Cybersecurity: Time Series Predictive Modeling of Vulnerabilities of Desktop Operating System Using Linear and Non-Linear Approach

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Journal of Information Security

ISSN Print: 2153-1234
ISSN Online: 2153-1242
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"Cybersecurity: Time Series Predictive Modeling of Vulnerabilities of Desktop Operating System Using Linear and Non-Linear Approach"
written by Nawa Raj Pokhrel, Hansapani Rodrigo, Chris P. Tsokos,
published by Journal of Information Security, Vol.8 No.4, 2017

has been cited by the following article(s):

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[17]	Cybersecurity: a predictive analytical model for software vulnerability discovery process
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[18]	Bayesian Reliability Analysis of the Power Law Process and Statistical Modeling of Computer and Network Vulnerabilities with Cybersecurity Application
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[4]	Vulnerability Forecasting: Theory and Practice Digital Threats: Research and Practice, 2022 DOI:10.1145/3492328

[5]	Vulnerability Forecasting: Theory and Practice Digital Threats: Research and Practice, 2022 DOI:10.1145/3492328

[6]	On Aggregation and Prediction of Cybersecurity Incident Reports IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3097834

[7]	Vulnerability Forecasting: theory and practice. Digital Threats: Research and Practice, 2021 DOI:10.1145/3492328

[8]	A Queueing Solution to Reduce Delay in Processing of Disclosed Vulnerabilities 2020 Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), 2020 DOI:10.1109/TPS-ISA50397.2020.00012

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[13]	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

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