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Erschienen in:
A Survey of Using Biometrics for Smart Visual Surveillance: Gait Recognition Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

16. Methods to Detect Cyberthreats on Twitter

verfasst von : Praveen Rao, Charles Kamhoua, Laurent Njilla, Kevin Kwiat

Erschienen in: Surveillance in Action

Verlag: Springer International Publishing

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Abstract

Twitter is a microblogging service where users can post short messages and communicate with millions of users instantaneously. Twitter has been used for marketing, political campaigns, and during catastrophic events. Unfortunately, Twitter has been exploited by spammers and cybercriminals to post spam, spread malware, and launch different kinds of cyberattacks. The ease of following another user on Twitter, the posting of shortened URLs in tweets, the use of trending hashtags in tweets, and so on, have made innocent users the victims of various cyberattacks. This chapter reviews recent methods to detect spam, spammers, cybercus content, and suspicious users on Twitter. It also presents a unified framework for modeling hreats on Twitter are discussed, specifically in the context of big data and adversarial machine learning.

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Vorheriges Kapitel Data Hiding in the Wild: Where Computational Intelligence Meets Digital Forensics
Nächstes Kapitel Detecting Users Who Share Extremist Content on Twitter
Fußnoten
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Metadaten
Titel
Methods to Detect Cyberthreats on Twitter
verfasst von
Praveen Rao
Charles Kamhoua
Laurent Njilla
Kevin Kwiat
Copyright-Jahr
2018
Buch
Surveillance in Action

Print ISBN: 978-3-319-68532-8

Electronic ISBN: 978-3-319-68533-5

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-68533-5_16