Cristin-resultat-ID: 1250135
Sist endret: 8. desember 2016, 09:42
NVI-rapporteringsår: 2015
Resultat
Vitenskapelig artikkel
2015

ELM-based spammer detection in social networks

Bidragsytere:
  • Xianghan Zheng
  • Xueying Zhang
  • Yuanlong Yu
  • Tahar Kechadi og
  • Chunming Rong

Tidsskrift

The Journal of Supercomputing
ISSN 0920-8542
e-ISSN 1573-0484
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2015
Publisert online: 2015
Trykket: 2016
Volum: 72
Hefte: 8
Sider: 2991 - 3005

Importkilder

Scopus-ID: 2-s2.0-84928974824

Beskrivelse Beskrivelse

Tittel

ELM-based spammer detection in social networks

Sammendrag

Abstract Online social networks, such as Facebook, Twitter, andWeibo have played an important role in people’s common life. Most existing social network platforms, however, face the challenges of dealing with undesirable users and their malicious spam activities that disseminate content, malware, viruses, etc. to the legitimate users of the service. The spreading of spam degrades user experience and also negatively impacts server-side functions such as data mining, user behavior analysis, and resource recommendation. In this paper, an extreme learning machine (ELM)-based supervised machine is proposed for effective spammer detection. The work first constructs the labeled dataset through crawling Sina Weibo data and manually classifying corresponding users into spammer and non-spammer categories. A set of features is then extracted from message content and user behavior and applies them to the ELM-based spammer classification algorithm. The experiment and evaluation show that the proposed solution provides excellent performance with a true positive rate of spammers and non-spammers reaching 99 and 99.95%, respectively. As the results suggest, the proposed solution could achieve better reliability and feasibility compared with existing SVM-based approaches.

Bidragsytere

xianghan zheng

Bidragsyterens navn vises på dette resultatet som Xianghan Zheng
  • Tilknyttet:
    Forfatter
    ved Kina

Xueying Zhang

  • Tilknyttet:
    Forfatter
    ved Kina

Yuanlong Yu

  • Tilknyttet:
    Forfatter
    ved Kina

Tahar kechadi

Bidragsyterens navn vises på dette resultatet som Tahar Kechadi
  • Tilknyttet:
    Forfatter
    ved Irland
Aktiv cristin-person

Rong Chunming

Bidragsyterens navn vises på dette resultatet som Chunming Rong
  • Tilknyttet:
    Forfatter
    ved Institutt for data- og elektroteknologi ved Universitetet i Stavanger
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