Cost-Effective Kernel Ridge Regression Implementation for Keystroke-Based Active Authentication System

• Published in: IEEE transactions on cybernetics Vol. 47; no. 11; pp. 3916 - 3927
• Main Authors: Pei-Yuan Wu, Chi-Chen Fang, Chang, Jien Morris, Sun-Yuan Kung
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Active authentication; Algorithms; Authentication; Basis functions; Biomedical monitoring; cost-effective; Feature extraction; Kernel; Kernel functions; kernel methods; kernel ridge regression (KRR); Keyboards; keystroke; Machine learning; Radial basis function; support vector machine (SVM); Support vector machines; Training; truncated-radial basis function (TRBF)

In this paper, a fast kernel ridge regression (KRR) learning algorithm is adopted with O(N) training cost for largescale active authentication system. A truncated Gaussian radial basis function (TRBF) kernel is also implemented to provide better cost-performance tradeoff. The fast-KRR algorithm alon...