基于混沌映射的RO-PUF FPGA实现

Arulmurugan Azhaganantham, Kanimozhi M, G. S, Jayasuriya S
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引用次数: 0

摘要

由于信息安全的需要,集成电路的完整性已经成为一个关键问题。提高物理安全性是提高这些电路可靠性的最关键策略之一。这些类型的设备需要计算安全性和物理安全性。物理不可克隆功能(Physical unclable Function, PUF)可以提高ic的物理安全性,防止盗版和非法访问。PUF生成对特定IC唯一的随机数。另一方面,伪随机数生成器(prng)是确定性周期性有限状态机,其目标是在有限时间内模拟真正随机数源的不可预测行为。本文提出了一种基于混沌的环振子- puf (RO-PUF)算法,利用Tent映射和Bernoulli Shift映射来提高rng的随机性和唯一性。由帐篷图和伯努利位移图产生的混沌符号对PUF提出了挑战。PUF的响应通过了大约9次NIST测试,p值大于0.01,满足预期的随机行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPGA Implementation of RO-PUF using Chaotic Maps
The integrity of Integrated Circuits (ICs) has become a critical issue as a result of information security needs. Increased physical security is one of the most critical strategies for increasing the dependability of these circuits. Both computational and physical securities are required for these types of devices. The Physical Unclonable Function (PUF) contributes to the physical security of ICs in order to resist piracy and illegal access. The PUF generates random numbers that are unique to a particular IC. Pseudo Random Number Generators (PRNGs), on the other hand, are deterministic periodic finite state machines whose goal is to simulate the unpredictable behavior of a truly random number source over a finite period of time. In this paper, Chaos based Ring Oscillator-PUF (RO-PUF) using Tent map and Bernoulli Shift map are proposed to increase the randomness and uniqueness of the RNGs. Chaotic signs which are generated from the Tent map and Bernoulli Shift map have given as challenge to the PUF. Responses from the PUF have passed around 9 NIST tests with having p-value greater than 0.01 which satisfies the expected random behaviour.
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