Securing web applications with predicate access control

Zhaomo Yang, Kirill Levchenko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Web application security is an increasingly important concern as we entrust these applications to handle sensitive user data. Security vulnerabilities in these applications are quite common, however, allowing malicious users to steal other application users’ data. A more reliable mechanism for enforcing application security policies is needed. Most applications rely on a database to store user data, making it a natural point to introduce additional access controls. Unfortunately, existing database access control mechanisms are too coarse-grained to express an application security policy. In this paper we propose and implement a fine-grained access control mechanism for controlling access to user data. Application access control policy is expressed using row-level access predicates, which allow an application’s access control policy to be extended to the database. These predicates are expressed using the SQL syntax familiar to developers, minimizing the developer effort necessary to take advantage of this mechanism. We implement our predicate access control system in the PostgreSQL 9.2 DBMS and evaluate our system by developing an access control policy for the Drupal 7 and Spree Commerce. Our mechanism protected Drupal and Spree against five known security vulnerabilities.

Original languageEnglish (US)
Title of host publicationData and Applications Security and Privacy XXXI - 31st Annual IFIP WG 11.3 Conference, DBSec 2017, Proceedings
EditorsSencun Zhu, Giovanni Livraga
PublisherSpringer
Pages541-554
Number of pages14
ISBN (Print)9783319611754
DOIs
StatePublished - 2017
Externally publishedYes
Event31st Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2017 - Philadelphia, United States
Duration: Jul 19 2017Jul 21 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10359 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other31st Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2017
Country/TerritoryUnited States
CityPhiladelphia
Period7/19/177/21/17

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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