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areas in communications and related technologies, and many commercial products. Statistical Trend Analysis of Physically Unclonable;
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This book discusses the design principles of physically unclonable functions (PUFs) and how these can be employed in hardware-based;
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This book investigates the susceptibility of intrinsic physically unclonable function (PUF) implementations on reconfigurable hardware to;
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generators and entropy estimations; side-channel analysis and fault injection attacks; higher-order side-channel attacks; physically unclonable;
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are organized in technical sessions on cloud and virtualization, physically unclonable functions, mobile device security, socio-economic;
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organized in two tracks: a technical track with topics ranging from trusted computing and mobile devices to applied cryptography and physically;
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Physically unclonable functions (PUFs) are innovative physical security primitives that produce unclonable and inherent instance-specific;
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a lightweight Mutual authentication and ownership transfer protocol utilizing minimalistic cryptography using Physically Unclonable;
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some traditional tools in technical analysis, such as trend, trend Line, trend channel, Gann's Theory, moving averages, and Bollinger bands. It;
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Statistical Analysis and Modeling of Geographic Information with ArcView GIS is an update to Lee and Wong's Statistical Analysis with;
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they help realize, such as static and dynamic camouflaging, true random number generation, physically unclonable functions, secure;
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This book addresses the issue of Machine Learning (ML) attacks on Integrated Circuits through Physic;...
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In Physical Unclonable Functions in Theory and Practice, the authors present an in-depth overview of;...
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statistical analysis, is the definitive guide to understanding the vitally important statistical distributions, designed with upper level;
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, using techniques such as IC fingerprinting, physically unclonable functions and voltage-over-scaling. Coverage then turns to authentications;
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This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage;
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This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage;
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Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis;
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confidence band results. While survival analysis is a classic area of statistical study, the empirical likelihood methodology has only;
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confidence band results. While survival analysis is a classic area of statistical study, the empirical likelihood methodology has only;
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Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award;
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and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling;
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Cohesively Incorporates Statistical Theory with R Implementation Since the publication of the popular first edition of this;
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analysis techniques * Systemic and stepwise explanation of financial and statistical concepts using MS Excel functions * Prior;
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in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic;
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