Secure and Lightweight Authentication Protocol for Privacy Preserving Communications in Smart City Applications

Гупта, Сунил; Alharbi, Fares; Alshahrani, Reem; Arya, Pradeep Kumar; Vyas, Sonali; Elkamchouchi, Dalia H.; Soufiene, Ben Othman

doi:10.3390/su15065346

Cited by 8 publications

(6 citation statements)

References 29 publications

(29 reference statements)

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“…Gupta et al [8] identified drawbacks in an identity-based protocol used for remote working. They identified impersonation and insider attacks as the major loopholes.…”

Section: Literature Surveymentioning

confidence: 99%

“…They identified impersonation and insider attacks as the major loopholes. After that, [8] presented an improved ECC-based authentication scheme for mobile devices. However, [8] shows that the plan is lightweight and robust.…”

Section: Literature Surveymentioning

confidence: 99%

“…After that, [8] presented an improved ECC-based authentication scheme for mobile devices. However, [8] shows that the plan is lightweight and robust. Salami et al [9] demonstrated that remote authentication could ensure any transaction's availability, non-repudiation, and integrity.…”

Section: Literature Surveymentioning

confidence: 99%

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A lightweight and secure protocol for teleworking environment

Algarni,

Ullah Jan

2024

PLoS ONE

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The Internet has advanced so quickly that we can now access any service at any time, from any location. As a result of this capability, People around the world can benefit from the popularity and convenience of teleworking systems. Teleworking systems, however, are vulnerable to a range of attacks; as an unauthorized user enters the open communication line and compromises the whole system, that, in turn, creates a big hurdle for the teleworkers. Professional groups have presented numerous mechanisms for the security of teleworking systems to stop any harm, but there are still a lot of security issues like insider, stolen verifier, masquerade, replay, traceability and impersonation threats. In this paper, we propose that one of the security issues with teleworking systems is the lack of a secure authentication mechanism. In order to provide a secure teleworking environment, we have proposed a lightweight and secure protocol to authenticate all the participants and make the requisite services available in an efficient manner. The security analysis of the presented protocol has been investigated formally using the random oracle model (ROM) and ProVerif simulation and informally through illustration/attack discussions. Meanwhile, the performance metrics have been measured by considering computation and communication overheads. Upon comparing the proposed protocol with prior works, it has been demonstrated that our protocol is superior to its competitors. It is suitable for implementation because it achieved a 73% improvement in computation and 34% in communication costs.

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“…Gupta et al [8] identified drawbacks in an identity-based protocol used for remote working. They identified impersonation and insider attacks as the major loopholes.…”

Section: Literature Surveymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

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A lightweight and secure protocol for teleworking environment

Algarni,

Ullah Jan

2024

PLoS ONE

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“…As explained in 1 , 2 , smart cities utilize data-driven technologies to boost sustainability, efficiency, quality of life of the citizens and streamline city services. In addition, the usage of smart city data and technologies facilitate efficient and optimized management of resources, urban services and assets, as well as aiding in making informed decisions 3 , 4 . The advancements in big data, cloud computing, Flying Ad-Hoc Networks (FANET), Wireless Sensor Networks (WSNs), Artificial Intelligence (AI), 5th generation mobile network (5G) and Internet of Things (IoT) have led to considerable traction towards smart cities 5 – 8 .…”

Section: Introductionmentioning

confidence: 99%

Smart city energy efficient data privacy preservation protocol based on biometrics and fuzzy commitment scheme

Nyangaresi,

Abduljabbar,

Mutlaq

et al. 2024

Sci Rep

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Advancements in cloud computing, flying ad-hoc networks, wireless sensor networks, artificial intelligence, big data, 5th generation mobile network and internet of things have led to the development of smart cities. Owing to their massive interconnectedness, high volumes of data are collected and exchanged over the public internet. Therefore, the exchanged messages are susceptible to numerous security and privacy threats across these open public channels. Although many security techniques have been designed to address this issue, most of them are still vulnerable to attacks while some deploy computationally extensive cryptographic operations such as bilinear pairings and blockchain. In this paper, we leverage on biometrics, error correction codes and fuzzy commitment schemes to develop a secure and energy efficient authentication scheme for the smart cities. This is informed by the fact that biometric data is cumbersome to reproduce and hence attacks such as side-channeling are thwarted. We formally analyze the security of our protocol using the Burrows–Abadi–Needham logic logic, which shows that our scheme achieves strong mutual authentication among the communicating entities. The semantic analysis of our protocol shows that it mitigates attacks such as de-synchronization, eavesdropping, session hijacking, forgery and side-channeling. In addition, its formal security analysis demonstrates that it is secure under the Canetti and Krawczyk attack model. In terms of performance, our scheme is shown to reduce the computation overheads by 20.7% and hence is the most efficient among the state-of-the-art protocols.

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“…FL is now being used in the IoT, which has a particularly large and complex network. The cost of communication between various devices can be very high, making it necessary to find a solution to this problem [9][10][11]. Although Deep Neural Networks (DNNs) have achieved good performances in many real-world scenarios, their high computation and memory requirements make them unsuitable for wider applications on resource-limited devices [12].…”

Section: Introductionmentioning

confidence: 99%

A Communication-Efficient, Privacy-Preserving Federated Learning Algorithm Based on Two-Stage Gradient Pruning and Differentiated Differential Privacy

Li,

Du,

Han

et al. 2023

Sensors

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There are several unsolved problems in federated learning, such as the security concerns and communication costs associated with it. Differential privacy (DP) offers effective privacy protection by introducing noise to parameters based on rigorous privacy definitions. However, excessive noise addition can potentially compromise the accuracy of the model. Another challenge in federated learning is the issue of high communication costs. Training large-scale federated models can be slow and expensive in terms of communication resources. To address this, various model pruning algorithms have been proposed. To address these challenges, this paper introduces a communication-efficient, privacy-preserving FL algorithm based on two-stage gradient pruning and differentiated differential privacy, named IsmDP-FL. The algorithm leverages a two-stage approach, incorporating gradient pruning and differentiated differential privacy. In the first stage, the trained model is subject to gradient pruning, followed by the addition of differential privacy to the important parameters selected after pruning. Non-important parameters are pruned by a certain ratio, and differentiated differential privacy is applied to the remaining parameters in each network layer. In the second stage, gradient pruning is performed during the upload to the server for aggregation, and the final result is returned to the client to complete the federated learning process. Extensive experiments demonstrate that the proposed method ensures a high communication efficiency, maintains the model privacy, and reduces the unnecessary use of the privacy budget.

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Secure and Lightweight Authentication Protocol for Privacy Preserving Communications in Smart City Applications

Cited by 8 publications

References 29 publications

A lightweight and secure protocol for teleworking environment

A lightweight and secure protocol for teleworking environment

Smart city energy efficient data privacy preservation protocol based on biometrics and fuzzy commitment scheme

A Communication-Efficient, Privacy-Preserving Federated Learning Algorithm Based on Two-Stage Gradient Pruning and Differentiated Differential Privacy

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