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

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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[1]	2019–2023 in Review: Projecting DDoS Threats With ARIMA and ETS Forecasting Techniques IEEE Access, 2024 DOI:10.1109/ACCESS.2024.3367240

[2]	Evolving Malware and DDoS Attacks: Decadal Longitudinal Study IEEE Access, 2024 DOI:10.1109/ACCESS.2024.3376682

[3]	Evolving Malware and DDoS Attacks: Decadal Longitudinal Study IEEE Access, 2024 DOI:10.1109/ACCESS.2024.3376682

[4]	A comparative study of neural network architectures for software vulnerability forecasting Logic Journal of the IGPL, 2024 DOI:10.1093/jigpal/jzae075

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

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

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

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

[14]	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

[15]	Machine Learning Approach to Predict Computer Operating Systems Vulnerabilities 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS), 2020 DOI:10.1109/ICCAIS48893.2020.9096731

[16]	Poster Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019 DOI:10.1145/3319535.3363285

[17]	Poster Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019 DOI:10.1145/3319535.3363285

[18]	Vulnerability prediction capability: A comparison between vulnerability discovery models and neural network models Computers & Security, 2019 DOI:10.1016/j.cose.2019.101596

[19]	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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