We propose a generalized framework to evaluate the side-channel information leakage of symmetric block ciphers. The leakage mapping methodology enables the systematic and efficient identification and mitigation of problematic information leakages by exhaustively considering relevant leakage models. The evaluation procedure bounds the anticipated resistance of an implementation to the general class of univariate differential side-channel analysis techniques. Typical applications are demonstrated using the well-known Hamming weight and Hamming distance leakage models, with recommendations for the incorporation of more accurate models. The evaluation results are empirically validated against correlation-based differential side-channel analysis attacks on two typical unprotected implementations of the Advanced Encryption Standard.

Radio-frequency distinct native attribute (RF-DNA) fingerprinting is adapted as a physical-layer technique to improve the security of integrated circuit (IC)-based multifactor authentication systems. Device recognition tasks (both identification and verification) are accomplished by passively monitoring and exploiting the intrinsic features of an IC's unintentional RF emissions without requiring any modification to the device being analyzed. Device discrimination is achieved using RF-DNA fingerprints comprised of higher order statistical features based on instantaneous amplitude, phase, and frequency responses as a device executes a sequence of operations. The recognition system is trained using multiple discriminant analysis to reduce data dimensionality while retaining class separability, and the resultant fingerprints are classified using a linear Bayesian classifier. Demonstrated identification and verification performance includes average identification accuracy of greater than 99.5% and equal error rates of less than 0.05% for 40 near-identical devices. Depending on the level of required classification accuracy, RF-DNA fingerprint-based authentication is well-suited for implementation as a countermeasure to device cloning, and is promising for use in a wide variety of related security problems.