A Security-Enhanced and Privacy-Preserving Certificateless Aggregate Signcryption Scheme-Based Artificial Neural Network in Wireless Medical Sensor Network

Ren, Runtao; Su, Jinqi

doi:10.1109/jsen.2023.3247581

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…Ogundoyin et al presented a formal security analysis of their design under the standard cryptographic assumption. To achieve aggregate authentication and data confidentiality, there are also several certificateless signcryption schemes [14,15] in the literature. However, they cannot achieve fine-grained access control.…”

Section: Introductionmentioning

confidence: 99%

Cryptanalysis of Two Privacy-Preserving Authentication Schemes for Smart Healthcare Applications

Luo

Rahman

2023

Mathematics

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Ensuring the secure sharing of privacy-sensitive healthcare data is attracting considerable interest from researchers. Recently, Ogundoyin et al. designed a lightweight privacy-preserving authentication scheme named PAASH for smart health applications. Benil et al. proposed a public verification and auditing scheme named ECACS for securing e-health systems. Ogundoyin et al. and Benil et al. proposed an efficient certificateless aggregate signature (CLAS) scheme as their respective foundation signature schemes. They declared that their constructions were provably secure under the hardness assumption of cryptographic problems. In this work, we disprove their claim by analyzing the correctness and security of their underlying CLAS schemes. We first show that the batch verification process of n signatures for the CLAS scheme in PAASH is incorrect, and any public-key replacement attacker can easily break the scheme. We analyze the reasons for our attack and propose an improved scheme, named PAASH+. We then show that the CLAS scheme in ECACS fails to achieve correctness, an essential property that a cryptographic scheme should provide. As a result, it is impractical to deploy the designed PAASH and ECACS constructions in any real smart health applications.

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Section: Introductionmentioning

confidence: 99%

Cryptanalysis of Two Privacy-Preserving Authentication Schemes for Smart Healthcare Applications

Luo

Rahman

2023

Mathematics

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“…Essentially, the blockchain is a decentralized, secure ledger that links devices, systems, plants and regions through a hierarchical chain structure, particularly for data decision-making [3]. It can be combined with industrial networks to provide responsibility and trade and has a wide range of applications [4]. Currently, the existing asset trading technology is centralized, where data and information are stored in a centralized database, and the transaction process is completed by a "trusted" third party institution [5].…”

Section: Introductionmentioning

confidence: 99%

Reliable blockchain-based ring signature protocol for online financial transactions

2023

KSII TIIS

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The rise of Industry 5.0 has led to a smarter and more digital way of doing business, but with it comes the issue of user privacy and security. Only when privacy and security issues are addressed, will users be able to transact online with greater peace of mind. Thus, to address the security and privacy problems associated with industry blockchain technology, we propose a privacy protection scheme for online financial transactions based on verifiable ring signatures and blockchain by comparing and combining the unconditional anonymity provided by ring signatures with the high integrity provided by blockchain technology. Firstly, we present an algorithm for verifying ring signature based on distributed key generation, which can ensure the integrity of transaction data. Secondly, by using the block chain technique, we choose the proxy node to send the plaintext message into the block chain, and guarantee the security of the asset transaction. On this basis, the designed scheme is subjected to a security analysis to verify that it is completely anonymous, verifiable and unerasable. The protection of user privacy can be achieved while enabling online transactions. Finally, it is shown that the proposed method is more effective and practical than other similar solutions in performance assessment and simulation. It is proved that the scheme is a safe and efficient online financial transaction ring signature scheme.

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A Security-Enhanced and Privacy-Preserving Certificateless Aggregate Signcryption Scheme-Based Artificial Neural Network in Wireless Medical Sensor Network

Cited by 2 publications

References 33 publications

Cryptanalysis of Two Privacy-Preserving Authentication Schemes for Smart Healthcare Applications

Cryptanalysis of Two Privacy-Preserving Authentication Schemes for Smart Healthcare Applications

Reliable blockchain-based ring signature protocol for online financial transactions

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