Non-Homogeneous Stochastic Model for Cyber Security Predictions

Journal of Information Security

ISSN Print: 2153-1234
ISSN Online: 2153-1242
www.scirp.net/journal/jis
E-mail: [email protected]

Citations

"Non-Homogeneous Stochastic Model for Cyber Security Predictions"
written by Pubudu Kalpani Kaluarachchi, Chris P. Tsokos, Sasith M. Rajasooriya,
published by Journal of Information Security, Vol.9 No.1, 2018

has been cited by the following article(s):

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CrossRef

[1]	Heartbeat Driven Network Health Assessment
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[2]	Towards an Improved Understanding of Software Vulnerability Assessment Using Data-Driven Approaches
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[3]	Cybersecurity: Identifying the Vulnerability Intensity Function (VIF) and Vulnerability Index Indicator (VII) of a Computer Operating System
	Journal of Information Security, 2022

[4]	An Analytical Approach to Assess and Compare the Vulnerability Risk of Operating Systems.
	2020

[5]	An Analytical Approach to Assess and Compare the Vulnerability Risk of Operating Systems
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[6]	Nonhomogeneous Risk Rank Analysis Method for Security Network System
	2019

[7]	Automated software vulnerability assessment with concept drift
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[8]	Stochastic models of just-in-time systems and windows of vulnerability in terms of the processes of birth and death
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[9]	Original Paper Risk Rank Analysis Method for Vulnerabilities in a Network System
	Urban Studies and Public Administration, 2019

[10]	Mathematical Modeling, Numerical Methods and Software Complexes
	Journal of Samara State Technical University. Series Physical and mathematical sciences, 2018

[1]	Heartbeat Driven Network Health Assessment 2023 IEEE 64th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), 2023 DOI:10.1109/ITMS59786.2023.10317742

[2]	Cybersecurity: Identifying the Vulnerability Intensity Function (VIF) and Vulnerability Index Indicator (VII) of a Computer Operating System Journal of Information Security, 2022 DOI:10.4236/jis.2022.134019

[3]	Nonhomogeneous Risk Rank Analysis Method for Security Network System International Journal of Communications, Network and System Sciences, 2019 DOI:10.4236/ijcns.2019.121001

[4]	Automated Software Vulnerability Assessment with Concept Drift 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR), 2019 DOI:10.1109/MSR.2019.00063

[5]	Stochastic models of just-in-time systems and windows of vulnerability in terms of the processes of birth and death Вестник Самарского государственного технического университета. Серия «Физико-математические науки», 2019 DOI:10.14498/vsgtu1725

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