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published in(发表于) 2013/11/12 12:34:14
New discovery： through cameras and microphones phones PIN code

New discovery: by camera and microphone you can crack the handset PIN code-PIN code-IT information New discovery: through cameras and microphones phones PIN code

Recently, researchers at Cambridge University have discovered ingenious ways, by clicking virtual buttons to send out voice, and facial images to crack the password entered by the user PIN code.

Prior studies have shown, can use the phone's accelerometer and gyroscope to determine the user input actions, which cracked PIN codes. Researchers at Cambridge University thesis on Thursday showed that information gathered by mobile phone camera and microphone, you can also achieve the same purpose.

The paper says, by recording the audio when you enter the PIN code, will be able to detect the screen clicks through a front-facing camera, will be able to restore the facial images for the click action. And then, will be able to learn more about the specific touch action and thus infers the user clicking on the screen where.

In the 4-digit PIN code for 50 tests, this approach accuracy rate of more than 30% after 2 tries, 5 tries the accuracy rate of more than 50%. But in testing at the 8-digit PIN code, 5 tries the accuracy rate is only about 45%.

This should be a banking application developer's attention. Researchers at Cambridge University, system developers can start the sensor in a targeted manner, rather than from a turn on these devices. Of course, fingerprints and other biometric technologies can effectively address this problem.

新发现：通过摄像头和麦克风可破解手机PIN码 - PIN码 - IT资讯
新发现：通过摄像头和麦克风可破解手机PIN码

最近，剑桥大学的研究人员发现了独创性的方式，可以通过点击虚拟按钮时发出的声音，以及用户输入密码时的面部影像来破解PIN码。

之前也有研究显示，可以通过手机的加速计和陀螺仪来判断用户输入动作，从而破解PIN码。而剑桥大学的研究人员上周四发布的论文显示，通过手机摄像头和麦克风搜集的信息，也可以达到相同的目的。

该论文称，通过记录输入PIN码时的音频，便可探测到屏幕点击动作；通过前置摄像头，便可恢复相应的点击动作对应的面部影像。然后，便可以此了解具体的触控动作，从而推断出用户究竟点击了屏幕的哪个位置。

在对4位数的PIN码进行的50次测试中，这种方法2次尝试后的准确率超过30%，5次尝试准确率超过50%。但在测试8位PIN码时，5次尝试的准确率大约只有45%。

这应该引起银行应用开发者的关注。剑桥大学的研究人员建议，系统开发者可以有针对性地启动感应器，而不应全天候开启这些装置。当然，指纹等生物识别技术也可以有效地解决这一问题。

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