Titlebook: Security and Privacy in Social Networks and Big Data; 9th International Sy Budi Arief,Anna Monreale,Shujun Li Conference proceedings 2023 T

chondrocyte

书目名称Security and Privacy in Social Networks and Big Data影响因子(影响力)




书目名称Security and Privacy in Social Networks and Big Data影响因子(影响力)学科排名




书目名称Security and Privacy in Social Networks and Big Data网络公开度




书目名称Security and Privacy in Social Networks and Big Data网络公开度学科排名




书目名称Security and Privacy in Social Networks and Big Data被引频次




书目名称Security and Privacy in Social Networks and Big Data被引频次学科排名




书目名称Security and Privacy in Social Networks and Big Data年度引用




书目名称Security and Privacy in Social Networks and Big Data年度引用学科排名




书目名称Security and Privacy in Social Networks and Big Data读者反馈




书目名称Security and Privacy in Social Networks and Big Data读者反馈学科排名

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Narcissist

Conference proceedings 2023h took place in Canterbury, UK, in August 2023..The 10 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: information abuse and political discourse; attacks; social structure and commun

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Graph Analysis of Blockchain P2P Overlays and Their Security Implicationsindings reveal that major blockchain networks have vulnerabilities that make them susceptible to exploitation by malicious actors. Furthermore, despite relying on similar protocols for node discovery and network formation, we observe dissimilar characteristics among these blockchains.

天气

Temporal Analysis of Privacy Enhancing Technology Traffic Using Deep Learningpplication types such as browsing, chat, email, P2P, FTP, audio, video, VoIP, and file-transfer. We apply many standard and popular machine learning and deep learning algorithms to categorize traffic by application and achieved an accuracy of 95.75% for Random Forest which outperforms the best work done till date on the ISCXTor2016 dataset.

INCH

People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformationscience. The public has grown aware of the role of social media as a superspreader of untrustworthy information, where even pandemics have not been immune. In this paper, we focus on COVID-19 misinformation and examine a subset of 2.1M tweets to understand misinformation as a function of engagement,

ADORN

Extracting Common Features of Fake News by Multi-Head-Attentionsearchers have proposed versatile models that can be applied to various fields. In this study, we focus on common features of multiple datasets. The three datasets consisted of 27442 real news and 28359 fake news. Feature extraction is based on attention weights in the BERT (Bidirectional Encoder Re

remission

Twitter Bots Influence on the Russo-Ukrainian War During the 2022 Italian General Electionspean countries. As expected, the role of Italy in the conflict became a major campaign issue for the Italian General Election held on 25 September 2022. Politicians frequently use Twitter to communicate during political campaigns, but bots often interfere and attempt to manipulate elections. Hence,

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