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作 者:Amjad Khan Rahim Khan Fahad Alturise Tamim Alkhalifah
机构地区:[1]Department of Computer Science,Abdul Wali Khan University,Mardan,23200,Pakistan [2]Department of Cybersecurity,College of Computer,Qassim University,Buraydah,Saudi Arabia [3]Department of Computer Engineering,College of Computer,Qassim University,Buraydah,Saudi Arabia
出 处:《Computers, Materials & Continua》2025年第2期3161-3178,共18页计算机、材料和连续体(英文)
基 金:supported by the Deanship of Graduate Studies and Scientific Research at Qassim University via Grant No.(QU-APC-2025).
摘 要:The Internet of Things (IoT) and edge-assisted networking infrastructures are capable of bringing data processing and accessibility services locally at the respective edge rather than at a centralized module. These infrastructures are very effective in providing a fast response to the respective queries of the requesting modules, but their distributed nature has introduced other problems such as security and privacy. To address these problems, various security-assisted communication mechanisms have been developed to safeguard every active module, i.e., devices and edges, from every possible vulnerability in the IoT. However, these methodologies have neglected one of the critical issues, which is the prediction of fraudulent devices, i.e., adversaries, preferably as early as possible in the IoT. In this paper, a hybrid communication mechanism is presented where the Hidden Markov Model (HMM) predicts the legitimacy of the requesting device (both source and destination), and the Advanced Encryption Standard (AES) safeguards the reliability of the transmitted data over a shared communication medium, preferably through a secret shared key, i.e., , and timestamp information. A device becomes trusted if it has passed both evaluation levels, i.e., HMM and message decryption, within a stipulated time interval. The proposed hybrid, along with existing state-of-the-art approaches, has been simulated in the realistic environment of the IoT to verify the security measures. These evaluations were carried out in the presence of intruders capable of launching various attacks simultaneously, such as man-in-the-middle, device impersonations, and masquerading attacks. Moreover, the proposed approach has been proven to be more effective than existing state-of-the-art approaches due to its exceptional performance in communication, processing, and storage overheads, i.e., 13%, 19%, and 16%, respectively. Finally, the proposed hybrid approach is pruned against well-known security attacks in the IoT.
关 键 词:Internet of Things information security AUTHENTICATION hidden Markov model MULTIMEDIA
分 类 号:TN929.5[电子电信—通信与信息系统] TP391.44[电子电信—信息与通信工程]
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