作者: Paulo Henrique Pisani , Ana Carolina Lorena
DOI: 10.1007/S13173-013-0117-7
关键词:
摘要: Computing and communication systems have improved our way of life, but also contributed to an increased data exposure and, consequently, identity theft. A possible overcome this issue is by the use biometric technologies for user authentication. Among be analysed, work focuses on keystroke dynamics, which attempts recognize users their typing rhythm. In order guide future researches in area, a systematic review dynamics was conducted presented here. The method adopts rigorous procedure with definition formal protocol. Systematic reviews are not commonly used artificial intelligence, contributes its area. This paper discusses process involved along results obtained identify state art dynamics. We summarized main classifiers, performance measures, extracted features benchmark datasets