A Hybrid Approach for Detecting Spammers in Online Social Networks-Reference-Cited by-同舟云学术

A Hybrid Approach for Detecting Spammers in Online Social Networks

Published:2018 Issue: Volume: Page:189-198
ISSN:0302-9743
Container-title:Web Information Systems Engineering – WISE 2018
language:
Short-container-title:

Author:

Alghamdi Bandar^ORCID,Xu Yue^ORCID,Watson Jason^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-02922-7_13

Reference19 articles.

1. Martinez-Romo, J., Araujo, L.: Detecting malicious tweets in trending topics using a statistical analysis of language. Expert Syst. Appl. 40(8), 2992–3000 (2013)

2. Benevenuto, F., et al.: Detecting spammers on twitter. In: Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference (CEAS) (2010)

3. Egele, M., Stringhini, G., Kruegel, C., Vigna, G.: COMPA: detecting compromised accounts on social networks. In: NDSS, 2013. NDSS, San Diego (2013)

4. Kaur, R., Singh, S., Kumar, H.: Rise of spam and compromised accounts in online social networks: a state-of-the-art review of different combating approaches. J. Netw. Comput. Appl. 112, 53–88 (2018)

5. Fu, Q., et al.: Combating the evolving spammers in online social networks. Comput. Secur. 72, 60–73 (2018)

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