A Quantitative Risk Assessment Model Involving Frequency and Threat Degree under Line-of-Business Services for Infrastructure of Emerging Sensor Networks

. 2017 Mar 21;17(3):642. doi: 10.3390/s17030642

Algorithm 5: LoBSs’ risk assessment algorithm

Input: SourceFilePath, ProfessorFilePath, WeightFilePath, InitialRisk, Confidence, Difficulty, NumberofProfessor.
Output: VaR_R.
1. Assign the parameters of InitialRisk, Confidence, Difficulty, NumberofProfessor;
2. Read SourceFile Using BufferedReader;
3. the ObjectiveRisk I_oj is get by judging TraceP,then, push into the corresponding stack;
4. Read ProfessorFile using BufferedReader;
5. The files in ProfessorFile are stored with the type of List <double []>, the attack Shannon entropy is calculated;
6. Calculating the subjective risk I_sj;
7. Read WeightFile using BufferedReader, the comprehensive risk I_cj is calculated based on the weight between subjective risk and objective risk;
8. The rate of risk impact is calculated by

Q_{j} = {P r}_{j} \times r_{j}

;
9. VaR_R is calculated based on VaR;
10. Return VaR_R.