Saturday, September 24, 2016

JAAS vs AWS Security Policy vs RBAC vs FireBase vs ACL vs WTF ?

I've been thinking a bit about authentication and authorization lately, and while I may have my head semi-wrapped around authentication - authorization is kicking my ass a bit. Here's my understanding as of today.

First, there's something called "role based authorization" (RBAC) that pops up a lot, and is embodied in one way in the java EE specification. The basic idea behind RBAC is that a user (or a user group) is assigned a "role" that represents explicitly or implicitly a basket of permissions within an application. For example - an enterprise SAAS product that I work on at my day job defines "super user", "admin", and "standard" user roles under each customer's account. Each user is assigned a role that gives the user a certain basket of global permissions (this user can perform action X on any asset).

I was somewhat confused when I discovered that AWS defines an IAM role as a non-person user (or Principal in the JAAS world). It turns out that AWS implements something more powerful than the RBAC system I'm semi-familiar with - AWS builds up its security model around security policy specifications that can either be assigned to a user or group of users (like an RBAC role) or to an asset (like an ACL). When deciding whether a particular user may perform a particular action on a particular asset the AWS policy engine evaluates all applicable policies to come to a decision.

I have not worked at all with Google's Firebase, but it seems to implement a less powerful (compared to AWS IAM policies), but simpler access control mechanism that splits the difference between RBAC and ACL's via a policy specification that grants and restricts permissions on an application's tree of assets based on XPATH-like selection rules.

On thing I appreciate about Firebase's design is that it empowers the application developer with an access control mechanism, so if a team is building an application on Firebase, then the team's application can take advantage of Firebase's access control system to regulate access to the application's assets by the application's users.

On the other hand, The IAM policy tools in AWS provide a powerful mechanism for regulating what actions different team-members may take on AWS resources (S3 buckets, EC2 VM's, whatever) within a shared AWS account in which the team is deploying some application, but it's not clear to me how that team could leverage IAM's security policy engine within the team's own application to control how the application's (non-IAM) users may interact with the application's (non-AWS) assets. The AWS Cognito service seems to try to point in the direction of leveraging AWS policy within an application, but in an application space where business logic is implemented in the client, and the client interacts directly with the data-store. I'm still a member of the old school that thinks the client should implement UX, and access API's that implement the business logic and validation that precedes data manipulation.

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