Keystroke Dynamics Based Authentication Using Possibilistic Renyi Entropy Features and Composite Fuzzy Classifier

• 作者: Aparna Bhatia Madasu Hanmandlu
• 来源期刊: 现代物理(英文)
• 学科: 工学
• 关键词: Keystroke Dynamics Information SET Renyi ENTROPY Function and Its Possibilistic Version COMPOSITE Fuzzy CLASSIFIER
• 年，卷（期）: 2018,（2）
• 页码范围: 112-129
• 页数: 18页
• 分类号: TP39

摘要

This paper presents the formulation of the possibilistic Renyi entropy function from the Renyi entropy function using the framework of Hanman-Anirban entropy function. The new entropy function is used to derive the information set features from keystroke dynamics for the authentication of users. A new composite fuzzy classifier is also proposed based on Mamta-Hanman entropy function and applied on the Information Set based features. A comparison of the results of the proposed approach with those of Support Vector Machine and Random Forest classifier shows that the new classifier outperforms the other two.