Leveraging Crowdsourcing for Efficient Malicious Users Detection in Large-Scale Social Networks

IEEE Internet of Things Journal

Volumn 4, Issue 2, 2017, Pages 330-339

  Yang, Guang ^a   He, Shibo ^b   Shi, Zhiguo ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Crowdsourcing; large scale networks; malicious users detection

Indexed keywords

COST BENEFIT ANALYSIS; CROWDSOURCING; OPTIMIZATION; PROBLEM SOLVING;

BEHAVIOR CONSISTENCY; EXTENSIVE SIMULATIONS; INCENTIVE MECHANISM; LARGE-SCALE NETWORK; OPTIMAL INCENTIVES; OPTIMIZATION PROBLEMS; PARTIAL INFORMATION; STATISTICAL INFORMATION;

CORRELATION DETECTORS;

EID: 85019052345     PISSN: None     EISSN: 23274662     Source Type: Journal    
DOI: 10.1109/JIOT.2016.2560518     Document Type: Article

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