Efficient privacy-preserving authentication protocol using PUFs with blockchain smart contracts

Patil, Akash Suresh; Hamza, Rafik; Hassan, Alzubair; Jiang, Nan; Yan, Hongyang; Li, Jin

doi:10.1016/j.cose.2020.101958

Cited by 66 publications

(16 citation statements)

References 24 publications

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“…This in turn would reduce the demand on the throughput of the public blockchain. In the experiment, we considered seven aggregation levels, from each block including 1024 (i.e., 2 10 ) samples, to 2048 (i.e., 2 11 ), 4096 (i.e., 2 12 ), 8192 (i.e., 2 13 ), 16384 (i.e., 2 14 ), 32768 (i.e., 2 15 ), 65536 (i.e., 2 16 ), and 131072 (i.e., 2 17 ) samples. The results are shown in Fig.…”

Section: A Raw Sensing Data Aggregation and Loggingmentioning

confidence: 99%

A Blockchain-Facilitated Secure Sensing Data Processing and Logging System

et al. 2023

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In this paper, we present the design, implementation, and evaluation of a secure sensing data processing and logging system. The system is inspired and enabled by blockchain. In this system, a public blockchain is used as immutable data store to store the most critical data needed to secure the system. Furthermore, several innovative blockchain-inspired mechanisms have been incorporated into the system to provide additional security for the system's operations. The first priority in securing sensing data processing and logging is admission control, i.e., only legitimate sensing data are accepted for processing and logging. This is achieved via a sensor identification and authentication mechanism. The second priority is to ensure that the logged data remain intact overtime. This is achieved by storing a small amount of data condensed from the raw sensing data on a public blockchain. A Merkel-tree based mechanism is devised to link the raw sensing data stored off-chain to the condensed data placed on public blockchain. This mechanism passes the data immutability property of a public blockchain to the raw sensing data stored off-chain. Third, the raw sensing data stored off-chain are secured with a self-protection mechanism where the raw sensing data are grouped into chained blocks with a moderate amount of proof-of-work. This scheme prevents an adversary from making arbitrary changes to the logged data within a short period of time. Fourth, mechanisms are developed to facilitate the search of the condensed data placed on the public blockchain and the verification of the raw sensing data using the condensed data placed on the public blockchain. The system is implemented in Python except the graphical user interface, which is developed using C#. The functionality and feasibility of the system have been evaluated locally and with two public blockchain systems, one is the IOTA Shimmer test network, and the other is Ethereum.

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Section: A Raw Sensing Data Aggregation and Loggingmentioning

confidence: 99%

A Blockchain-Facilitated Secure Sensing Data Processing and Logging System

et al. 2023

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“…They failed to prioritize network security, resulting in unauthorized data access and intruder attacks on sensed data. The BC-based authentication models [43][44][45][46][47][48][49][50][51] failed to address the better security issue and achieve a higher data integrity rate and a shorter processing time. Furthermore, they were unable to implement a robust cryptographic mechanism to ensure the security of transmitted data.…”

Section: Problem Statementmentioning

confidence: 99%

“…Finally, the paper analyzes the performance of the proposed BC-based data storage system by comparing the model with the existing BC model. The models used for comparison are PUF-based BC, 43 hybrid BC, 44 and signature-based BC, 45 and the metrics used for comparison are data integrity rate (DIR) and processing time (PT). Table 4 (A) shows the DIR of the techniques.…”

Section: Performance Analysis Of Bc Based Schemesmentioning

confidence: 99%

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Quality of Service aware secure data transmission model for Internet of Things assisted wireless sensor networks

Velmurugadass

Dhanasekaran

Anand

et al. 2022

Trans Emerging Tel Tech

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Wireless sensor networks (WSNs) are the most critical networks in developing various Internet of Things (IoT) based applications. However, such intelligent devices have drawbacks for energy, memory, processing, and computation resources. In addition, achieving Quality of Service (QoS) with secure data transmission (DT) is a significant challenge for WSNs. This article proposes efficient IoT authentication and energy-aware safe DT models for achieving better QoS and security with lower energy consumption (EC) in WSNs. Initially, the network randomly deploys the sensor nodes (SNs) and performs the registration of the SNs with the base station (BS). Second, the Entropy-based Jaccard similarity induced fuzzy C-means clustering (EJS-FCM) model clusters the SNs based on the intrinsic qualities of nodes. Then the boosted grasshopper optimization algorithm (BGOA) selects the cluster heads (CHs) optimally by considering major fitness parameters such as communication distance, energy, and distance centroid. Following that, an Adler-32 hashing-based authentication scheme performs authentication of every IoT node deployed in the network to provide safer DT. After successful authentication, secure hash elliptical curve cryptography (SHECC) encrypts the data collected from the CHs by incorporating a hashing function both in encryption and decryption, enhancing the IoT data's security level. Finally, in a cloud server (CS), the decentralized blockchain (BC) stores the encrypted data and the authentication credentials of the IoT devices from the BS, which provide additional security to the network. The results of the presented model show its performance efficiency over existing approaches for energy efficiency (EE), QoS, and security.

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“…Evaluation on the computational and communication overhead of these two methods are provided to show their potential. Recently, Patil et al [52] proposed a blockchain-based protocol that utilizes the Physically Unclonable Function (PUF) model to achieve better authentication process whilst still preserving user privacy. In [53], Jones et al compared the use of trusted third parties, cryptographic techniques, and blockchain smart contracts and concluded that each alone does not ensure privacy preservation.…”

Section: ) Security Enhancement Techniquesmentioning

confidence: 99%

A Survey on Privacy-Preserving Blockchain Systems (PPBS) and a Novel PPBS-Based Framework for Smart Agriculture

Tran

Turnbull

et al. 2021

IEEE Open J. Comput. Soc.

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Blockchain and smart contracts have seen significant application over the last decade, revolutionising many industries, including cryptocurrency, finance and banking, and supply chain management. In many cases, however, the transparency provided potentially comes at the cost of privacy. Blockchain does have potential uses to increase privacy-preservation. This paper outlines the current state of privacy preservation utilising Blockchain and Smart Contracts, as applied to a number of fields and problem domains. It provides a background of blockchain, outlines the challenges in blockchain as they relate to privacy, and then classifies into areas in which this paradigm can be applied to increase or protect privacy. These areas are cryptocurrency, data management and storage, e-voting, the Internet of Things, and smart agriculture. This work then proposes PPSAF, a new privacy-preserving framework designed explicitly for the issues that are present in smart agriculture. Finally, this work outlines future directions of research in areas combining future technologies, privacy-preservation and blockchain.

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Efficient privacy-preserving authentication protocol using PUFs with blockchain smart contracts

Cited by 66 publications

References 24 publications

A Blockchain-Facilitated Secure Sensing Data Processing and Logging System

A Blockchain-Facilitated Secure Sensing Data Processing and Logging System

Quality of Service aware secure data transmission model for Internet of Things assisted wireless sensor networks

A Survey on Privacy-Preserving Blockchain Systems (PPBS) and a Novel PPBS-Based Framework for Smart Agriculture

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