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Profiled attacks employing machine learning techniques for secret information extraction are currently one of the main interests of the research community working on side channel attacks. In this work, we tackle the use of machine learning methods to perform a power consumption based side channel attack against asymmetric cryptosystems. In particular, we analyze different machine-learning based strategies to retrieve the secret exponent from a square-and-multiply-always modular exponentiation in RSA cryptosystem software implementations. We validate our proposals conducting effective attacks against the modular exponentiation contained in the BearSSL software library, a timing side-channel hardened public library. The experimental validation shows that our attack strategy improves the state-of-art solution and is able to retrieve the correct exponent value with a single trace from the attacked device, and, in the worst case, with an exhaustive search in a set of candidates containing a few hundred possible values for the sought secret. [ABSTRACT FROM AUTHOR]

The vasculature is innervated by a network of peripheral afferents that sense and regulate blood flow. Here, we describe a system of non-peptidergic sensory neurons with cell bodies in the spinal ganglia that regulate vascular tone in the distal arteries. We identify a population of mechanosensitive neurons, marked by tropomyosin receptor kinase C (TrkC) and tyrosine hydroxylase in the dorsal root ganglia, which projects to blood vessels. Local stimulation of TrkC neurons decreases vessel diameter and blood flow, whereas systemic activation increases systolic blood pressure and heart rate variability via the sympathetic nervous system. Ablation of the neurons provokes variability in local blood flow, leading to a reduction in systolic blood pressure, increased heart rate variability, and ultimately lethality within 48 h. Thus, a population of TrkC+ sensory neurons forms part of a sensory-feedback mechanism that maintains cardiovascular homeostasis through the autonomic nervous system. [Display omitted] • TrkC+/Th+ DRG neurons project to blood vessels • Local stimulation of TrkC+ DRG neurons decreases vessel diameter and blood flow • Systemic activation of TrkC+ DRG neurons increases blood pressure and heart rate • Ablation of TrkC+ neurons dysregulates cardiovascular homeostasis and is lethal Morelli et al. identify a subpopulation of peripheral sensory neurons marked by TrkC and Th that projects to distal blood vessels. They demonstrate that these neurons regulate peripheral perfusion, blood pressure, and heart rate. [ABSTRACT FROM AUTHOR]