Cyber Security: Nonlinear Stochastic Models for Predicting the Exploitability

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Journal of Information Security

ISSN Print: 2153-1234
ISSN Online: 2153-1242
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"Cyber Security: Nonlinear Stochastic Models for Predicting the Exploitability"
written by Sasith M. Rajasooriya, Chris. P. Tsokos, Pubudu Kalpani Kaluarachchi,
published by Journal of Information Security, Vol.8 No.2, 2017

has been cited by the following article(s):

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[1]	Collaboration or separation maximizing the partnership between a “Gray hat” hacker and an organization in a two-stage cybersecurity game
	International Journal of Information …, 2022

[2]	An Environment-Specific Prioritization Model for Information-Security Vulnerabilities Based on Risk Factor Analysis
	Electronics, 2022

[3]	Towards an Improved Understanding of Software Vulnerability Assessment Using Data-Driven Approaches
	arXiv preprint arXiv:2207.11708, 2022

[4]	Cybersecurity: Identifying the Vulnerability Intensity Function (VIF) and Vulnerability Index Indicator (VII) of a Computer Operating System
	Journal of Information Security, 2022

[5]	Machine Learning and Probabilistic Methods for Network Security Assessment
	2022

[6]	A Continuous Risk Management Approach for Cyber-Security in Industrial Control Systems
	2021

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

[8]	A Moving Target Defense Scheme with Overhead Optimization using Partially Observable Markov Decision Processes with Absorbing States
	2020

[9]	Bayesian Reliability Analysis of the Power Law Process and Statistical Modeling of Computer and Network Vulnerabilities with Cybersecurity Application
	2020

[10]	A Queueing Solution to Reduce Delay in Processing of Disclosed Vulnerabilities
	2020

[11]	A MOVING TARGET DEFENSE SCHEME WITH OVERHEAD OPTIMIZATION USING PARTIALLY OBSERVABLE MARKOV DECISION PROCESSES WITH …
	2020

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

[13]	Nonhomogeneous Risk Rank Analysis Method for Security Network System
	2019

[14]	Automated software vulnerability assessment with concept drift
	2019

[15]	A közigazgatás információbiztonsága: megjósolhatók az incidensek?
	2019

[16]	An Improved Stochastic Model for Cybersecurity Risk Assessment
	2019

[17]	A Study on the Probabilistic Vulnerability Assessment of COTS O/S based I&C System
	2019

[18]	Original Paper Risk Rank Analysis Method for Vulnerabilities in a Network System
	Urban Studies and Public Administration, 2019

[19]	An Improved Stochastic Model for Cybersecurity Risk Assessment.
	2019

[20]	Building trustable remote monitoring and management systems
	2018

[21]	The Effect of Common Vulnerability Scoring System Metrics on Vulnerability Exploit Delay
	2018

[22]	Non-Homogeneous Stochastic Model for Cyber Security Predictions
	2017

[23]	Cybersecurity: Time Series Predictive Modeling of Vulnerabilities of Desktop Operating System Using Linear and Non-Linear Approach
	2017

[24]	Cybersecurity: Probabilistic Behavior of Vulnerability and Life Cycle
	2017

[25]	Servicio de detección temprana de vulnerabilidades basado en Shodan: caso de estudio ESPE-CERT

[1]	An Environment-Specific Prioritization Model for Information-Security Vulnerabilities Based on Risk Factor Analysis Electronics, 2022 DOI:10.3390/electronics11091334

[2]	Collaboration or separation maximizing the partnership between a “Gray hat” hacker and an organization in a two-stage cybersecurity game International Journal of Information Management Data Insights, 2022 DOI:10.1016/j.jjimei.2022.100073

[3]	A Stochastic Model for Calculating Well-Founded Probabilities of Vulnerability Exploitation 2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C), 2022 DOI:10.1109/QRS-C57518.2022.00015

[4]	A Stochastic Model for Calculating Well-Founded Probabilities of Vulnerability Exploitation 2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C), 2022 DOI:10.1109/QRS-C57518.2022.00015

[5]	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

[6]	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

[7]	The Effect of Common Vulnerability Scoring System Metrics on Vulnerability Exploit Delay 2018 Sixth International Symposium on Computing and Networking (CANDAR), 2018 DOI:10.1109/CANDAR.2018.00009

[8]	Non-Homogeneous Stochastic Model for Cyber Security Predictions Journal of Information Security, 2018 DOI:10.4236/jis.2018.91002

[9]	Cybersecurity: Time Series Predictive Modeling of Vulnerabilities of Desktop Operating System Using Linear and Non-Linear Approach Journal of Information Security, 2017 DOI:10.4236/jis.2017.84023

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