Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Open Source Identity Management Patterns and Practices Using OpenAM 10.x

Buy

An intuitive guide to learning OpenAM access management capabilities for web and application servers

Overview

  • Learn patterns, practices, and the terminology of Identity Management
  • Learn how to install OpenAM 10.x
  • Protect web and application servers using policy agents
  • Protect applications using the Security Assertion Markup Language (SAML)
  • Integrated OAuth 2 logins like Facebook with OpenAM protected applications

In Detail

OpenAM is a web-based open source application that provides authentication, authorization, entitlement and federation services. OpenAM provides core identity services to simplify the implementation of transparent single sign-on (SSO) as a security component in a network infrastructure. It also provides the foundation for integrating diverse web applications that might typically operate against a disparate set of identity repositories and that are hosted on a variety of platforms such as web application servers.

Open Source Identity Management Patterns and Practices Using OpenAM 10.x is a condensed, practical guide on installing OpenAM to protect your web applications. This book will teach you how to integrate to different identity sources such as Active Directory or Facebook using two-factor authentications.

Open Source Identity Management Patterns and Practices Using OpenAM 10.x looks at Identity Management and how to implement it using OpenAM 10.x. It specifically focuses on providing authentication to your web application using either a local identity source or a cloud-based identity source, so you don’t have to worry about authentication in your application.

You will learn how to install OpenAM, and then how to install policy agents against your web and application servers to do authentication. In addition, we’ll focus on integrating to applications directly using SAML, either through the use of a small preconfigured application, or through a third-party SAML library. Finally, we’ll focus on integrating to cloud identity providers using OAuth 2.0 and utilizing two-factor authentication.

If you want a scalable robust identity management infrastructure, Open Source Identity Management Principles and Patterns Using OpenAM 10.x will get you up and running in the least amount of time possible.

What you will learn from this book

  • Understand Identity Management principles
  • Install OpenAM 10.x
  • Install policy agents against Apache Web Server and Tomcat Servlet Container
  • Implement cross-domain authentication
  • Implement distributed authentication using DMZs
  • Deploy Java application authentication quickly using Fedlets
  • Understand the federation of applications to OpenAM using SAML
  • Integrate to cloud-based identity providers using OAuth 2.0
  • Configure two-factor authentication
  • Implement entitlements with REST and XACML

Approach

This is a Packt Mini in a tutorial format that provides multiple examples on Identity Management using OpenAM 10.x.

Who this book is written for

Open Source Identity Management Patterns and Practices Using OpenAM 10.x is great for developers and architects who are new to Identity Management, and who want a brief overview of what’s possible and how to quickly implement a prototype. It’s assumed that you’ve had experience with web applications and some knowledge of Apache and Tomcat.

(HTML tags aren't allowed.)

Web Development Solutions: Ajax, APIs, Libraries, and Hosted Services Made Easy
Web Development Solutions: Ajax, APIs, Libraries, and Hosted Services Made Easy
As a web user, you'll no doubt have noticed some of the breathtaking applications available in today's modern web, such as Google Maps and Flickrdesktop applications than the old style web sites you are used to. You've probably also wished that you could create such things, and then thought "nahhh, I'd need to know a lot of complicated code to...
Statistical Analysis with R For Dummies (For Dummies (Computers))
Statistical Analysis with R For Dummies (For Dummies (Computers))

Understanding the world of R programming and analysis has never been easier

Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical...

Python Data Analysis
Python Data Analysis

Learn how to apply powerful data analysis techniques with popular open source Python modules

About This Book

  • Learn how to find, manipulate, and analyze data using Python
  • Perform advanced, high performance linear algebra and mathematical calculations with clean and efficient Python...

Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!
Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!

Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of...

RESTful Rails Development: Building Open Applications and Services
RESTful Rails Development: Building Open Applications and Services

The Web is slowly but surely changing from a model in which a human reader browses content on web pages to a model in which services and clients (not necessarily humans) exchange information. And because of this, author Silvia Puglisi explains, it makes more sense to build platforms instead of just products or applications. Platforms...

Parallel Programming with Python
Parallel Programming with Python

Develop efficient parallel systems using the robust Python environment

About This Book

  • Demonstrates the concepts of Python parallel programming
  • Boosts your Python computing capabilities
  • Contains easy-to-understand explanations and plenty of examples

Who...

©2018 LearnIT (support@pdfchm.net) - Privacy Policy