On Efficient Data Integrity and Data Origin Authentication for Wireless Sensor Networks Utilising Block Cipher Design Techniques

Adekunle, A. A.; Woodhead, Steve

doi:10.1109/ngmast.2009.78

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…e rapid development of big data technology has penetrated deeply into people's lives. Big data technologies such as government affairs big data [1], big judicial data [2], and extensive medical data [3] are gradually providing robust data technical support for the progress of the society. However, big data has characteristics different from traditional data and needs to be processed using technologies suitable for big data.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Based Data Audit Mechanism for Integrity over Big Data Environments

Haider

Bhardwaj³

et al. 2022

Security and Communication Networks

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Recently, data integrity for multiagent-based big data environments has been challenging. This paper presents a blockchain-based Merkle DAG structure (M-DAG) for audit data integrity. M-DAG resolves the problem that arises due to the multicopy of a large data volume in a big data environment. It employed Boneh–Lynn–Shacham’s (BSL) signature to verify the integrity of identical multicopy on big data environments. The proposed M-DAG audit mechanism uses a consortium chain algorithm for decentralized traceability and audit to archive reliable data. The evaluation has been carried out for the efficiency of the data integrity audit.

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Section: Introductionmentioning

confidence: 99%

Blockchain-Based Data Audit Mechanism for Integrity over Big Data Environments

Haider

Bhardwaj³

et al. 2022

Security and Communication Networks

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“…Data authentication is the process ensuring that the provider is truly the provider of the data [17,18]. The provider should be authenticated so that the attacker pretending to be the sender would not be able to fake the communication.…”

Section: Data Management In Ami Environmentsmentioning

confidence: 99%

“…Data confidentiality is the process of hiding the information so that only the recipients could know of what's being provided by the provider. It can be achieved by using the data encryption algorithms defined in symmetric [16,18] (shared common key) and asymmetric (public-private key pairs) models.…”

Section: Data Management In Ami Environmentsmentioning

confidence: 99%

Blockchain Technologies for Private Data Management in AmI Environments

Robles¹,

Sánchez-de-Rivera²

2018

UCAmI 2018

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Blockchain enables the creation of distributed ledgers as a type of database that is shared, replicated, and synchronized among the members of a network. In this paper we analyze how distributed ledgers can be used for empowering end-users to self-manage their own data, enabling third parties to access those data under a cryptographic management model. We propose a use case where both blockchain and smart contracts are employed by using cryptographic technology to enable user empowerment of data management in AmI. Finally, we analyze strengths and weaknesses of the proposed scenario.

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Cryptanalysis of Three Authenticated Encryption Schemes for Wireless Sensor Networks

Wang

et al. 2014

Information Security and Cryptology

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On Efficient Data Integrity and Data Origin Authentication for Wireless Sensor Networks Utilising Block Cipher Design Techniques

Cited by 5 publications

References 9 publications

Blockchain-Based Data Audit Mechanism for Integrity over Big Data Environments

Blockchain-Based Data Audit Mechanism for Integrity over Big Data Environments

Blockchain Technologies for Private Data Management in AmI Environments

Cryptanalysis of Three Authenticated Encryption Schemes for Wireless Sensor Networks

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