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首页> 外文期刊>IEEE transactions on dependable and secure computing >Challenge-Response Authentication Using In-Air Handwriting Style Verification
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Challenge-Response Authentication Using In-Air Handwriting Style Verification

机译：挑战 - 使用空中手写风格验证响应响应身份验证

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摘要

Challenge-response (CR) is an effective way to authenticate users even if the communication channel is insecure. Traditionally CR authentication relies on one-way hashes and shared secrets to verify the identities of users. Such a method cannot cope with an insider attack, where a user can obtained the secret (i.e., the response) from a legitimate user. To cope with it, we design a biometric-based CR authentication scheme (hereafter MoCRA), which is derived from the motions as a user operates emerging depth-sensor- based input devices, such as a Leap Motion controller. We envision that to authenticate a user, MoCRA randomly chooses a string (e.g., a few words), and the user has to write the string in the air. Using Leap Motion, MoCRA captures the user's writing movements and then extracts his / her handwriting style. After verifying that what the user writes matches what is asked for, MoCRA leverages a Support Vecter Machine (SVM) with co-occurrence matrices to model the handwriting styles and can reliably authenticate users, even if what they write is completely different every time. Evaluated on data from 24 subjects over 7 months, MoCRA managed to verify a user with an average of 1.18% (Equal Error Rate) EER and to reject impostors with 2.45% EER.
机译：挑战 - 响应（CR）是即使通信频道不安全，也是一种有效的方法来认证用户。传统上CR身份验证依赖于单向哈希和共享秘密来验证用户的身份。这种方法不能应对内幕攻击，其中用户可以从合法用户获得秘密（即响应）。为了应对它，我们设计了一种基于生物识别的CR认证方案（以下，所述MoCra），其从作为用户操作的运动的动作导出，例如基于深度传感器的输入设备，例如LEAP运动控制器。我们设想用于验证用户，MOCRA随机选择一个字符串（例如，几个单词），并且用户必须在空中编写字符串。使用Leap Motion，Mogra捕获了用户的写作运动，然后提取他/她的笔迹风格。在验证用户写入匹配的要求之后，MOCRA利用支持Vececter机器（SVM）与共同发生矩阵来模拟手写样式，也可以可靠地验证用户，即使它们每次写入完全不同。在7个月内评估了24个受试者的数据，MOCRA管理，验证平均为1.18％（相等的错误率）eer的用户，并拒绝使用2.45％eer的冒名顶替者。

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