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Academic Journal

Differentially private approximate pattern matching

Subjects: Differential privacy; Pattern matching

  • Source: Steiner , T A 2024 , Differentially private approximate pattern matching . in Proceedings of the 15th Innovations in Theoretical Computer Science Conference (ITCS 2024) . vol. 287 , 94 , Schloss

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Academic Journal

Practical Privacy-Preserving Scheme With Fault Tolerance for Smart Grids

Subjects: Smart grid; Privacy-preserving; Load prediction

  • Source: Chang , Y , Li , J , Lu , N , Shi , W , Su , Z & Meng , W 2024 , ' Practical Privacy-Preserving Scheme With Fault Tolerance for Smart Grids ' , IEEE Internet of Things

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Academic Journal

Decentralized Threshold Signatures with Dynamically Private Accountability

Subjects: Threshold Signature; Security; Privacy

  • Source: Li , M , Ding , H , Wang , Q , Zhang , M , Meng , W , Zhu , L , Zhang , Z & Lin , X 2024 , ' Decentralized Threshold Signatures with Dynamically Private Accountability ' , IEEE Transactions on

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Academic Journal

A Review of Lightweight Security and Privacy for Resource-Constrained IoT Devices

Subjects: IoT; A sensor device; Block cipher

  • Source: Kumar , S , Kumar , D , Dangi , R , Choudhary , G , Dragoni , N & You , I 2024 , ' A Review of Lightweight Security and Privacy for Resource-Constrained IoT Devices ' ,

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Book

Private Authentication with Alpha-Beta Privacy

Subjects: Privacy; Authentication; Unlinkability

  • Source: Fernet , L & Mödersheim , S 2023 , Private Authentication with Alpha-Beta Privacy . in Proceedings of the Open Identity Summit 2023 . Gesellschaft für Informatik e.V.

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Academic Journal

SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework

Subjects: Knowledge graph; Link prediction; Mobile apps

  • Source: Dave , D , Sharma , A , Abdulhamid , S M , Ahmed , A , Akhunzada , A & Amin , R 2023 , ' SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework ' , IEEE Access

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Academic Journal

Federated-WDCGAN: A federated smart meter data sharing framework for privacy preservation

Subjects: Data generation; Energy consumption data; Federated learning

  • Source: Chen , Z , Li , J , Cheng , L & Liu , X 2023 , ' Federated-WDCGAN: A federated smart meter data sharing framework for privacy preservation ' , Applied Energy , vol. 334

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Academic Journal

Privacy-Based Demand Response Modeling for Residential Consumers Using Machine Learning with a Cloud–Fog-Based Smart Grid Environment

Subjects: Demand response; Discounted stochastic game; GAN Q-learning

  • Source: Reka , S S , Venugopal , P , Ravi , V & Dragicevic , T 2023 , ' Privacy-Based Demand Response Modeling for Residential Consumers Using Machine Learning with a

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Academic Journal

Blockchain-based Privacy Preservation Scheme for Misbehavior Detection in Lightweight IoMT Devices

Subjects: Federated learning; Blockchain; Blockchains

  • Source: Rahmadika , S , Astillo , P V , Choudhary , G , Duguma , D G , Sharma , V & You , I 2023 , ' Blockchain-based Privacy Preservation Scheme for Misbehavior Detection in

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Academic Journal

Energy data generation with Wasserstein Deep Convolutional Generative Adversarial Networks

Subjects: Data Sharing; Generative Adversarial Network; Privacy Protection

  • Source: Li , J , Chen , Z , Cheng , L & Liu , X 2022 , ' Energy data generation with Wasserstein Deep Convolutional Generative Adversarial Networks ' , Energy , vol. 257 , 124694 .

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