Application of a MEMS-Based TRNG in a Chaotic Stream Cipher.

Application of a MEMS-Based TRNG in a Chaotic Stream Cipher.
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DOI:
10.3390/s17030646
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发表时间:
2017-03-21
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Celma S
Celma S
中科院分区:
其他
文献类型:
--
作者:
Garcia-Bosque M;Pérez A;Sánchez-Azqueta C;Celma S

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在这项工作中,我们使用了一个基于传感器的真随机数发生器,以产生密钥的流密码的基础上,最近发表的混合算法混合斜帐篷映射和线性反馈移位寄存器。流密码在现场可编程门阵列(FPGA)中实现和测试,能够以134 MHz的时钟频率生成8位宽的数据流,这对于千兆以太网应用来说足够快。一个详尽的密码分析完成,使我们能够得出结论,该系统是安全的。在面积、功耗和吞吐量方面,将该序列密码算法与同类平台上实现的其他混沌序列密码算法进行了比较。
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.
DOI: 10.3390/s110201607
发表时间: 2011
期刊: Sensors (Basel, Switzerland)
影响因子: --
作者:
Guo X;Zhang J;Khan MK;Alghathbar K
通讯作者: Alghathbar K