Security and Privacy in Social Networks and Big Data

10th International Symposium, SocialSec 2024, Abu Dhabi, United Arab Emirates, November 20–22, 2024, Proceedings

AvMousa Al-kfairy,Monther Aldwairi

Häftad, Engelska, 2025

Del 15565 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-03-21
Mått:155 x 235 x 11 mm
Vikt:295 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:175
Förlag:Springer Nature Switzerland AG
ISBN:9789819637737

Utforska kategorier

Referensverk och tvärvetenskap inom Samhälle och politik
Nätverk och kommunikation inom Data och IT
IT-säkerhet inom Data och IT

Innehållsförteckning

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.