In this paper, we propose a hardware security methodology for mixed-signal Integrated Circuits (ICs). The proposed methodology can be used as a countermeasure for IC piracy, including counterfeiting and reverse engineering. It relies on logic locking of the digital section of the mixed-signal IC, such that unless the correct key is provided, the mixed-signal performance will be pushed outside of the acceptable specification range. We employ a state-of-the-art logic locking technique, called Stripped Functionality Logic Locking (SFLL). We show that strong security levels are achieved in both mixed-signal and digital domains. In addition, the proposed methodology presents several appealing properties. It is non-intrusive for the analog section, it incurs reasonable area and power overhead, it can be fully automated, and it is virtually applicable to a wide range of mixed-signal ICs. We demonstrate it on a Σ∆ Analog-to-Digital Converter (ADC).
We treat the problem of analog Integrated Circuit (IC) obfuscation towards Intellectual Property (IP) protection against reverse engineering. Obfuscation is achieved by camouflaging the effective geometry of layout components via the use of fake contacts, which originally were proposed for gate camouflaging in digital ICs. We present a library of obfuscated layout components, we give recommendations for effective camouflaging, we discuss foreseen attacks and the achieved resiliency, and we propose security metrics for assessing the hardness of reverse engineering. The proposed methodology is demonstrated on an operational amplifier and an RF Σ∆ Analog-to-Digital Converter (ADC).
We demonstrate an attack to break all analog circuit locking techniques that act upon the biasing of the circuit. The attack is based on re-synthesizing the biasing circuits and requires only the use of an optimization algorithm. It is generally applicable to any analog circuit class. For the attacker the method requires no in-depth understanding or analysis of the circuit. The attack is demonstrated on a bias-locked Low-Dropout (LDO) regulator. As the underlying optimization algorithm we employ a Genetic Algorithm (GA).
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