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Preventing shoulder surfing attack using touch screen based PIN authentication method in invisible form

机译:使用基于触摸屏的PIN身份验证方法(不可见形式)防止肩膀冲浪攻击

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摘要

The most advantageous way of authentication applicable everywhere is PIN authentication which is simple, effective, understandable and usable, but it is prone or to an attack known as shoulder surfing. Shoulder surfing refers to a direct observation, such as looking over a person's shoulder, to obtain information. In case of PIN authentication, the invalid user will be observing the credentials by looking over the shoulder. The previous work was done with the visibility of the PIN, but here we propose an innovative way to authenticate user by providing PIN to the system which won't be visible to an attacker but will be known to the actual user who is drawing it on a touch screen device. This will help in reducing the effect of the shoulder surfing attack. Another important thing which we want to try out is whether the error rate can be lowered down or not. The current implementation will be working in two distinguishable modes i.e. Learning Mode and Recognition Mode. In learning mode, user will be able to make the system to learn the templates of any character or number by writing on a touch screen. In recognition mode, the system will automatically identify the character or number drawn on the touch screen and will display the result whether inputted character or number is matched or not [1].
机译:适用于所有地方的最有利的身份验证方法是PIN身份验证,它简单,有效,易于理解和可用,但它容易发生或遭受被称为肩膀冲浪的攻击。肩膀冲浪是指直接观察(例如,看着人的肩膀)以获得信息。在进行PIN身份验证的情况下,无效用户将通过抬头看守凭据。先前的工作是通过PIN的可见性完成的,但是在这里,我们提出了一种创新的方式来验证用户身份,方法是向系统提供PIN,而攻击者看不到PIN,但使用它的实际用户才能知道触摸屏设备。这将有助于减少肩部冲浪攻击的影响。我们要尝试的另一重要事项是错误率是否可以降低。当前的实现将以两种可区分的模式工作,即学习模式和识别模式。在学习模式下,用户将能够使系统通过在触摸屏上书写来学习任何字符或数字的模板。在识别模式下,系统会自动识别触摸屏上绘制的字符或数字,并显示输入的字符或数字是否匹配的结果[1]。

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