According to the embodiments, a statistical model is developed to estimate the probability of being in a certain stage of a particular vulnerability in its life cycle. The methodology with the application of Markov chain theory gives the basis for calculating estimates for probabilities for different stages of a life cycle of the vulnerability considered. Using the developed method, it is possible to evaluate the risk level of a particular vulnerability at a certain time. These developments allow an advantage in taking measures to avoid exploitations and introduce patches for the vulnerability before an attacker takes the advantage of that particular vulnerability
Fatigue crack growth is a stochastic phenomenon due to the uncertainties factors such as material pr...
The reliability of structural systems, lying in aggressive environments, changes over time. Proper m...
Numerous security metrics have been proposed in the past for protecting computer networks. However w...
According to the embodiments, a statistical model is developed to estimate the probability of being ...
Procedures to identify the probabilities for different states in a vulnerability life cycle are desc...
Software vulnerability life cycles illustrate changes in detection processes of software vulnerabili...
Analysis on Vulnerabilities and Vulnerability Life Cycle is at the core of Cybersecurity related stu...
International audienceThe objective of this work is the evaluation of information systems security u...
International audienceThis paper deals with the characterization of security-related vulnerabilities...
Development of Cybersecurity processes and strategies should take two main approaches. One is to dev...
Dynamic adaptation means that components are reconfigured at run time. Consequently, the degree to w...
This master thesis deals with application of Markov processes in analysis of reli- ability of comple...
Information security incidents frequency has been increasing dramatically, the aim of this study is ...
The reliability of structural systems immerged into aggressive environments changes over time and, ...
New scientific methods are required in industry to avoid loss of money and human lives and provide m...
Fatigue crack growth is a stochastic phenomenon due to the uncertainties factors such as material pr...
The reliability of structural systems, lying in aggressive environments, changes over time. Proper m...
Numerous security metrics have been proposed in the past for protecting computer networks. However w...
According to the embodiments, a statistical model is developed to estimate the probability of being ...
Procedures to identify the probabilities for different states in a vulnerability life cycle are desc...
Software vulnerability life cycles illustrate changes in detection processes of software vulnerabili...
Analysis on Vulnerabilities and Vulnerability Life Cycle is at the core of Cybersecurity related stu...
International audienceThe objective of this work is the evaluation of information systems security u...
International audienceThis paper deals with the characterization of security-related vulnerabilities...
Development of Cybersecurity processes and strategies should take two main approaches. One is to dev...
Dynamic adaptation means that components are reconfigured at run time. Consequently, the degree to w...
This master thesis deals with application of Markov processes in analysis of reli- ability of comple...
Information security incidents frequency has been increasing dramatically, the aim of this study is ...
The reliability of structural systems immerged into aggressive environments changes over time and, ...
New scientific methods are required in industry to avoid loss of money and human lives and provide m...
Fatigue crack growth is a stochastic phenomenon due to the uncertainties factors such as material pr...
The reliability of structural systems, lying in aggressive environments, changes over time. Proper m...
Numerous security metrics have been proposed in the past for protecting computer networks. However w...