CES Blocks—A Novel Chaotic Encryption Schemes-Based Blockchain System for an IoT Environment

Durga, R.; Poovammal, E.; Ramana, Kadiyala; Jhanveri, Rutvij H.; Singh, Saurabh; Yoon, Boram

doi:10.1109/access.2022.3144681

Cited by 31 publications

(15 citation statements)

References 39 publications

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“…Vangala et al designed a new authenticated key agreement mechanism envisioned in smart contract-based blockchains in the context of smart agriculture to enhance the persistence and auditability of data stored in blocks [ 45 ]. Durga et al proposed a novel chaotic encryption-based blockchain IoT architecture to ensure data security and privacy in fields such as agriculture [ 46 ]. In the practical application of blockchain, the secure interaction of data is conducive to building trust among blockchain users, and the promotion and use of blockchain in the field of agricultural products and food.…”

Section: Literature Reviewmentioning

confidence: 99%

“…References [ 40 , 41 , 42 , 43 ] innovated and improved the blockchain architecture, but lacked details regarding the application, such as security, consensus efficiency, etc. References [ 44 , 45 , 46 , 47 , 48 , 49 ] improve the secure interaction of data and the efficiency of consensus, but the blockchain architecture they adopt renders it difficult to carry the complex data characteristics of agricultural and food supply chains. However, the increasingly frequent and diverse data requests and operations in the rice supply chain urgently need to improve the application of blockchain, mainly in the following aspects.…”

Section: Introductionmentioning

confidence: 99%

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A Refined Supervision Model of Rice Supply Chain Based on Multi-Blockchain

Peng

Zhang

Wang

et al. 2022

Foods

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With the development of Agriculture 4.0, the requirements for sustainable agriculture and precision agriculture continue to grow. As one of the three major staple foods globally, the quality and safety of rice affect human health as well as social development. To ensure the quality and safety of rice and reduce the flow of problematic rice, a multi-layer blockchain-based rice supply chain refinement supervision model MBRRSM (Multi-blockchain Rice Refined Supervision Model) is proposed from the information level. First, the characteristics of information flow in the rice supply chain are analyzed, and a classification table of key information is constructed. Second, the MBRRSM framework is designed. Based on a multi-party hybrid encryption algorithm, secure multi-party computing algorithm, multi-mode storage mechanism, and SPOP (Supervision Proof of Peers) consensus algorithm, a set of mechanisms is designed for the transmission, use, storage, and consensus of rice data in MBRRSM. Subsequently, the security and performance capabilities of MBRRSM are analyzed. Meanwhile, the SPOP consensus algorithm is analyzed. Finally, a prototype system is built based on MBRRSM and verified through exemplary scenarios in different usage situations. The results show that research on the refined supervision of the rice supply chain based on multi-blockchain can finely supervise all types of data in the rice supply chain, and provide a guarantee for enterprise users to safely transmit and use data with different privacy levels. This study presents a unique research paradigm that introduces the theories and methods of the new information field generation into the field of agricultural research, and thus assists in the strategy implementation of “holding grain in the land and storing grain in technology”.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Refined Supervision Model of Rice Supply Chain Based on Multi-Blockchain

Peng

Zhang

Wang

et al. 2022

Foods

View full text Add to dashboard Cite

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“…The providers' and requesters' data stored in the blockchain nodes (60). To maintain data privacy, only learning models are shared instead of original data information (61). In the first phase, each hospital uploads the image datasets for collaboratively learning.…”

Section: Blockchain-based Data Sharing Processmentioning

confidence: 99%

FLED-Block: Federated Learning Ensembled Deep Learning Blockchain Model for COVID-19 Prediction

Durga

Poovammal

2022

Front. Public Health

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With the SARS-CoV-2's exponential growth, intelligent and constructive practice is required to diagnose the COVID-19. The rapid spread of the virus and the shortage of reliable testing models are considered major issues in detecting COVID-19. This problem remains the peak burden for clinicians. With the advent of artificial intelligence (AI) in image processing, the burden of diagnosing the COVID-19 cases has been reduced to acceptable thresholds. But traditional AI techniques often require centralized data storage and training for the predictive model development which increases the computational complexity. The real-world challenge is to exchange data globally across hospitals while also taking into account of the organizations' privacy concerns. Collaborative model development and privacy protection are critical considerations while training a global deep learning model. To address these challenges, this paper proposes a novel framework based on blockchain and the federated learning model. The federated learning model takes care of reduced complexity, and blockchain helps in distributed data with privacy maintained. More precisely, the proposed federated learning ensembled deep five learning blockchain model (FLED-Block) framework collects the data from the different medical healthcare centers, develops the model with the hybrid capsule learning network, and performs the prediction accurately, while preserving the privacy and shares among authorized persons. Extensive experimentation has been carried out using the lung CT images and compared the performance of the proposed model with the existing VGG-16 and 19, Alexnets, Resnets-50 and 100, Inception V3, Densenets-121, 119, and 150, Mobilenets, SegCaps in terms of accuracy (98.2%), precision (97.3%), recall (96.5%), specificity (33.5%), and F1-score (97%) in predicting the COVID-19 with effectively preserving the privacy of the data among the heterogeneous users.

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“…Xu et al think that for the legal digital currency of "domestic type", we should first define the legal attribute of digital currency in China, divide it into payment token and stable token, and adopt different ways to improve these two tokens [21]. Durga et al suggested that a risk compensation mechanism should be established to make users aware of the defects of blockchain technology, and then implement supervision in a controllable scenario [22]. Khan et al believe that the healthy development of digital currency needs to speed up the expansion of digital currency's application scope and improve the financial supervision system on the premise of keeping pace with the development of digital technologies such as blockchain, so as to keep the forward-looking technology such as blockchain [23].…”

Section: Related Workmentioning

confidence: 99%

Application of Blockchain Technology Based on Privacy Data Protection in RMB Internationalization Path

2022

Mobile Information Systems

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With the integration of industrial Internet of Things technology and traditional industries, industrial Internet of Things has profoundly changed the production mode, organization mode, and business model of traditional industries. While people are enjoying the convenience brought by the Internet, their concerns about personal privacy are gradually increasing. Maintaining the value stability of RMB payment means and the security and efficiency of RMB settlement system are the key measures to promote the internationalization of RMB. Aiming at the problem of data insecurity and untrustworthiness in traditional information systems, this paper proposes a data protection technology for information systems based on blockchain. In the hierarchical authority information system, multichain structure is adopted to divide the authority of nodes in each layer, so that only the nodes with corresponding authority can access and operate data. Private digital currency, which is based on blockchain technology and represented by payment token and stable currency, helps to improve the defects of the agent banking model but increases additional market risks and trust risks. Blockchain technology adopts special networking technology and consensus mechanism. Therefore, in blockchain privacy protection, the focus of blockchain privacy protection is identity information and transaction information.

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CES Blocks—A Novel Chaotic Encryption Schemes-Based Blockchain System for an IoT Environment

Cited by 31 publications

References 39 publications

A Refined Supervision Model of Rice Supply Chain Based on Multi-Blockchain

A Refined Supervision Model of Rice Supply Chain Based on Multi-Blockchain

FLED-Block: Federated Learning Ensembled Deep Learning Blockchain Model for COVID-19 Prediction

Application of Blockchain Technology Based on Privacy Data Protection in RMB Internationalization Path

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