Vulnerability severity prediction model for software based on Markov chain

2021 ◽  
Vol 15 (2/3) ◽  
pp. 109
Author(s):  
Gul Jabeen ◽  
Xi Yang ◽  
Ping Luo
Keyword(s):  
Markov Chain ◽  
Prediction Model ◽  
Severity Prediction

scholarly journals An Improved Prediction Model Combining Inverse Exponential Smoothing and Markov Chain

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Tong Niu ◽  
Lin Zhang ◽  
Bo Zhang ◽  
Bofan Yang ◽  
Shengjun Wei ◽  
...  
Keyword(s):  
Markov Chain ◽  
Prediction Model ◽  
Threshold Value ◽  
Exponential Smoothing ◽  
Initial Value ◽  
Trend Prediction ◽  
Index Model ◽  
Model Combining ◽  
Improved Model ◽  
Setting Parameters

On the basis of the triple exponential smoothing prediction model, this paper introduces the reverse prediction idea and establishes the reverse triple exponential smoothing model by setting parameters such as threshold value and iteration times and reasonably correcting its initial value. This method can effectively reduce the error of early prediction value. At the same time, aiming at the problem that the predicting advantage of the reverse triple exponential smoothing model weakens in the later period, Markov theory is introduced to correct its error value, and an improved prediction model combining inverse exponential smoothing and Markov chain is further established. The improved model combines the advantages of index model trend prediction and Markov fluctuation prediction, and the prediction accuracy and stability of the model are significantly improved through case tests.

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