Securing Smart City Surveillance: A Lightweight Authentication Mechanism for Unmanned Vehicles

Ali, Zeeshan; Chaudhry, Shehzad Ashraf; Ramzan, Muhammad Sher; Al‐Turjman, Fadi

doi:10.1109/access.2020.2977817

Cited by 135 publications

(101 citation statements)

References 41 publications

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“…Srinivas et al [7] an AKE scheme for IoD, which is insecure against impersonation and privilege insider attacks. Srinivas et al's scheme also does not scale well as demonstrated in [13]. Z.Lv et al [6] presented a security solution based on convolution neural networks for the IoD environment.…”

Section: Related Workmentioning

confidence: 99%

LAKE-IoD: Lightweight Authenticated Key Exchange Protocol for the Internet of Drone Environment

et al. 2020

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A drone is an unmanned aerial vehicle, which is deployed in a particular Fly Zone (FZ), and used to collect crucial information from its surrounding environment to be transmitted to the server for further processing. Generally, a Mobile User (MU) is required to access the real-time information collected by the drone stationed in a specific FZ securely. Therefore, to ensure secure and reliable communications an Authenticated Key Exchange (AKE) protocol is imperative to the Internet of Drone (IoD) environment. An AKE scheme ensures only authentic MU to access IoD network resources. Upon successful authentication, MU and drone can set up a secret session key for secure communication in the future. This paper presents a novel Lightweight AKE Protocol for IoD Environment (LAKE-IoD), which first ensures the authenticity of MU and also renders session key establishment mechanism between MU and drone with the help of a server. LAKE-IoD is an AKE protocol, which is based on an authenticated encryption scheme AEGIS, hash function, and bit-wise XOR operation. Meticulous formal security verification by employing a software tool known as Scyther and informal security analysis demonstrates that LAKE-IoD is protected against different well-known active and passive security attacks. Additionally, Burrows-Abadi-Needham logic is applied to verify the logical completeness of LAKE-IoD. Furthermore, a comparison of LAKE-IoD with the related schemes shows that LAKE-IoD incurs less communication, computational and storage overhead.

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Section: Related Workmentioning

confidence: 99%

LAKE-IoD: Lightweight Authenticated Key Exchange Protocol for the Internet of Drone Environment

et al. 2020

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“…In the surveyed papers, the security issues were considered in [7,20,30,31], while in others they were not focused. Comparing to the analyzed papers, we aim to offer a secure remote health monitoring model in cloud-based IoT environment using data mining methods for early disease diagnosis which uses a lightweight block encryption method that is a proper solution for constrained medical IoT resources [42] which has not been focused in the studied papers. Therefore, the main contribution or advantage of our proposed model comparing to the previous papers is considering confidentiality and security issues in an operative manner regarding the limitations in IoT resources.…”

Section: Security Solutions In Iot Medical Data Managementmentioning

confidence: 99%

“…Generally, encryption plays a curtail role in making IoT systems secure. As an effective technique in block encryption methods, Substitution Box (S-Box) has an important impact [42,43,45,46]. Due to the constrained resources of IoT devices, providing lightweight S-Boxes is a challenge.…”

Section: Data Security Providingmentioning

confidence: 99%

A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment

Akhbarifar

Javadi

Rahmani

et al. 2020

Pers Ubiquit Comput

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Internet of Things (IoT) and smart medical devices have improved the healthcare systems by enabling remote monitoring and screening of the patients’ health conditions anywhere and anytime. Due to an unexpected and huge increasing in number of patients during coronavirus (novel COVID-19) pandemic, it is considerably indispensable to monitor patients’ health condition continuously before any serious disorder or infection occur. According to transferring the huge volume of produced sensitive health data of patients who do not want their private medical information to be revealed, dealing with security issues of IoT data as a major concern and a challenging problem has remained yet. Encountering this challenge, in this paper, a remote health monitoring model that applies a lightweight block encryption method for provisioning security for health and medical data in cloud-based IoT environment is presented. In this model, the patients’ health statuses are determined via predicting critical situations through data mining methods for analyzing their biological data sensed by smart medical IoT devices in which a lightweight secure block encryption technique is used to ensure the patients’ sensitive data become protected. Lightweight block encryption methods have a crucial effective influence on this sort of systems due to the restricted resources in IoT platforms. Experimental outcomes show that K-star classification method achieves the best results among RF, MLP, SVM, and J48 classifiers, with accuracy of 95%, precision of 94.5%, recall of 93.5%, and f-score of 93.99%. Therefore, regarding the attained outcomes, the suggested model is successful in achieving an effective remote health monitoring model assisted by secure IoT data in cloud-based IoT platforms.

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“…Let U A be a legit user of the system and knows the identity of another legal user U i . Following procedure can be adopted by U A to impersonate as a U i : 1) The U A fetches W j corresponding to SID j from RC's verifier table [51], picks an arbitrary nonce R A rand1 and calculates:…”

Section: User Impersonation Attackmentioning

confidence: 99%

ITSSAKA-MS: An Improved Three-Factor Symmetric-Key Based Secure AKA Scheme for Multi-Server Environments

et al. 2020

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A variety of three-factor smart-card based schemes, specifically designed for telecare medicine information systems (TMIS) are available for remote user authentication. Most of the existing schemes for TMIS are customarily proposed for the single server-based environments and in a single-server environment. Therefore, there is a need for patients to distinctly register and login with each server to employ distinct services, so it escalates the overhead of keeping the cards and memorizing the passwords for the users. Whereas, in a multi-server environment, users only need to register once to resort various services for exploiting the benefits of a multi-server environment. Recently, Barman et al. proposed an authentication scheme for e-healthcare by employing a fuzzy commitment and asserted that the scheme can endure many known attacks. Nevertheless, after careful analysis, this paper presents the shortcoming related to its design as well as it is to prove in this paper that the scheme of Barman et al. is prone to many attacks including: server impersonation, session-key leakage, user impersonation, secret temporary parameter leakage attacks as well as its lacks user anonymity. Moreover, their scheme has the scalability issue. In order to mitigate the aforementioned issues, this work proposes an amended three-factor symmetric-key based secure authentication and key agreement scheme for multi-server environments (ITSSAKA-MS). The security of ITSSAKA-MS is proved formally under automated tool AVISPA along with a security feature discussion. Although, the proposed scheme requisites additional communication and computation costs, but the informal and automated formal security analysis indicate that only proposed scheme withstands several known attacks as compared with recent schemes. INDEX TERMS Authentication and key-agreement (AKA), AVISPA tool, E-Healthcare, Fuzzy commitment scheme, Multi-server authentication, Telecare medicine information system (TMIS).

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Securing Smart City Surveillance: A Lightweight Authentication Mechanism for Unmanned Vehicles

Cited by 135 publications

References 41 publications

LAKE-IoD: Lightweight Authenticated Key Exchange Protocol for the Internet of Drone Environment

LAKE-IoD: Lightweight Authenticated Key Exchange Protocol for the Internet of Drone Environment

A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment

ITSSAKA-MS: An Improved Three-Factor Symmetric-Key Based Secure AKA Scheme for Multi-Server Environments

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