Integro: Leveraging Victim Prediction for Robust Fake Account Detection in OSNs

Cited by (134)

Items 101–134 of 134

1. Fake reviews tell no tales? Dissecting click farming in content-generated social networks
   Haizhong Zheng, Neng Li, Minhui Xue, Suguo Du, Haojin Zhu · 2017 · IEEE/CIC International Conference on Communications in China (ICCC)
2. Forecasting Suspicious Account Activity at Large-Scale Online Service Providers
   Hassan H. Halawa, Konstantin Beznosov, Barış Coşkun, Meizhu Liu, Matei Ripeanu · 2019 · Lecture notes in computer science
3. TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook
   Nima Noorshams, Saurabh Manaswita Verma, Aude Hofleitner · 2020 · arXiv (Cornell University)
4. Detection of Fake Profiles in Online Social Networks – A Survey
   Rajdavinder Singh Boparai, Rekha Bhatia · 2022 · SSRN Electronic Journal
5. Towards understanding bogus traffic service in online social networks
   Ping He, Xuhong Zhang, Changting Lin, Ting Wang, Shouling Ji · 2024 · Frontiers of Information Technology & Electronic Engineering
6. Comparison of Various Data Mining Techniques for Fake Profile Detection on Twitter
   Swati Gupta, Sonal Saurabh · 2025 · Communications in computer and information science
7. Efficient Approaches to Mitigate the Effect of Sybil Attack in MANET for High Network Lifetime: A review
   Reetu Kumari, Maitreyee Dutta · 2018 · International Conference on Parallel, Distributed and Grid Computing (PDGC)
8. A Contextual Approach Protecting Online Privacy, A Crucial Need
   Muhammad Ahmad Nawaz Ul Ghani, Emmen Farooq, Khurshid Asghar · 2019 · International Conference on Innovative Computing (ICIC)
9. Auto Fill Security Solution Using Biometric Authentication for Fake Profile Detection in OSNs
   Brij Bhooshan Gupta, Somya Ranjan Sahoo, Vaibhav Bhatia, Adil Arafat, Abhik Setia · 2020 · Advances in information security, privacy, and ethics book series
10. Analysis of Sybil Attacks in Online Social Networks Using SyPy
    Christina Roseline, Blessy Antony, Bijitha Balakrishnan, C. V. Chaithra, P. V. Bhavyasree · 2021 · Lecture notes in networks and systems
11. Examining production, dissemination, and consumption of misinformation: the case of COVID-19 pandemic
    Yuzhang Han · 2021 · NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)
12. ANDRuspex: Leveraging Graph Representation Learning to Predict Harmful App Installations on Mobile Devices
    Yun Cheng Shen, Gianluca Stringhini · 2021 · IEEE European Symposium on Security and Privacy
13. New Threats to SMS-Assisted Mobile Internet Services from 4G LTE: Lessons Learnt from Distributed Mobile-Initiated Attacks towards Facebook and Other Services
    Guan-Hua Tu, Yuanjie Li, Chunyi Peng, Chi-Yu Li, Muhammad Taqi Raza, Hsiao-Yun Tseng, Songwu Lu · 2015 · arXiv (Cornell University)
14. Towards Secure and Privacy-Preserving Online Social Networking Services
    Zhenqiang Gong · 2015 · UC Berkeley
15. New Threats to SMS-Assisted Mobile Internet Services from 4G LTE Networks.
    Guan-Hua Tu, Yuanjie Li, Chunyi Peng, Chi-Yu Li, Muhammad Taqi Raza, Hsiao-Yun Tseng, Songwu Lu · 2015 · arXiv (Cornell University)
16. Spying on Spammers: Tracking Like Farm Accounts on Facebook.
    Muhammad Ikram, Lucky Onwuzurike, Emiliano De Cristofaro, Arik Friedman, Guillaume Jourjon, Mohamed Ali Kâafar, Muhammad Shafiq · 2015 · arXiv (Cornell University)
17. Combating Fraud in Online Social Networks: Characterizing and Detecting Facebook Like Farms
    Muhammad Ikram, Lucky Onwuzurike, Shehroze Farooqi, Emiliano De Cristofaro, Arik Friedman, Guillaume Jourjon, Mohammad Ali Kaafar, Muhammad Shafiq · 2015 · arXiv (Cornell University)
18. Beat the DIVa - decentralized identity validation for online social networks
    Leila Bahri, Amira Soliman, Jacopo Squillaci, Barbara Carminati, Elena Ferrari, Šarūnas Girdzijauskas · 2016 · IEEE International Conference on Data Engineering (ICDE)
19. Fake Likers Detection on Facebook
    Badri Satya, Prudhvi Ratna Badri Satya · 2016
20. Improving Accuracy of Sybil Account Detection in OSNs by Leveraging Victim Prediction
    Qingqing Zhou, Zhigang Chen, Rui Huang · 2017 · Communications in computer and information science
21. Catching Loosely Synchronized Behavior in Face of Camouflage
    Yikun Ban, Jiao Sun, Xin Liu · 2018 · arXiv (Cornell University)
22. Redes Neurais Convolucionais na Detecção de Bots Sociais: Um Método Baseado na Clusterização de Mensagens Textuais
    Paulo A. Braz, Ronaldo Ribeiro Goldschmidt · 2018 · Simpósio Brasileiro de Cibersegurança (SBSeg)
23. آلیات التضلیـل الإعلامی فی الخطاب الخبری للصفحات الزائفة المنتحلة لأسماء الصحف المصریة على شبکة الفیسبوک"
    ایمان محمد حسنی عبدالله · 2019 · Al-Maǧallah Al-Miṣriyyaẗ Li-Buḥūṯ Al-Rāʼī Al-ʿām
24. A Novel Defending Scheme for Graph-Based Classification Against Graph Structure Manipulating Attack
    Quanyu Zhao, Fengqian Zhang, Yuan Zhang · 2020 · Communications in computer and information science
25. Behavioural Analysis Based Risk Assessment in Online Social Networks
    N. Teja Sree, G. Sumalatha · 2020 · Lecture notes in electrical engineering
26. RICC: Robust Collective Classification of Sybil Accounts
    Dongwon Shin, Suyoung Lee, Sooel Son · 2023 · International World Wide Web Conference (WWW)
27. Peer Review #3 of "Application of interval type-2 fuzzy logic and type-1 fuzzy logic-based approaches to social networks for spam detection with combined feature capabilities (v0.1)"
    2023 · PeerJ Computer Science
28. Peer Review #3 of "Application of interval type-2 fuzzy logic and type-1 fuzzy logic-based approaches to social networks for spam detection with combined feature capabilities (v0.2)"
    2023 · PeerJ Computer Science
29. Peer Review #1 of "Application of interval type-2 fuzzy logic and type-1 fuzzy logic-based approaches to social networks for spam detection with combined feature capabilities (v0.2)"
    2023 · PeerJ Computer Science
30. Peer Review #1 of "Application of interval type-2 fuzzy logic and type-1 fuzzy logic-based approaches to social networks for spam detection with combined feature capabilities (v0.1)"
    2023 · PeerJ Computer Science
31. Peer Review #2 of "Application of interval type-2 fuzzy logic and type-1 fuzzy logic-based approaches to social networks for spam detection with combined feature capabilities (v0.1)"
    2023 · PeerJ Computer Science
32. Seeing is Not Always Believing: An Empirical Analysis of Fake Evidence Generators
    Zhaojie Hu, Jingzhou Ye, Yifan Zhang, Xueqiang Wang · 2024 · IEEE European Symposium on Security and Privacy
33. Universal Adversarial Attack for Sybil Detection System
    Xin Yao, Keqi Huang, Ting Shan Yao · 2024 · IEEE Conference on Communications and Network Security
34. Discouraging abusive behavior in privacy-preserving decentralized online social networks
    Álvaro García-Recuero · 2017 · theses.fr (ABES)