A Program Threat Judgement Model Based on Fuzzy Set Theory

Xiaochuan Zhang, Jianmin Pang, Yujia Zhang, Guanghui Liang

Abstract: In the age of information security, whether a program is threatening or not is a crucial problem to solve. In this paper, a novel threat program judgment model based on fuzzy set theory is proposed. In the model, we derive a new evaluation function from multi-factor determined fuzzy synthetic function. Using the function, the program threat is evaluated by the membership of programs with great threat. Furthermore, we realize the judgment model and the experiment data shows its feasibility and effectiveness.