Statistical modeling of computer malware propagation dynamics in cyberspace-Reference-Cited by-同舟云学术

Statistical modeling of computer malware propagation dynamics in cyberspace

Published:2020-11-10 Issue: Volume: Page:1-26
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Fang Zijian¹,Zhao Peng²,Xu Maochao³,Xu Shouhuai⁴,Hu Taizhong¹,Fang Xing⁵

Affiliation:

1. Department of Statistics and Finance, University of Science and Technology of China, Hefei, Peoples Republic of China

2. School of Mathematics and Statistics and Research Institute of Mathematical Sciences (RIMS), Jiangsu Provincial Key Laboratory of Educational Big Data Science and Engineering, Jiangsu Normal University, Xuzhou, Peoples Republic of China

3. Department of Mathematics, Illinois State University, Normal, IL, USA

4. Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA

5. School of Information Technology, Illinois State University, Normal, IL, USA

Funder

National Natural Science Foundation

ARO

National Natural Science Foundation of China

Jiangsu Higher Education Institutions

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2020.1845621

Reference46 articles.

1. M. Bailey, E. Cooke, F. Jahanian, A. Myrick, and S. Sinha, Practical darknet measurement. Information Sciences and Systems, 2006 40th Annual Conference on, March 2006, pp. 1496–1501.

2. Malware in the future? Forecasting of analyst detection of cyber events

3. Inferring causal impact using Bayesian structural time-series models

4. General Methods for Monitoring Convergence of Iterative Simulations

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