Compromised User Credentials Detection Using Temporal Features-Reference-Cited by-同舟云学术

Compromised User Credentials Detection Using Temporal Features

Published:2017 Issue: Volume: Page:
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Container-title:Proceedings of the 9th International Conference on Computer and Automation Engineering - ICCAE '17
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Author:

Amin Adnan¹,Anwar Sajid¹,Shah Babar²,Khattak Asad Masood²

Affiliation:

1. Center of Excellence in Information Technology, Institute of Management Sciences, Peshawar, Pakistan

2. College of Technological Innovation, Zayed University, Abu Dhabi, UAE

Publisher

ACM Press

Reference32 articles.

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3. K. Singh and M. Cantt, "Outlier Detection: Applications And Techniques," Int. J. Comput. Sci. Issues, vol. 9, no. 1, pp. 307--323, 2012.

4. A. Daneshpazhouh and A. Sami, "Entropy-based outlier detection using semi-supervised approach with few positive examples," Pattern Recognit. Lett., vol. 49, pp. 77--84, 2014.

5. X. Zheng, Z. Zeng, Z. Chen, Y. Yu, and C. Rong, "Detecting spammers on social networks," in Neurocomputing, 2015, vol. 159, pp. 27--34.

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