{"title":"击键分析在周界防御和设施访问中的有效性研究","authors":"Christopher S. Leberknight, G. Widmeyer, M. Recce","doi":"10.1109/THS.2008.4534475","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to evaluate the performance of static keystroke analysis as a complimentary and transparent security solution in the context of perimeter defense and facility access. A biometric keypad prototype was developed to evaluate the classification accuracy using temporal keystroke characteristics and feature points extracted from pressure sensors embedded within the keypad. A novel method is proposed to improve keystroke classification accuracy by analyzing 3 pressure related characteristics: amplitude or peak, peak area, and peak sharpness.","PeriodicalId":366416,"journal":{"name":"2008 IEEE Conference on Technologies for Homeland Security","volume":"56 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"An Investigation into the Efficacy of Keystroke Analysis for Perimeter Defense and Facility Access\",\"authors\":\"Christopher S. Leberknight, G. Widmeyer, M. Recce\",\"doi\":\"10.1109/THS.2008.4534475\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study is to evaluate the performance of static keystroke analysis as a complimentary and transparent security solution in the context of perimeter defense and facility access. A biometric keypad prototype was developed to evaluate the classification accuracy using temporal keystroke characteristics and feature points extracted from pressure sensors embedded within the keypad. A novel method is proposed to improve keystroke classification accuracy by analyzing 3 pressure related characteristics: amplitude or peak, peak area, and peak sharpness.\",\"PeriodicalId\":366416,\"journal\":{\"name\":\"2008 IEEE Conference on Technologies for Homeland Security\",\"volume\":\"56 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE Conference on Technologies for Homeland Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/THS.2008.4534475\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Conference on Technologies for Homeland Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/THS.2008.4534475","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Investigation into the Efficacy of Keystroke Analysis for Perimeter Defense and Facility Access
The purpose of this study is to evaluate the performance of static keystroke analysis as a complimentary and transparent security solution in the context of perimeter defense and facility access. A biometric keypad prototype was developed to evaluate the classification accuracy using temporal keystroke characteristics and feature points extracted from pressure sensors embedded within the keypad. A novel method is proposed to improve keystroke classification accuracy by analyzing 3 pressure related characteristics: amplitude or peak, peak area, and peak sharpness.