Del 15565 - Lecture Notes in Computer Science

Security and Privacy in Social Networks and Big Data

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

Häftad, Engelska, 2025

Av Mousa Al-kfairy, Monther Aldwairi, Kim-Kwang Raymond Choo, Mohammad Tubishat, Saed Alrabaee, Omar Alfandi, Mousa Al-Kfairy

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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

Utgivningsdatum2025-03-21
Mått155 x 235 x 11 mm
Vikt295 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor175
FörlagSpringer Nature Switzerland AG
ISBN9789819637737

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Hårdvara inom Data och it
Nätverk och kommunikation inom Data och it
Referensverk och tvärvetenskap inom Samhalle och politik
IT-säkerhet inom Data och it

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.