A Decentralized Cryptographic Blockchain Approach for Health Information System

Sosu, Rexford Nii Ayitey; Quist-Aphetsi, Kester; Nana, Laurent

doi:10.1109/iccma.2019.00027

Cited by 17 publications

(4 citation statements)

References 9 publications

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“…In addition to this, the study assessed and evaluated a number of cryptographic methods that could be useful in IoT deployments. Sosu et al [18] developed, constructed, and launched an architecture in which they attempted to leverage Public Key Infrastructure (PKI) and Hyperledger fabric to replicate healthcare process whilst assuring that patients' health files are under the absolute control of the patient exclusively. Moreover, the proxy reencryption was also used for providing access to others with the consent of patients.…”

Section: Literature Surveymentioning

confidence: 99%

Secure Model for IoT Healthcare System under Encrypted Blockchain Framework

Jeet

Hoque

Dugbakie

2022

Security and Communication Networks

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With the advancements in the new technologies like IoT, the healthcare sector is also growing rapidly. The core concept of introducing IoT in the healthcare centers is to make it remotely accessible, so that communication between doctor and patient can be easy, and diagnosis of any disease can be remotely done through the Internet in case of emergency. The major objective of this study is to develop a security framework for the healthcare industry that can encrypt secret data on cloud servers using block-based data encoding. Since any information that is available on the Internet is vulnerable to various attacks, and the medical records of the patients carry sensitive information that must not be accessible to any unauthorized or unauthentic person, in this context, the concept of Blockchain (BC) technology was introduced in the healthcare systems. In the past few years, a number of BC based healthcare models were proposed in the system; however, these systems are decentralized in nature, which is a feature of Blockchain technology, but in certain applications, especially in healthcare, this feature gave rise to a problem termed as disease overlapping when the count of chains gets increased. To solve this issue, a BC based framework is used in this work that has a feature of creating a separate block in the chain every time whenever any alteration in information about patient’s health, any allergies, new symptoms, medications, etc. is updated. In addition to this, securing the sensitive information of patients is taken into consideration by developing an improved and enhanced multilayer Blockchain based IoT data security approach that not only protects the data, but also builds the trust between patients/user and healthcare service providers. The main focused area of this research article is to propose a security framework for healthcare domain that can encrypt the confidential data over cloud server under block-based data encoding. In the proposed approach, 128-bit AES key is generated in order to support the SHA-256 hashing algorithm. Individual user’s data is subdivided to blocks and encrypted to secure it from unauthorized access. An interface-based system is designed to present the real-world usage of the proposed model in healthcare application. Finally, the effectiveness of the proposed approach is validated in the MATLAB software in terms of MAE, RMSE, MSE, encryption time, and decryption time. The RSA and DSA are the most trending encryption algorithms. These algorithms are crucial components of Blockchain technology, implemented in the proposed work, and later on, their performances are also compared with each other to check their effectiveness. The simulation results demonstrated that the proposed encrypting algorithm surpasses the other encryption approaches such as RSA and DSA in all factors to prove its supremacy. The experimental results show that the encryption and decryption time are lowest in the proposed framework; therefore, its performance is more effective and robust. It is also more effective and resilient.

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Section: Literature Surveymentioning

confidence: 99%

Secure Model for IoT Healthcare System under Encrypted Blockchain Framework

Jeet

Hoque

Dugbakie

2022

Security and Communication Networks

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“…SHA-3 family is working based on keccak. SHA3-224 and SHA3-256 is responsible for 128 bits of security level [26]. SHA3-224 produces 64 bytes of hash output and SHA3-256 produces 96 bytes of hash output.…”

Section: Related Workmentioning

confidence: 99%

Modified Elliptic Curve Cryptography Multi-Signature Scheme to Enhance Security in Cryptocurrency

Uganya¹,

Baskar²

2023

Computer Systems Science and Engineering

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Internet of Things (IoT) is an emerging technology that moves the world in the direction of smart things. But, IoT security is the complex problem due to its centralized architecture, and limited capacity. So, blockchain technology has great attention due to its features of decentralized architecture, transparency, immutable records and cryptography hash functions when combining with IoT. Cryptography hash algorithms are very important in blockchain technology for secure transmission. It converts the variable size inputs to a fixed size hash output which is unchangeable. Existing cryptography hash algorithms with digital signature have issues of single node accessibility and accessed up to 128 bytes of key size only. As well as, if the attacker tries to hack the key, it cancels the transaction. This paper presents the Modified Elliptic Curve Cryptography Multi Signature Scheme (MECC-MSS) for multiple node accessibility by finding nearest path for secure transaction. In this work, the input key size can be extended up to 512 bytes to enhance the security. The performance of the proposed algorithm is analyzed with other cryptography hash algorithms like Secure Hashing Algorithms (SHAs) such as SHA224, SHA256, SHA384, SHA512, SHA3-224, SHA3-256, SHA3-384, SHA3-512 and Message Digest5 by one-way analysis of variance test in terms of accuracy and time complexity. Results show that the MECC-MSS achieves 90.85% of accuracy and time complexity of 1.4 nano seconds with significance less than 0.05. From the statistical analysis, it is observed that the proposed algorithm is significantly better than other cryptography hash algorithms and also having less time complexity.

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“…Brent and colleagues [20] presented 'Ethainter,' a security analyser for detecting smart contract composite vulnerabilities. The Ethainter outperformed other smart contract security analysis tools in contrast, according to the authors, because of its ability to blend completeness and accuracy.…”

Section: Other Techniquesmentioning

confidence: 99%

“…A blockchain is a distributed list of blocks, each of which is uniquely known by its cryptographic hash [20]. Each block contains a connection to the block preceding it, forming a chain of blocks.…”

Section: Blockchainmentioning

confidence: 99%

A Vulnerability Detection Approach for Automated Smart Contract Using Enhanced Machine Learning Techniques

Sosu

Chen

Brown-Acquaye

et al. 2022

Preprint

Self Cite

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A typical contract would necessitate the use of an intermediary, make a payment to them, then wait for the record to return. Through a smart contract, though, it is as easy as putting the bitcoin into the vending machine, and the products would be published instantly. Smart contracts are Blockchain-based autonomous software. On Ethereum, a vast number of smart contracts have been deployed. Meanwhile, transaction security vulnerabilities have resulted in significant financial damages and have harmed the contract layer’s ecological integrity on Blockchain. As a result, detecting contract bugs reliably and efficiently is a new yet critical problem. Currently, available identification approaches, such as Oyente and Securify, depend primarily on symbolic execution or analysis. Since symbolic execution necessitates the discovery of all executable routes or the study of dependence diagrams in a contract, these approaches are time-consuming. In this paper, we suggest SmartPol, a machine learning-based method for detecting vulnerabilities in smart contracts. First, we use a data pre-processor to clean up the data before extracting features and classifying them. Second, we present a PSOGSA-based method for data optimisation and function extraction and a TSVM-based approach for semi-supervised learning classification models to identify smart contract vulnerabilities automatically. On EtherScan, SmartPol was used to test 49512 real-world smart contracts. The experimental findings show SmartPol’s reliability and efficacy. When we use PSOGSA for function extraction and TSVM classification sets, SmartPol’s predictive precision and accuracy are over 96%, and the average prediction time is 4 seconds on each smart contract.

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A Decentralized Cryptographic Blockchain Approach for Health Information System

Cited by 17 publications

References 9 publications

Secure Model for IoT Healthcare System under Encrypted Blockchain Framework

Secure Model for IoT Healthcare System under Encrypted Blockchain Framework

Modified Elliptic Curve Cryptography Multi-Signature Scheme to Enhance Security in Cryptocurrency

A Vulnerability Detection Approach for Automated Smart Contract Using Enhanced Machine Learning Techniques

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