A provably secure and lightweight mutual authentication protocol in fog-enabled social Internet of vehicles

Li, Zhen; Miao, Qingkai; Chaudhry, Shehzad Ashraf; Chen, Chien‐Ming

doi:10.1177/15501329221104332

Cited by 26 publications

(9 citation statements)

References 29 publications

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“…A malicious fog server might pose as a trustworthy fog server and appear to be a fog user in order to connect to the fog 7–9 . Once linked, it may control both incoming and outgoing requests to the cloud, gather user data and so forth.…”

Section: Introductionmentioning

confidence: 99%

FogSec: A secure and effective mutual authentication scheme for fog computing

Raja Sree,

Harish,

Veni

2024

Concurrency and Computation

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SummaryAs opposed to cloud servers, fog servers, and fog users may be malicious, so developing a mutual identity‐preserving authentication mechanism between them is a crucial and difficult problem in fog computing. Such a technique must conceal the user's true identity from the adversary; otherwise, the adversary will be able to determine which fog user and fog server are in communication. This article suggests a secure and reliable anonymous mutual authentication system for use at the network's edge between fog users and fog servers. With the aid of the registration authority (RA) in our system, they can verify one another and decide on a new session key that will be used to encrypt messages throughout the session. Fog users don't need to re‐register with RA to wander freely over the network and authenticate to any fog server that is within their range. The proposed technique only needs a small number of symmetric encryption/decryption and one‐way hash functions, making it easy to implement for fog‐user devices with limited resources. The new scheme's performance is evaluated in comparison to the existing one, showing that it is more resilient to various types of assaults (such as known plaintext attacks, man‐in‐the‐middle attacks, session hijacking, etc.). The widely used Automated Validation of Internet Security Protocols and Applications tool is used to verify the proposed system. The outcomes demonstrate that our approach can safely withstand different attacks and accomplish the desired outcomes. Additionally, the proposed method is tested in real‐world scenarios with the NS3 simulator.

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Section: Introductionmentioning

confidence: 99%

FogSec: A secure and effective mutual authentication scheme for fog computing

Raja Sree,

Harish,

Veni

2024

Concurrency and Computation

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“…Authors verify their protocol in both a formal and informal way. In 2022, Li et al 33 proposed a mutual authentication protocol for the fog‐enabled social Internet of vehicles. In 2022, Wu et al 34 proposed a protocol based on a symmetric encryption algorithm and fog computing in the Internet of vehicles.…”

Section: Introductionmentioning

confidence: 99%

A secure protocol for patient monitoring in wireless body area networks

Tyagi

Kumari

Gupta

et al. 2023

Concurrency and Computation

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Recently, an authentication scheme was presented for health-care in IoT for WBANs by Fotouhi et al. Authors asserted their scheme to be free from a number of attacks.Here, we find that Fotouhi et al.'s scheme suffers from insider attack, fails to provide proper authentication and bears inefficient password update phase. Therefore their scheme has security pitfalls that can lead to further security breaches. We remove the weaknesses of Fotouhi et al.'s scheme and hence propose a user authentication scheme for patient care. Our scheme is suitable for providing special care to patients in the healthcare industry. The proposed scheme facilitates health professionals to access the real-time data of patients under treatment for some diseases.It also safeguards the medical staff from catching an infection from the patients by minimizing the need to come in direct contact with the patients. We justify the security of our proposed scheme by applying the random oracle model to it. The proposed scheme is compared with some related works to judge its efficacy over the compared counterparts.

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“…To address the aforementioned challenges, we propose a method for the recognition of vehicles entering ESAs (VeESAs) and the estimation of dwell times using ETC data. First, with the rapid development of Internet of Vehicles (IoV) technology in recent years [ 25 , 26 ], China built the world’s largest IoV system—the ETC system—at the end of 2019, with a penetration rate of more than 80% of its users. Therefore, this study will utilize ETC data as experimental data to solve the problem of insufficient data.…”

Section: Introductionmentioning

confidence: 99%

Recognition of Vehicles Entering Expressway Service Areas and Estimation of Dwell Time Using ETC Data

Cai

Zou

et al. 2022

Entropy

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To scientifically and effectively evaluate the service capacity of expressway service areas (ESAs) and improve the management level of ESAs, we propose a method for the recognition of vehicles entering ESAs (VeESAs) and estimation of vehicle dwell times using electronic toll collection (ETC) data. First, the ETC data and their advantages are described in detail, and then the cleaning rules are designed according to the characteristics of the ETC data. Second, we established feature engineering according to the characteristics of VeESA and proposed the XGBoost-based VeESA recognition (VR-XGBoost) model. Studied the driving rules in depth, we constructed a kinematics-based vehicle dwell time estimation (K-VDTE) model. The field validation in Part A/B of Yangli ESA using real ETC transaction data demonstrates that the effectiveness of our proposal outperforms the current state-of-the-art. Specifically, in Part A and Part B, the recognition accuracies of VR-XGBoost are 95.9% and 97.4%, respectively, the mean absolute errors (MAEs) of dwell time are 52 and 14 s, respectively, and the root mean square errors (RMSEs) are 69 and 22 s, respectively. In addition, the confidence level of controlling the MAE of dwell time within 2 min is more than 97%. This work can effectively recognize the VeESA and accurately estimate the dwell time, which can provide a reference idea and theoretical basis for the service capacity evaluation and layout optimization of the ESA.

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A provably secure and lightweight mutual authentication protocol in fog-enabled social Internet of vehicles

Cited by 26 publications

References 29 publications

FogSec: A secure and effective mutual authentication scheme for fog computing

FogSec: A secure and effective mutual authentication scheme for fog computing

A secure protocol for patient monitoring in wireless body area networks

Recognition of Vehicles Entering Expressway Service Areas and Estimation of Dwell Time Using ETC Data

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