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Titlebook: Security, Privacy and Data Analytics; Select Proceedings o Udai Pratap Rao,Sankita J. Patel,Andrea Visconti Conference proceedings 2022 The

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發(fā)表于 2025-3-21 20:00:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Security, Privacy and Data Analytics
副標(biāo)題Select Proceedings o
編輯Udai Pratap Rao,Sankita J. Patel,Andrea Visconti
視頻videohttp://file.papertrans.cn/864/863630/863630.mp4
概述Comprises peer-reviewed papers presented during the International Conference on Security, Privacy and Data Analytics.Covers technological advancements in the field of security and privacy.Serves as a
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Security, Privacy and Data Analytics; Select Proceedings o Udai Pratap Rao,Sankita J. Patel,Andrea Visconti Conference proceedings 2022 The
描述.This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2021. The volume covers a wide range of topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. The book will serve as a valuable reference resource for academics and researchers across the globe..
出版日期Conference proceedings 2022
關(guān)鍵詞Access Control; Authentication and Authorization; Anonymity; Application Security; Attacks and Defenses;
版次1
doihttps://doi.org/10.1007/978-981-16-9089-1
isbn_softcover978-981-16-9091-4
isbn_ebook978-981-16-9089-1Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-21 23:19:48 | 只看該作者
A Review on Data Integrity Verification Schemes Based on TPA and Blockchain for Secure Cloud Data S or commodity in ensuring the data for the Data Owner on the remote or cloud-based storage. In this paper, the authors have endeavored to carry out a comprehensive survey of all such efficient solutions proposed to verify the integrity of data involving the use and non-usage of Blockchain in a cloud-based storage system.
板凳
發(fā)表于 2025-3-22 04:24:38 | 只看該作者
Multi-model Emotion Recognition Using Hybrid Framework of Deep and Machine Learning,VM, Decision tree, Random forest, and XGBoost) are used to develop an emotion recognition model using the deep learning-based features. The best weighted-accuracy (WA) and unweighted-accuracy (UWA) are 71 and 66%, respectively, using Random forest classifier with the combination speech, text, and mocap.
地板
發(fā)表于 2025-3-22 05:14:17 | 只看該作者
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發(fā)表于 2025-3-22 10:52:20 | 只看該作者
Privacy Preservation Techniques and Models for Publishing Structured Data, it is necessary to protect the sensitive information of users before publishing. In this paper, the main focus is on the fundamentals of privacy preservation and review of literature where authors have recommended various methods to offer privacy to sensitive data of users.
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發(fā)表于 2025-3-22 16:58:27 | 只看該作者
Conference proceedings 2022 from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. The book will serve as a valuable reference resource for academics and researchers across the globe..
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發(fā)表于 2025-3-22 17:03:52 | 只看該作者
1876-1100 vancements in the field of security and privacy.Serves as a .This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2021. The volume covers a wide range of topics, including big data and analytics, cloud security and privacy, data in
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發(fā)表于 2025-3-23 03:07:34 | 只看該作者
Safeguarding GeoLocation for Social Media with Local Differential Privacy and L-Diversity,sure of trends, business, political situation of a particular location, etc., which if exposed can harm the privacy of the user. In this work, we want to secure the privacy of the Geolocation data of a user with the help of Local Differential privacy and l-diversity. Local Differential Privacy (Loca
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發(fā)表于 2025-3-23 07:16:02 | 只看該作者
Detection of False Data Injection Cyber-Attack in Smart Grid by Convolutional Neural Network-Based ng smart grid operations. At the same time, it is getting more vulnerable to cyberattack such as False Data Injection Attack (FDIA). The critical control process of smart power grid depends on correct State Estimation (SE). A FDIA targets the measurements which are used to calculate SE, thus result
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