OpenID Connect OpenID Connect

OpenID Connect

End-user Identity for Apps and APIs

    • 13,99 €
    • 13,99 €

Publisher Description

Signup and login with a Google, Yahoo, or Microsoft account can be found in more and more web and mobile apps. One login used by many, freeing the end-user from the burden of managing many accounts and passwords. Signup and login to a new app become so smooth and convenient, that end-users are much more likely to try a new app. 

For us developers of web and mobile apps, these signup and login features are attractive, too: we do not need to manage user credentials, and we get a higher conversion rate resulting in more new customers. In effect, this means cutting costs and increasing the number of new customers for our apps.

So how does this feature “Signup and login with Google, Yahoo, or Microsoft” work? It is realized with OpenID Connect, a standardized protocol for sharing end-user data in a secure and controlled manner. Exploring how OpenID Connect works, so we as developers can enjoy its benefits is the subject of this book. 

This book explains the overall concept of OpenID Connect, so we understand who the actors are, which endpoints and tokens are involved and how these elements interact in so-called flows. These flows tend to get confusing, so we visualize these flows as sequence diagrams, and show how to choose the flow that is appropriate for a given scenario. Using examples, we explore how the tokens are constructed, signed and encrypted with JWT, JWS, and JWE. 

This is not a programming book, don't expect implementations with a specific programming language or library. Instead, we focus on understanding OpenID Connect on a conceptual level, so we can design and architect apps that work with OpenID Connect. And OpenID Connect is the standard behind creating smooth login and signup experiences, increasing the customer signup rate, and creating highly converting apps.

GENRE
Computing & Internet
RELEASED
2019
3 February
LANGUAGE
EN
English
LENGTH
137
Pages
PUBLISHER
API-University Press
SIZE
3.5
MB
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