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Security and Privacy in Social Networks and Big Data: 10th International Symposium, SocialSec 2024, Abu Dhabi, United Arab Emirates, November 2022, 2024, Proceedings [Minkštas viršelis]

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  • Formatas: Paperback / softback, 175 pages, aukštis x plotis: 235x155 mm, 65 Illustrations, color; 3 Illustrations, black and white; XII, 175 p. 68 illus., 65 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 15565
  • Išleidimo metai: 21-Mar-2025
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 9819637732
  • ISBN-13: 9789819637737
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 175 pages, aukštis x plotis: 235x155 mm, 65 Illustrations, color; 3 Illustrations, black and white; XII, 175 p. 68 illus., 65 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 15565
  • Išleidimo metai: 21-Mar-2025
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 9819637732
  • ISBN-13: 9789819637737
Kitos knygos pagal šią temą:

This book LNCS 15565 constitutes the referred proceedings of the 10th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2024, held in Abu Dhabi, United Arab Emirates, during November 20–22, 2024.

The 8 full papers and 2 short papers were carefully reviewed and selected from 22 submissions. The conference focus on Analysis of Social Media Perspectives, Privacy and Security Issues, Machine Learning and Intelligent Systems.

Analysis of Social Media Perspectives.- Investigating Influential COVID
19 Perspectives A Multifaceted Analysis of Twitter Discourse.- Influence
Detection in Agetech on Social Platforms using Machine Learning and
Classifier Calibration.- Privacy and Security Issues.- ChatGPT Through the
Users' Eyes Sentiment Analysis of Privacy and Security Issues.- Extended
Abstract Evaluating Cross Chain Platforms for EV Charging Payment Systems.-
Using M5Stack Core 2 ESP32 to Raise Children's Awareness about Cyber
Security.- Machine Learning and Intelligent Systems.- ELITE Efficient and
Secure Machine Learning for Intelligent Perception in Smart Road
Infrastructure.- Gamma Sampling for Intrusion Detection with Imbalanced
Data.- SmartAudit Smart Contract Vulnerability Detection using Transfer
Learning.- FLAIR A Federated Learning Approach Against Inference Attacks and
Risks.- Secure Aggregation of Smartwatch Health Data with LDP.