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Privacy-preserving V2I communication and secure authentication using ECC with physical unclonable function
In recent years, service provided based on the location has brought a tremendous change in our lives. However, one of the biggest challenges is to...
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RETRACTED ARTICLE: Research on privacy and secure storage protection of personalized medical data based on hybrid encryption
Personalized medical data privacy and secure storage protection face serious challenges, especially in terms of data security and storage efficiency....
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PPSecS: Privacy-Preserving Secure Big Data Storage in a Cloud Environment
The proliferation of social networks, the Internet of Things, and economic mobility has led to an exponential increase in data. New data having high...
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A new method for privacy preserving association rule mining using homomorphic encryption with a secure communication protocol
With the enormous amount of data growing exponentially, data owners aim to share data with each other to acquire an enhanced analytic view of their...
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A hybrid data perturbation and mean clustering approach based privacy preserving classification model for large databases
Privacy preserving in large databases plays a vital role for the clustering and classification process. Since, most of the traditional models are...
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CADEN: cellular automata and DNA based secure framework for privacy preserving in IoT based healthcare
In the present E-healthcare industry, data breaches result in substantial economic losses due to cyber-attacks and hence create a trust deficit...
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Secure shortest distance queries over encrypted graph in cloud computing
Graph databases have received increased interests as many applications are handled as graph problems. Shortest distance queries are one of the...
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Fedlabx: a practical and privacy-preserving framework for federated learning
Federated learning (FL) draws attention in academia and industry due to its privacy-preserving capability in training machine learning models....
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An Analysis of Ethics-Based Foundation and Regulatory Issues for Genomic Data Privacy
The ethical issues raised by the privacy of bioinformatics data storage are the core of our investigation. The storage, use, and sharing of genomic...
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Reconciling privacy and accuracy in AI for medical imaging
Artificial intelligence (AI) models are vulnerable to information leakage of their training data, which can be highly sensitive, for example, in...
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Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications
Knowledge Graph (KG) has attracted more and more companies’ attention for its ability to connect different types of data in meaningful ways and...
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ρi-BLoM: a privacy preserving framework for the industrial IoT based on blockchain and machine learning
The Industrial Internet of Things (IoT) comes together with different services, industrial applications, sensors, machines, and databases. Industrial...
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Secure and Privacy Preserving Proxy Biometric Identities
With large-scale adaption to biometric based applications, security and privacy of biometrics is utmost important especially when operating in...
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Enhancing Security and Privacy in Small Drone Networks Using 6G-IOT Driven Cyber Physical System
The purpose of this abstract is to present a concise summary of a study that sought to enhance the cybersecurity of 6G-IoT drone devices through the...
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Secure Keyword Search over Encrypted Cloud Data Using Blockchain in Digital Document Sharing
Due to the drawbacks of the many-to-many search model for accessing digital records in institutional settings like offices, hospitals, and government...
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Location Privacy Preservation for Location Based Service Applications: Taxonomies, Issues and Future Research Directions
Context-aware computing processes the mobile user’s query/transaction submitted from anywhere at any time. Basically, location based services (LBSs)...
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Enabling efficient and verifiable secure search on cloud-based encrypted big data
Verifiable symmetric searchable encryption schemes have received a lot of attention as they can guarantee the correctness of query results in case of...
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Privacy-Preserving Collaborative Data Mining
Privacy-preserving data mining is an important issue in the areas of data mining and security. In this paper, we study how to conduct association...
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A Hybrid Cryptographic Mechanism for Secure Data Transmission in Edge AI Networks
As Edge AI systems become more prevalent, ensuring data privacy and security in these decentralized networks is essential. In this work, a novel...
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Federated Learning and Adaptive Privacy Preserving in Healthcare
Real-world health data for machine learning tasks addresses many issues related to storage, access and privacy concerns on the centralized databases....