Outsourced privacy-preserving anomaly detection in time series of multi-party
Author:
Affiliation:
1. School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
2. National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/6245522/9722764/09722783.pdf?arnumber=9722783
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3. Privacy-preserving anomaly counting for time-series data in edge-assisted crowdsensing;Computer Standards & Interfaces;2023-04
4. A novel hybrid optimization enabled robust CNN algorithm for an IoT network intrusion detection approach;PLOS ONE;2022-12-01
5. Deep Learning-based Automatic 3D Printer Anomaly Detection during the Printing Process;2022 3rd International Conference on Smart Electronics and Communication (ICOSEC);2022-10-20
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