditious traffic expansion and growing end user requirements, the classic security protocols cannot encounter the innovative requirements of lightweightness and real-time communication. To meet these requirements, we have proposed an authentication protocol for the MEC environment. Our proposed protocol stipulates secure and efficient communication for all of the intended entities. Meanwhile, during its execution user anonymity remains intact. Moreover, our protocol is proven to be secure under the assumptions of formal security model. Additionally in this article, we have described the security properties of our protocol that it offers resistance against impersonation, session key computation and forward and backward secrecy attacks. The comparative analysis of time consumption and computation overheads are presented at the end of the paper, which is an evidence that our proposed protocol outperforms prior to various existing MEC protocols.Öğe A Security Enhanced Chaotic-Map-Based Authentication Protocol for Internet of Drones(IEEE-Inst Electrical Electronics Engineers Inc, 2024) Mahmood, Khalid; Ghaffar, Zahid; Farooq, Muhammad; Yahya, Khalid; Das, Ashok Kumar; Chaudhry, Shehzad AshrafThe Internet of Drones (IoD) extends the capabilities of unmanned aerial vehicles, enabling them to participate in a connected network. In IoD infrastructure, drones communicate not only among themselves but also with users and a control center. This interconnected communication framework holds promise for various applications, from collaborative decision-making to real-time data exchange. However, the expansion of communication in IoD also introduces new challenges, particularly in terms of security, privacy and authentication. Unfortunately, the current authentication protocols are inadequate in offering robust security features against various attacks in the IoD environment. To address these security issues and limitations, we proposed a secure protocol for the IoD environment using chaotic maps and hash functions. In addition, we also employed a physically unclonable function in the development of the proposed protocol. We assess the security of the protocol through both informal and formal security analysis. The formal security analysis is conducted through a widely used random or real (RoR) model. The informal analysis shows the rigorous security features against various attacks, such as masquerading, anonymity violation, and physical cloning attacks. Moreover, we compare the performance of the devised protocol with similar existing protocols across important performance parameters, such as communication overhead, computation overhead, and security features. The devised protocol provides a 67.86% and 17.80% reduction in computation and communication overheads, respectively, as compared to related protocols. The analysis demonstrates the proposed protocol's capacity to support secure communication in the IoD environment and satisfy desirable security attributes.