On Improving Robustness of Hardware Security Primitives and Resistance to Reverse Engineering Attacks

The continued growth of information technology (IT) industry and proliferation of interconnected devices has aggravated the problem of ensuring security and necessitated the need for novel, robust solutions. Physically unclonable functions (PUFs) have emerged as promising secure hardware primitives that can utilize the disorder introduced during manufacturing process to generate unique keys. They can be utilized as \textit{lightweight} roots-of-trust for use in authentication and key generation systems. Unlike insecure non-volatile memory (NVM) based key storage systems, PUFs provide an advantage -- no party, including the manufacturer, should be able to replicate the physical disorder and thus, effectively clone the PUF. However, certain practical problems impeded the widespread deployment of PUFs. This dissertation addresses such problems of (i) reliability and (ii) unclonability. Also, obfuscation techniques have proven necessary to protect intellectual property in the presence of an untrusted supply chain and are needed to aid against counterfeiting. This dissertation explores techniques utilizing layout and logic-aware obfuscation. Collectively, we present secure and cost-effective solutions to address crucial hardware security problems

Effect of Clock and Power Gating on Power Distribution Network Noise in 2D and 3D Integrated Circuits

In this work, power supply noise contribution, at a particular node on the power grid, from clock/power gated blocks is maximized at particular time and the synthetic gating patterns of the blocks that result in the maximum noise is obtained for the interval 0 to target time. We utilize wavelet based analysis as wavelets are a natural way of characterizing the time-frequency behavior of the power grid. The gating patterns for the blocks and the maximum supply noise at the Point of Interest at the specified target time obtained via a Linear Programming (LP) formulation (clock gating) and Genetic Algorithm based problem formulation (Power Gating)

Sulphur Mustard Induced Toxicity, Mechanism of Action and Current Medical Management

Sulphur mustard (SM), chemically, bis (2-chloroethyl) sulphide is a bifunctional alkylating agent that causes cutaneous blisters in human or animals. It was first used in the World War I. Since then, there have been 11 conflicts where SM allegedely had caused mass distruction. Additionally, discarded weapons and stockpiles periodically come to surface during agricultural or fishing activities leading to serious injury. Concerns for threat to modern societies by the serious effects of SM, agreements to ban its production and the use has been made as per 1993 chemical weapons convention (CWC) and agent destruction programs. This short review attempts to discuss the histroy, chemical nature, mechanism of toxicity, toxicokinetics, animal models used for SM induced skin and systemic lesions, pathogenesis of SM induced lesions including medical countermeasures for SM toxicity

Fly ash for high value added applications

The applications of fly ash under the category of manufacturing value added products have been broadly classified under two groups i.e., its use for extracting various resource materials like alumina, magnetite, carbon, cenospheres, titanium, gallium and various other trace elements and (ii) its use as raw materials for various specialized applications like ceramics, high temperature and acid resistant bricks, floor and wall tiles, mineral wool,light weight refractory, fillers, synthetic wood, sintered pozzolanic aggregate, building distempers etc. Other promising areas are ash alloys, foam insulation products and decorative glasses. In. this paper, various fly ash value added applications/ products have been subsequently covered

Automatic estimation of flux distributions of astrophysical source populations

In astrophysics a common goal is to infer the flux distribution of populations of scientifically interesting objects such as pulsars or supernovae. In practice, inference for the flux distribution is often conducted using the cumulative distribution of the number of sources detected at a given sensitivity. The resulting "$\log(N>S)$-$\log (S)$" relationship can be used to compare and evaluate theoretical models for source populations and their evolution. Under restrictive assumptions the relationship should be linear. In practice, however, when simple theoretical models fail, it is common for astrophysicists to use prespecified piecewise linear models. This paper proposes a methodology for estimating both the number and locations of "breakpoints" in astrophysical source populations that extends beyond existing work in this field. An important component of the proposed methodology is a new interwoven EM algorithm that computes parameter estimates. It is shown that in simple settings such estimates are asymptotically consistent despite the complex nature of the parameter space. Through simulation studies it is demonstrated that the proposed methodology is capable of accurately detecting structural breaks in a variety of parameter configurations. This paper concludes with an application of our methodology to the Chandra Deep Field North (CDFN) data set.Comment: Published in at http://dx.doi.org/10.1214/14-AOAS750 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

Current status of hepatocellular carcinoma detection: screening strategies and novel biomarkers.

Hepatocellular carcinoma (HCC) remains a major cause of cancer-related mortality worldwide. Delayed diagnosis is a major factor responsible for the poor prognosis of HCC. Several advances have been made in the field of liver imaging with the use of novel imaging contrasts, improving current imaging techniques with contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI), introduction of new technologies such as contrast liver ultrasound, and development of novel biomarkers with the goal of early detection of HCC and improving outcomes of patients with HCC. This review focuses on current surveillance strategies and development of biomarkers with the goal of early detection of HCC