Garcia-Bosque Miguel, Pérez Adrián, Sánchez-Azqueta Carlos, Celma Santiago
Group of Electronic Design, University of Zaragoza, 50009 Zaragoza, Spain.
Sensors (Basel). 2017 Mar 21;17(3):646. doi: 10.3390/s17030646.
In this work, we used a sensor-based True Random Number Generator in order to generate keys for a stream cipher based on a recently published hybrid algorithm mixing Skew Tent Map and a Linear Feedback Shift Register. The stream cipher was implemented and tested in a Field Programmable Gate Array (FPGA) and was able to generate 8-bit width data streams at a clock frequency of 134 MHz, which is fast enough for Gigabit Ethernet applications. An exhaustive cryptanalysis was completed, allowing us to conclude that the system is secure. The stream cipher was compared with other chaotic stream ciphers implemented on similar platforms in terms of area, power consumption, and throughput.
在这项工作中，我们使用了一种基于传感器的真随机数发生器，以便为基于最近发布的混合算法（该算法将斜帐篷映射和线性反馈移位寄存器相结合）的流密码生成密钥。该流密码在现场可编程门阵列（FPGA）中实现并进行了测试，能够在134 MHz的时钟频率下生成8位宽的数据流，这对于千兆以太网应用来说足够快。我们完成了详尽的密码分析，从而得出该系统是安全的结论。在面积、功耗和吞吐量方面，将该流密码与在类似平台上实现的其他混沌流密码进行了比较。
