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Facebook Inspector (FbI)

Towards automatic real-time detection of malicious content on Facebook

Bibliographic Data

ID4651294
AuthorsPrateek Dewan (0000-0003-4034-1304, Indraprastha Institute of Information Technology Delhi, corresponding author), Ponnurangam Kumaraguru (0000-0001-5082-2078, Indraprastha Institute of Information Technology Delhi)
Year2017
Volume7
Issue1
Publication date2017-12-01
Open AccessYes
TypeARTICLE
VenueSocial Network Analysis and Mining (JOURNAL)
Journal identifiersISSN: 1869-5450 • E-ISSN: 1869-5469
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s13278-017-0434-5
OpenAlexW2608380393
LanguageEN
Citations received2
References cited22

Artificial neural network · Computer security · Exploit · Machine learning · Naive Bayes classifier · Phishing · Random forest · Reputation · Social media · Supervised Learning · Support vector machine · The Internet · World Wide Web · Advanced Malware Detection Techniques · Computer Science · Network Security and Intrusion Detection · Spam and Phishing Detection · Artificial Intelligence

  • Machine learning-based social media bot detection

    Open Access•Malak Aljabri, Rachid Zagrouba et al.•Social Network Analysis and Mining•2023

  • Use of bot and content flags to limit the spread of misinformation among social networks

    Open Access•Candice Lanius, Ryan Weber et al.•Social Network Analysis and Mining•2021

  • Information credibility on twitter

    Open Access•Carlos Castillo, Marcelo Mendoza et al.•Proceedings of the 20th…•2011

  • Twitter under crisis

    Open Access•Marcelo Mendoza, Bárbara Poblete et al.•Proceedings of the First Workshop…•2010

  • Triadic closure in two-mode networks

    Open Access•Tore Opsahl•Social Networks•2013

Citations per year0.4
Citation span2021 - 2023 (3)
Highly citedNo

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