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A Guide to Kernel Exploitation

A Guide to Kernel Exploitation: Attacking the Core discusses the theoretical techniques and approaches needed to develop reliable and;

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Hands-On Penetration Testing on Windows

exploitation of Windows kernel drivers Understand advanced Windows concepts and protections, and how to bypass them using Kali Linux Discover Windows;

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FreeDOS Kernel

Master operation system development. FreeDOS Kernel explains the construction and operation of Pat Villani's DOS-C - a highly portable;

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Linux Kernel Programming Part 2 - Char Device Drivers and Kernel Synchronization

- Char Device Drivers and Kernel Synchronization is an ideal companion guide to the Linux Kernel Programming book. This book provides a;

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Kernel Methods for Remote Sensing Data Analysis

now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods;

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Linux Kernel Development

, implementation, and interfaces. It covers the Linux kernel with both a practical and theoretical eye, which should appeal to readers with a variety;

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Nonlinear Numerical Analysis in Reproducing Kernel Space

researches are active in the recent five years, there is still not a book on the application of reproducing kernel. This book attempts to introduce;

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Linux Kernel Networking

kernel networking is a complex topic, so the book won't burden you with topics not directly related to networking. This book will also not;

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Learning Red Hat Linux

A guide for intermediate to advanced users highlights the latest Linux kernel and updated libraries while offering expert advice on;

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Kernel Mean Embedding of Distributions

and statistical inference. The basic idea behind this framework is to map distributions into a reproducing kernel Hilbert space (RKHS;

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Linux Device Driver Development Cookbook

drivers Via a practical approach, learn core concepts of developing device drivers Program a custom character device to get access to kernel;

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Kernel Smoothing

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets.The basic principle is that local;

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Data-Variant Kernel Analysis

covers kernel analysis topics ranging from the fundamental theory of kernel functions to its applications. The book surveys the current status;

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Asymmetric Kernel Smoothing

This is the first book to provide an accessible and comprehensive introduction to a newly developed smoothing technique using asymmetric;

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Advanced Infrastructure Penetration Testing

A highly detailed guide to performing powerful attack vectors in many hands-on scenarios and defending significant security flaws in your;

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Linux Observability with BPF Advanced Programming for Performance Analysis and Networking

in the kernel in a secure way-no need to recompile the kernel or reboot the system Explore code examples in C, Go, and Python Gain a more;

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Kernel Methods And Machine Learning

Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides;

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Digital Signal Processing with Kernel Methods

A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to;

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Kernel Mode Decomposition and the Programming of Kernels

alternative (programming) approach to the kernel selection problem while using mode decomposition as a prototypical pattern recognition problem;

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Maize Kernel Development

This is an authoritative book that acts as a guide to understanding maize kernel development. Written by a team of experts, it covers;

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Kernel Adaptive Filtering

Reproducing kernel Hilbert spaces is a topic of great current interest for applications in signal processing, communications, and controls;

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Kernels For Structured Data

applied to structured data. Kernel methods are a class of state-of-the-art learning algorithms that exhibit excellent learning results in several;

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Facial Expression Recognition

of human facial expressions and kernel principal component analysis (kernel PCA) with fractional polynomial power models. A mean vector of features;

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Linux for Embedded and Real-time Applications

again!* 100+ pages of new material adds depth and breadth to the 2003 embedded bestseller. * Covers new Linux kernel 2.6 and;

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Kernel Methods for Pattern Analysis

tutorials, fulfils two major roles: firstly it provides practitioners with a large toolkit of algorithms, kernels and solutions ready to use for;

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Study Guide to The Jungle by Upton Sinclair

A comprehensive study guide offering in-depth explanation, essay, and test prep for Upton Sinclair's The Jungle, a novel portraying the;

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Linux System Programming

kernel contributor Robert Love provides you with a tutorial on Linux system programming, a reference manual on Linux system calls, and an;

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