Detecting Fake Accounts in Online Social Networks at the Time of Registrations-Reference-Cited by-同舟云学术

Detecting Fake Accounts in Online Social Networks at the Time of Registrations

Published:2019-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security
language:
Short-container-title:

Author:

Yuan Dong¹,Miao Yuanli¹,Gong Neil Zhenqiang²,Yang Zheng¹,Li Qi¹,Song Dawn³,Wang Qian⁴,Liang Xiao⁵

Affiliation:

1. Tsinghua University, Beijing, China

2. Duke University, Durhamn, NC, USA

3. University of California, Berkeley, Berkeley, CA, USA

4. Wuhan University, Wuhan, China

5. Tencent, Shenzhen, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3319535.3363198

Reference57 articles.

1. Fabricio Benevenuto Gabriel Magno Tiago Rodrigues and Virgilio Almeida. 2010. Detecting spammers on twitter. In CEAS . Fabricio Benevenuto Gabriel Magno Tiago Rodrigues and Virgilio Almeida. 2010. Detecting spammers on twitter. In CEAS .

2. Fast unfolding of communities in large networks

3. Integro: Leveraging Victim Prediction for Robust Fake Account Detection in OSNs;Boshmaf Yazan;NDSS,2015

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Secure Aggregation for Privacy-preserving Federated Learning in Vehicular Networks;ACM Journal on Autonomous Transportation Systems;2024-07-23

2. Seeing is Not Always Believing: An Empirical Analysis of Fake Evidence Generators;2024 IEEE 9th European Symposium on Security and Privacy (EuroS&P);2024-07-08

3. LDPGuard: Defenses Against Data Poisoning Attacks to Local Differential Privacy Protocols;IEEE Transactions on Knowledge and Data Engineering;2024-07

4. Byzantine detection for federated learning under highly non-IID data and majority corruptions;Wireless Networks;2024-06-24

5. Formal Model-Driven Analysis of Resilience of GossipSub to Attacks from Misbehaving Peers;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19