Fraud Analysis and Detection for Real-Time Messaging Communications on Social Networks-Reference-Cited by-同舟云学术

Fraud Analysis and Detection for Real-Time Messaging Communications on Social Networks

Published:2017 Issue:10 Volume:E100.D Page:2267-2274
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

CHEN Liang-Chun¹,HSU Chien-Lung²,LO Nai-Wei³,YEH Kuo-Hui⁴,LIN Ping-Hsien³

Affiliation:

1. Department of Management, Fo Guang University

2. Department of Information Management, Chang Gung University

3. Department of Information Management, National Taiwan University of Science and Technology

4. Department of Information Management, National Dong Hwa University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E100.D/10/E100.D_2016INI0003/_pdf

Reference15 articles.

1. [1] A. Agrawal, S. Kumar, and A.K. Mishra, “Credit card fraud detection: A case study,” International Conference on Computing for Sustainable Global Development, pp.5-7, 2015.

2. [2] M.H. Cahill, D. Lambert, J.C. Pinheiro, and D.X. Sun, “Detecting fraud in the real world,” Handbook of Massive Data Sets, vol.4, pp.911-929, 2002. 10.1007/978-1-4615-0005-6_26

3. [3] S. Freeman, A. Bivens, J. Branch, and B. Szymanski, “Host-Based Intrusion Detection Using User Signatures,” Graduate Research Conference, 2002. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.113.3217&rep=rep1&type=pdf, accessed August 22. 2017.

4. [4] P.-Y. Hui and H.Y. Meng, “Latent semantic analysis for multimodal user input with speech and gestures,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.22, no.2, pp.417-429, 2014. 10.1109/taslp.2013.2294586

5. [5] S. Jamshidi and M.R. Hashemi, “An efficient data enrichment scheme for fraud detection using social network analysis,” 6th International Symposium on Telecommunications (IST), pp.1082-1087, 2012. 10.1109/istel.2012.6483147

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