Corpus ID: 212508212

A survey on: Malicious Application and Fake user Detection in Facebook using Data Mining

@inproceedings{Kumbhar2017ASO,
  title={A survey on: Malicious Application and Fake user Detection in Facebook using Data Mining},
  author={Akash Kumbhar and Meghana Wable and Supriya Nigade and Komal Darekar},
  year={2017}
}
  • Akash Kumbhar, Meghana Wable, +1 author Komal Darekar
  • Published 2017
  • Online social networks such as Facebook, Twitter, Hike, Instagram and WhatsApp are popularly used by community peoples for personal and professional use. The main aim of using networking sites are sharing photos, audio and video files and other media also written works, posting a resume for job searching etc. Along these apps Facebook is widely used for communicating past and current friends, for advertising about business, products, textiles, education, etc. Before using these sites, we also… CONTINUE READING

    References

    SHOWING 1-10 OF 20 REFERENCES
    Towards detecting fake user accounts in facebook
    • 20
    Detecting and characterizing social spam campaigns
    • 329
    • PDF
    Towards Online Spam Filtering in Social Networks
    • 170
    • PDF
    Towards Detecting Anomalous User Behavior in Online Social Networks
    • 210
    • PDF
    Efficient and Scalable Socware Detection in Online Social Networks
    • 95
    • PDF
    WarningBird: Detecting Suspicious URLs in Twitter Stream
    • 190
    • PDF
    Design and Evaluation of a Real-Time URL Spam Filtering Service
    • 458
    • PDF
    Uncovering social network Sybils in the wild
    • 388
    • PDF