Lightweight Cloud Computing-Based RFID Authentication Protocols Using PUF for e-Healthcare Systems

Lee, Tian-Fu; Lin, Kun-Wei; Hsieh, Yi-Pei; Lee, Kuo-Chang

doi:10.1109/jsen.2023.3242132

Cited by 8 publications

(3 citation statements)

References 23 publications

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“…In formula (2), n represents the aggregation times of heterogeneous information on scientific research topics, i K…”

Section:  mentioning

confidence: 99%

“…As a new computing model, cloud computing has become an important tool and resource in scientific research [1]. The advantage of cloud computing lies in its high flexibility and expansibility, which provides scientists with large-scale computing and storage resources, and then supports data-intensive scientific research [2][3]. With the rapid increase of scientific research data and the rise of heterogeneity, scientists are faced with the problem of aggregation and processing of heterogeneous information [4].…”

Section: Introductionmentioning

confidence: 99%

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Research topic heterogeneous information aggregation processing method based on cloud computing

Xing

2024

Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024)

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In order to solve the problem of low recall rate of conventional heterogeneous information aggregation processing methods and improve the effect of heterogeneous information processing, this paper proposes a heterogeneous information aggregation processing method based on cloud computing. Build a cloud computing platform architecture, on this basis, build a fuzzy membership function between heterogeneous information of scientific research topics, and identify multisource target features of heterogeneous information of scientific research topics; Transform heterogeneous information into paths of different types of nodes, construct an objective function, and obtain the results of heterogeneous information aggregation of scientific research topics. The experimental results show that the recall rate of this method is the best on most information sample sets, and the aggregation error rate is the lowest when the heterogeneous information of scientific research topics is aggregated, which has good aggregation performance.

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“…In formula (2), n represents the aggregation times of heterogeneous information on scientific research topics, i K…”

Section:  mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research topic heterogeneous information aggregation processing method based on cloud computing

Xing

2024

Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024)

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“…As an essential part of the digital economy, a blockchain system is a decentralized byzantine consensus distributed system with tamper-proof ledgers and good data consistency [2]. Blockchain systems are widely deployed in complex application scenarios such as finance [3], Internet of Things (IoT) [4], healthcare [5], and digital wallets with dynamically changing requirements [6]. However, blockchain systems are facing some security problems.…”

Section: Introductionmentioning

confidence: 99%

An Evolutionary Game Theory-Based Method to Mitigate Block Withholding Attack in Blockchain System

et al. 2023

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Consensus algorithms are the essential components of blockchain systems. They guarantee the blockchain’s fault tolerance and security. The Proof of Work (PoW) consensus algorithm is one of the most widely used consensus algorithms in blockchain systems, using computational puzzles to enable mining pools to compete for block rewards. However, this excessive competition for computational power will bring security threats to blockchain systems. A block withholding (BWH) attack is one of the most critical security threats blockchain systems face. A BWH attack obtains the reward of illegal block extraction by replacing full proof with partial mining proof. However, the current research on the BWH game could be more extensive, considering the problem from the perspective of a static game, and it needs an optimal strategy that dynamically reflects the mining pool for multiple games. Therefore, to solve the above problems, this paper uses the method of the evolutionary game to design a time-varying dynamic game model through the degree of system supervision and punishment. Based on establishing the game model, we use the method of replicating dynamic equations to analyze and find the optimal strategy for mining pool profits under different BWH attacks. The experimental results demonstrate that the mining pools will choose honest mining for the best profit over time under severe punishment and high supervision. On the contrary, if the blockchain system is supervised with a low penalty, the mining pools will eventually choose to launch BWH attacks against each other to obtain the optimal mining reward. These experimental results also prove the validity and correctness of our model and solution.

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New ECC-Based IoT Authentication Protocol for Securing RFID Systems

Timouhin,

Amounas,

Azrour

2023

SN COMPUT. SCI.

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Lightweight Cloud Computing-Based RFID Authentication Protocols Using PUF for e-Healthcare Systems

Cited by 8 publications

References 23 publications

Research topic heterogeneous information aggregation processing method based on cloud computing

Research topic heterogeneous information aggregation processing method based on cloud computing

An Evolutionary Game Theory-Based Method to Mitigate Block Withholding Attack in Blockchain System

New ECC-Based IoT Authentication Protocol for Securing RFID Systems

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