A Certificateless Signcryption Mechanism Based on Blockchain for Edge Computing

Xu, Guangxia; Dong, Jingnan; Ma, Chuang; Liu, Jun; Cliff, Uchani Gutierrez Omar

doi:10.1109/jiot.2022.3151359

Cited by 34 publications

(31 citation statements)

References 38 publications

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“…IoT devices link to the cloud through some communication media. The data collected by the sensor reaches the cloud through the core network for processing [62]. IoT devices are more deeply embedded in the privacy of people's lives, and their security issues cannot be ignored.…”

Section: Discussionmentioning

confidence: 99%

SPCBIG-EC: A Robust Serial Hybrid Model for Smart Contract Vulnerability Detection

Zhang

Jin³

et al. 2022

Sensors

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With countless devices connected to the Internet of Things, trust mechanisms are especially important. IoT devices are more deeply embedded in the privacy of people’s lives, and their security issues cannot be ignored. Smart contracts backed by blockchain technology have the potential to solve these problems. Therefore, the security of smart contracts cannot be ignored. We propose a flexible and systematic hybrid model, which we call the Serial-Parallel Convolutional Bidirectional Gated Recurrent Network Model incorporating Ensemble Classifiers (SPCBIG-EC). The model showed excellent performance benefits in smart contract vulnerability detection. In addition, we propose a serial-parallel convolution (SPCNN) suitable for our hybrid model. It can extract features from the input sequence for multivariate combinations while retaining temporal structure and location information. The Ensemble Classifier is used in the classification phase of the model to enhance its robustness. In addition, we focused on six typical smart contract vulnerabilities and constructed two datasets, CESC and UCESC, for multi-task vulnerability detection in our experiments. Numerous experiments showed that SPCBIG-EC is better than most existing methods. It is worth mentioning that SPCBIG-EC can achieve F1-scores of 96.74%, 91.62%, and 95.00% for reentrancy, timestamp dependency, and infinite loop vulnerability detection.

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Section: Discussionmentioning

confidence: 99%

SPCBIG-EC: A Robust Serial Hybrid Model for Smart Contract Vulnerability Detection

Zhang

Jin³

et al. 2022

Sensors

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“…The study does not mention the application of FL in healthcare. Xu et al [110] proposed a lightweight signcryption mechanism in the edge computing environment, that guarantees authentication and confidentiality of stored records. A certificateless signcryption using blockchain is proposed, such that the user identity is not compromised.…”

Section: Increment In Privacy and Securitymentioning

confidence: 99%

Adoption of Federated Learning for Healthcare Informatics: Emerging Applications and Future Directions

Patel¹,

Bhattacharya

Tanwar

et al. 2022

IEEE Access

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The smart healthcare system has improved the patients quality of life (QoL), where the records are being analyzed remotely by distributed stakeholders. It requires a voluminous exchange of data for disease prediction via the open communication channel, i.e., the Internet to train artificial intelligence (AI) models efficiently and effectively. The open nature of communication channels puts data privacy at high risk and affects the model training of collected data at centralized servers. To overcome this, an emerging concept, i.e., federated learning (FL) is a viable solution. It performs training at client nodes and aggregates their results to train the global model. The concept of local training preserves the privacy, confidentiality, and integrity of the patient's data which contributes effectively to the training process.The applicability of FL in the healthcare domain has various advantages, but it has not been explored to its extent. The existing surveys majorly focused on the role of FL in diverse applications, but there exists no detailed or comprehensive survey on FL in healthcare informatics (HI). We present a relative comparison of recent surveys with the proposed survey. To strengthen healthcare data privacy and increase the QoL of patients, we proposed an FL-based layered healthcare informatics architecture along with the case study on FLbased electronic health records (FL-EHR). We discuss the emerging FL models, and present the statistical and security challenges in FL adoption in medical setups. Thus, the review presents useful insights for both academia and healthcare practitioners to investigate FL application in HI ecosystems.

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“…Access to the registry for the purchase of real estate and the entire process described in this work must be through the official and legal services offered by the government. Some proposals to improve security in the blockchain and its encryption [54,55], together with consensus mechanisms [56,57], can also be applied.…”

Section: Safe Place Administration Distributionsmentioning

confidence: 99%

Blockchain and Smart Contracts to Secure Property Transactions in Smart Cities

Gutierrez

2022

Applied Sciences

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Cities have been growing at an impressive rate, and with the advancement of technology and digitization, new ways have been proposed to provide cities with a certain level of autonomy and intelligence so that they can self-regulate tasks that currently take a lot of time for both citizens and authorities, and which also have a negative impact on the environment. We have recently experienced one of the most abrupt changes in history as a result of the COVID-19 pandemic, where millions of people, businesses, schools, companies, governments, etc., have had to modify their ways of working, in addition to dealing with many other changes in the present moment, the most important of which is the transition to electronic transactions. This is a chance to progress toward smart city transformation and the implementation of models that assist citizens in their ordinary activities. One of the most common activities is the purchase of real estate. In this study, we propose a model to make the purchase and sale of real estate more equitable and fairer, and not just based on the amount of money. A smart home should be able to identify who its current owner is by functioning as an IoT badge, and, after the subject’s identity has been verified, it should be granted full access to all services, or else it should be blocked and/or alerted to the authorities. The use of smart contracts in a blockchain to transfer ownership of a smart home that includes, as inputs, those interested in acquiring a specific house and, as outputs, a person who chose the system based on the requirements previously established by the government of the Smart City. As a result, susceptibility to fraud or interference by a third person is reduced, and an individual’s security of living in a smart home, and therefore, in a smart city, is strengthened.

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A Certificateless Signcryption Mechanism Based on Blockchain for Edge Computing

Cited by 34 publications

References 38 publications

SPCBIG-EC: A Robust Serial Hybrid Model for Smart Contract Vulnerability Detection

SPCBIG-EC: A Robust Serial Hybrid Model for Smart Contract Vulnerability Detection

Adoption of Federated Learning for Healthcare Informatics: Emerging Applications and Future Directions

Blockchain and Smart Contracts to Secure Property Transactions in Smart Cities

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