Blockchain as an Audit-Able Communication Channel

Suzuki, Shigeya; Murai, Jun

doi:10.1109/compsac.2017.72

Cited by 36 publications

(17 citation statements)

References 8 publications

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“…Data is encoded on a blockchain and is moving forward with fresh information as it moves past by the supply chain [8, 9, and 10]. Through hardware and software solutions, blockchain technology may also be utilised to improve security and dependability in distributed networks [18,19,20]. There have been three generations of blockchains depending on the desired audience (Zhao et al, 2016): Blockchain version 2 (which incorporates SCs) and a programming environment that go well beyond bitcoin transactions; and Blockchain version 3 (which comprises in areas beyond the previous two versions, such as e-commerce) [11].…”

Section: Block Chainmentioning

confidence: 99%

Block chain based Malware Detection using Machine Learning Algorithms for IoT enabled E-Health Applications

2021

International Journal For Innovative Engineering and Management

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Due to increasing digitalization and the development of new technologies such as the IoT, the application of machine learning (ML) algorithms is rapidly expanding (IoT). ML algorithms are being used in healthcare, IoT, engineering, finance, and other fields in today's digital age. However, in order to predict/solve a specific issue, all of these algorithms must be taught. There's a good chance that the training datasets have been tampered with, resulting in skewed findings. As a result, we have suggested a blockchain-based approach to protect datasets produced by IoT devices for E-Health applications in this paper. To address the aforementioned problem, the suggested blockchain-based system makes use of a private cloud. For assessment, we created a mechanism that dataset owners may use to protect their data.

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Section: Block Chainmentioning

confidence: 99%

Block chain based Malware Detection using Machine Learning Algorithms for IoT enabled E-Health Applications

2021

International Journal For Innovative Engineering and Management

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“…The closest line of work to this competition is blockchainbased access log audit. Suzuki et al, [32] proposed a method using blockchain as an audit-able communication channel. This study is motivated by a similar problem studied in this paper: in a client-server system, the logging on either server-side or client-side does not provide strict means of auditing, because the host of the logging system could tamper the log.…”

Section: Related Workmentioning

confidence: 99%

“…Several studies investigated blockchain-based access log audit [32][33][34] (we introduce them in the next section). They focus on how to achieve the immutability of the log.…”

Section: Introductionmentioning

confidence: 99%

Efficient logging and querying for blockchain-based cross-site genomic dataset access audit

Cao

Xiong

2020

BMC Med Genomics

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Background: Genomic data have been collected by different institutions and companies and need to be shared for broader use. In a cross-site genomic data sharing system, a secure and transparent access control audit module plays an essential role in ensuring the accountability. A centralized access log audit system is vulnerable to the single point of attack and also lack transparency since the log could be tampered by a malicious system administrator or internal adversaries. Several studies have proposed blockchain-based access audit to solve this problem but without considering the efficiency of the audit queries. The 2018 iDASH competition first track provides us with an opportunity to design efficient logging and querying system for cross-site genomic dataset access audit. We designed a blockchain-based log system which can provide a lightweight and widely compatible module for existing blockchain platforms. The submitted solution won the third place of the competition. In this paper, we report the technical details in our system. Methods: We present two methods: baseline method and enhanced method. We started with the baseline method and then adjusted our implementation based on the competition evaluation criteria and characteristics of the log system. To overcome obstacles of indexing on the immutable Blockchain system, we designed a hierarchical timestamp structure which supports efficient range queries on the timestamp field. Results: We implemented our methods in Python3, tested the scalability, and compared the performance using the test data supplied by competition organizer. We successfully boosted the log retrieval speed for complex AND queries that contain multiple predicates. For the range query, we boosted the speed for at least one order of magnitude. The storage usage is reduced by 25%. Conclusion: We demonstrate that Blockchain can be used to build a time and space efficient log and query genomic dataset audit trail. Therefore, it provides a promising solution for sharing genomic data with accountability requirement across multiple sites.

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“…An evaluation is required to verify the impact their proposal on per-formance. Suzuki et al design a prototype system based upon the test environment of Bitcoin [16], which is to use blockchain to construct audit logs for strictly access controlled in client-server communication channel. It cannot solve the high-energy consumption as well as the latency in system implementation caused by the mining process, although there is compensated through coin returns.…”

Section: Related Workmentioning

confidence: 99%

Towards Blockchain-Based Auditing of Data Exchanges

et al. 2019

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Auditing operations in multi-party data exchange, and over an arbitrary topology, is a common requirement yet still an open problem especially in the case where no trust on any participating party can be presumed. The challenges range from storage of the audit trail to tampering and collusion of participating entities. In this paper, we propose a blockchain-based auditing scheme. It is designed based on public key infrastructure and Shamir secret sharing scheme.

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Blockchain as an Audit-Able Communication Channel

Cited by 36 publications

References 8 publications

Block chain based Malware Detection using Machine Learning Algorithms for IoT enabled E-Health Applications

Block chain based Malware Detection using Machine Learning Algorithms for IoT enabled E-Health Applications

Efficient logging and querying for blockchain-based cross-site genomic dataset access audit

Towards Blockchain-Based Auditing of Data Exchanges

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