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Deep Neural Networks (DNNs) are at the heart of many of today's most innovative technologies. With companies investing lots of resources to design, build and optimize these networks for their custom products, DNNs are now integral to many companies' ...

This paper surveys results in the use of neural networks and deep learning in two areas of hardware security: power attacks and physically-unclonable functions (PUFs).

Maliciously-injected power load, a.k.a. power attack, has recently surfaced as a new egregious attack vector for dangerously compromising the data center availability. This paper focuses on the emerging threat of power attacks in a multi-tenant ...

The common practice of power infrastructure oversubscription in data centers exposes dangerous vulnerabilities to well-timed power attacks (i.e., maliciously timed power loads), possibly creating outages and resulting in multimillion-dollar losses. In ...

The common practice of power infrastructure oversubscription in data centers exposes dangerous vulnerabilities to well-timed power attacks (i.e., maliciously timed power loads to overload the infrastructure capacity), possibly creating outages and ...

The power capacity of multi-tenant data centers is typically oversubscribed in order to increase the utilization of expensive power infrastructure. This practice can create dangerous situations and compromise data center availability if the designed ...

Entering the era of remote health monitoring and wearable devices, wireless body area networks (BSNs) are growing at a fast pace. However, energy restriction of micro-battery of a bio-sensor makes BANs vulnerable to malicious attacks. In this paper, we ...

Battery systems are crucial components for mission-critical data centers. Without secure energy backup, existing under-provisioned data centers are largely unguarded targets for cyber criminals. Particularly for today's scale-out servers, power ...

We propose several abstract models for power distribution systems (PDSs) and show how the physics of PDNs pose limits on our ability to protect against power attacks. Integrated circuits increasingly use integrated voltage regulators (IVRs) to condition ...

This paper is devoted to the design and the physical security of a parallel dual-core flexible cryptoprocessor for computing pairings over Barreto-Naehrig (BN) curves. The proposed design is specifically optimized for field-programmable gate-array (FPGA)...

This work deals with the design and implementation of pairing based cryptographic hardware and its security analysis against side-channel and fault attacks.

In this work a cryptographically robust S-box based on nonlinear Cellular Automata rules has been developed. Properties suggest that the robustness of the proposed construction is better than that proposed by Seberry et al. [1]. Though the proposed S-...

In [9] Walter and Thompson introduced a new side-channel attack on the secret exponents of modular exponentiations which uses techniques from timing attacks to exploit specific information gained by a power attack. Walter and Thompson assumed that the ...