Using keystroke dynamics for gender identification in social network environment
Using keystroke dynamics for gender identification in social network environment
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在社交网络环境中使用击键动力学进行性别识别
DOI：
10.1049/ic.2011.0124
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Márjory Da Costa
中科院分区：
文献类型：
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作者：
M. Fairhurst;Márjory Da Costa
社交网络现在是一种被广泛采用且高度普及的沟通媒介，尤其是在年轻人中。然而，虽然这些媒体提供了分享和互动的绝佳机会，但也带来了与故意隐瞒身份的个人进行交易的风险，更重要的是，这些人很容易歪曲自己的个人特征。本文介绍了一种方法来解决这种风险，通过使用一种形式的生物识别数据，从日常的互动机制来预测重要的用户特征，从而直接增加信任和可靠性方面的索赔，以消息接收者与他们沟通。（6页）
Social networking is now a very widely adopted and highly pervasive communication medium, especially among younger people. However, while offering exceptional opportunities to share and interact these media also introduce the risk of transactions with individuals who deliberately conceal their identity or, importantly, can easily misrepresent their personal characteristics. This paper introduces an approach to addressing such risks by using a form of biometric data accessible from routine interaction mechanisms to predict important user characteristics, thereby directly increasing trust and reliability with respect to the claims made to message receivers by those who communicate with them. (6 pages)