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The implementation of wash, rinse, and spin technique in accelerometer's data processing on android smartphone to generate stream keys

机译:在加速度计的Android智能手机上生成流键的数据处理中的洗涤,冲洗和旋转技术的实现

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The needs of random key generator on Android smartphones grow in line with applications which provide cryptographic services. Overcoming this we can use sensor on Android itself to be a key generator, that called Accelerometer sensor. However, raw data generated from this sensor are weak data sources because they have many slow drifts. According to those background, Hong & Liu proposed the protocol that consists of three data-processing techniques, it Wash, Rinse, and Spin. This study implements the protocol by using the accelerometer sensor in android smartphone. It uses SDLC method to build an application. Differentiate process used in Wash step, FFT Radix-2 and SecureRandom() in Rinse step then Pseudo Random Bit Generator (PRBG) based on Chaotic Logistic Map used in the Spin step. Some tests such as Unit, Performance, and Usability testing are conducted to evaluate the application. The uit testing result shows the protocol is properly applied to Android-based random key generator application. The performance testing result show it needs 8.2 milliseconds to generate a 128-bit key. It graphically transforms and shuffles data on vary key's lengths and device condition. It has 4.8 milliseconds average time to save the generated keys into the smartphone's memory.
机译:Android智能手机上随机密钥发生器的需求与提供加密服务的应用程序一起生长。克服了这一点,我们可以在Android本身上使用传感器,成为一个钥匙发生器,称为加速度计传感器。但是,从该传感器生成的原始数据是弱数据源,因为它们具有许多缓慢的漂移。根据这些背景,Hong&Liu提出了由三种数据处理技术组成的协议,它清洗,冲洗和旋转。本研究通过在Android智能手机中使用加速度计传感器实现协议。它使用SDLC方法构建应用程序。在冲洗步骤中的洗涤步骤,FFT基径-2和Securerandom()中使用的处理基于旋转步骤中使用的混沌逻辑图的伪随机比特发生器(PRBG)。进行一些测试,例如单位,性能和可用性测试以评估应用程序。 UIT测试结果显示协议被正确应用于基于Android的随机密钥生成器应用程序。性能测试结果表明它需要8.2毫秒来生成128位键。它以图形方式转换和减速数据的变换和减速数据。它具有4.8毫秒的平均时间,以将生成的键保存到智能手机的内存中。

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