Updated to cover Windows Server 2012, the fifth edition of this bestselling book gives you a thorough grounding in Microsoft's network directory service by explaining concepts in an easy-to-understand, narrative style.You'll negotiate a maze of technologies for deploying a scalable and reliable AD infrastructure, with new chapters on management tools, searching the AD database, authentication and security protocols, and Active Directory Federation Services (ADFS). This book provides real-world scenarios that let you apply what you've learned--ideal whether you're a network administrator for a small business or a multinational enterprise.Upgrade Active Directory to Windows Server 2012Learn the fundamentals, including how AD stores objectsUse the AD Administrative Center and other management toolsLearn to administer AD with Windows PowerShellSearch and gather AD data, using the LDAP query syntaxUnderstand how Group Policy functionsDesign a new Active Directory forestExamine the Kerberos security protocolGet a detailed look at the AD replication process

    I asked other people and they didn't seem to know how these things work, or at least they couldn't explain them in a way that I could understand. Counter Hack Reloaded is the clearest explanation of these tools I have ever seen. Thank you!" --Stephen Northcutt, CEO, SANS Institute "Ed Skoudis does it again! With this new edition, Ed takes a phenomenal work to the next level! This book is a 'must-have' and a 'must-read' for anyone remotely associated with computers and computer security." --Harlan Carvey, CISSP, author of Windows Forensics and Incident Recovery "Ed Skoudis is a rare individual. He knows the innards of all the various systems, knows all the latest exploits and defenses, and yet is able to explain everything at just the right level. The first edition of Counter Hack was a fascinating read. It's technically intriguing and very clear. . . . A book on vulnerabilities, though, will get out of date, and so we definitely needed this updated and significantly rewritten second edition. This book is a wonderful overview of the field." --From the Foreword by Radia Perlman, series editor, The Radia Perlman Series in Computer Networking and Security; author of Interconnections; and coauthor of Network Security: Private Communications in a Public World "What a great partnership! Ed Skoudis and Tom Liston share an uncanny talent for explaining even the most challenging security concepts in a clear and enjoyable manner. Counter Hack Reloaded is an indispensable resource for those who want to improve their defenses and understand the mechanics of computer attacks." --Lenny Zeltser, coauthor of Malware: Fighting Malicious Code "Ed Skoudis does it again! With this new edition, Ed takes a phenomenal work to the next level! This book is a 'must-have' and a 'must-read' for anyone remotely associated with computers and computer security." --Harlan Carvey, CISSP, author of Windows Forensics and Incident Recovery "In addition to having breadth of knowledge about and probing insights into network security, Ed Skoudis's real strength is in his ability to show complex topics in an understandable form. By the time he's done, what started off as a hopeless conglomeration of acronyms starts to sound comfortable and familiar. This book is your best source for understanding attack strategies, attack tools, and the defenses against both." --William Stearns, network security expert, www.stearns.org "This book is a must-have for anyone in the Internet security game. It covers everything from the basic principles to the fine details of online attack methods and counter-strategies and is very engagingly written." --Warwick Ford, coauthor of Secure Electronic Commerce For years, Counter Hack has been the primary resource for every network/system administrator and security professional who needs a deep, hands-on understanding of hacker attacks and countermeasures. Now, leading network security expert Ed Skoudis, with Tom Liston, has thoroughly updated this best-selling guide, showing how to defeat today's newest, most sophisticated, and most destructive attacks.For this second edition, more than half the content is new and updated, including coverage of the latest hacker techniques for scanning networks, gaining and maintaining access, and preventing detection. The authors walk you through each attack and demystify every tool and tactic. You'll learn exactly how to establish effective defenses, recognize attacks in progress, and respond quickly and effectively in both UNIX/Linux and Windows environments.Important features of this new edition includeAll-new "anatomy-of-an-attack" scenarios and tools An all-new section on wireless hacking: war driving, wireless sniffing attacks, and more Fully updated coverage of reconnaissance tools, including Nmap port scanning and "Google hacking" New coverage of tools for gaining access, including uncovering Windows and Linux vulnerabilities with Metasploit New information on dangerous, hard-to-detect, kernel-mode rootkits

    One slogan of Perl is that it makes easy things easy and hard things possible. "Intermediate Perl" is about making the leap from the easy things to the hard ones.Originally released in 2003 as "Learning Perl Objects, References, and Modules" and revised and updated for Perl 5.8, this book offers a gentle but thorough introduction to intermediate programming in Perl. Written by the authors of the best-selling "Learning Perl," it picks up where that book left off. Topics include: Packages and namespacesReferences and scopingManipulating complex data structuresObject-oriented programmingWriting and using modulesTesting Perl codeContributing to CPANFollowing the successful format of "Learning Perl," we designed each chapter in the book to be small enough to be read in just an hour or two, ending with a series of exercises to help you practice what you've learned. To use the book, you just need to be familiar with the material in "Learning Perl" and have ambition to go further.Perl is a different language to different people. It is a quick scripting tool for some, and a fully-featured object-oriented language for others. It is used for everything from performing quick global replacements on text files, to crunching huge, complex sets of scientific data that take weeks to process. Perl is what you make of it. But regardless of what you use Perl for, this book helps you do it more effectively, efficiently, and elegantly."Intermediate Perl" is about learning to use Perl as a programming language, and not just a scripting language. This is the book that turns the Perl dabbler into the Perl programmer.

    The book progresses into a discussion of the Xbox security mechanisms and other advanced hacking topics, with an emphasis on educating the readers on the important subjects of computer security and reverse engineering. Hacking the Xbox includes numerous practical guides, such as where to get hacking gear, soldering techniques, debugging tips and an Xbox hardware reference guide.Hacking the Xbox also confronts the social and political issues facing today's hacker by looking forward and discussing the impact of today's legal challenges on legitimate reverse engineering activities. The book includes a chapter written by the Electronic Frontier Foundation (EFF) about the rights and responsibilities of hackers, and concludes by discussing the latest trends and vulnerabilities in secure PC platforms.

    You need to assume it will run in the most hostile environments imaginable -- and design, code, and test accordingly. Writing Secure Code, Second Edition shows you how. This edition draws on the lessons learned and taught throughout Microsoft during the firm s massive 2002 Windows Security Push. It s a huge upgrade to the respected First Edition, with new coverage across the board. Michael Howard and David LeBlanc first help you define what security means to your customers -- and implement a three-pronged strategy for securing design, defaults, and deployment. There s especially useful coverage of threat modeling -- decomposing your application, identifying threats, ranking them, and mitigating them. Then, it s on to in-depth coverage of today s key security issues from the developer s standpoint. Everyone knows buffer overruns are bad: Here s a full chapter on avoiding them. You ll learn how to establish appropriate access controls and default to running with least privilege. There s detailed coverage of overcoming attacks on cryptography (for example, avoiding poor random numbers and bit-flipping attacks). You ll learn countermeasures for virtually every form of user input attack, from malicious database updates to cross-site scripting. We ve just scratched the surface: There are authoritative techniques for securing sockets and RPC, protecting against DOS attacks, building safer .NET applications, reviewing and testing code, adding privacy features, and even writing high-quality security documentation. Following these techniques won t just improve security -- it ll dramatically improve robustness and reliability, too. Bill CamardaBill Camarda is a consultant, writer, and web/multimedia content developer. His 15 books include Special Edition Using Word 2000 and Upgrading & Fixing Networks For Dummies®, Second Edition.

    Short chapters are paired with free interactive online exercises to teach the fundamentals of HTML and CSS. Written for beginners, useful for experienced developers who want to sharpen their skills. Prepares the reader to code a website of medium complexity. The learner spends two to three times as long practicing as he does reading. Based on cognitive research showing that retention increases 400 percent when learners are challenged to retrieve the information they just read. Explanations are in plain, nontechnical English that people of all backgrounds can readily understand. With ample coding examples and illustrations.

    Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    JavaScript lets designers add sparkle and life to web pages, while more complex JavaScript has led to the rise of Ajax -- the latest rage in web development that allows developers to create powerful and more responsive applications in the browser window."Learning JavaScript" introduces this powerful scripting language to web designers and developers in easy-to-understand terms. Using the latest examples from modern browser development practices, this book teaches you how to integrate the language with the browser environment, and how to practice proper coding techniques for standards-compliant web sites. By the end of the book, you'll be able to use all of the JavaScript language and many of the object models provided by web browsers, and you'll even be able to create a basic Ajax application.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.