A service dependency modeling framework for policy-based response enforcement

  • Nizar Kheir
  • , Hervé Debar
  • , Frédéric Cuppens
  • , Nora Cuppens-Boulahia
  • , Jouni Viinikka

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The use of dynamic access control policies for threat response adapts local response decisions to high level system constraints. However, security policies are often carefully tightened during system design-time, and the large number of service dependencies in a system architecture makes their dynamic adaptation difficult. The enforcement of a single response rule requires performing multiple configuration changes on multiple services. This paper formally describes a Service Dependency Framework (SDF) in order to assist the response process in selecting the policy enforcement points (PEPs) capable of applying a dynamic response rule. It automatically derives elementary access rules from the generic access control, either allowed or denied by the dynamic response policy, so they can be locally managed by local PEPs. SDF introduces a requires/provides model of service dependencies. It models the service architecture in a modular way, and thus provides both extensibility and reusability of model components. SDF is defined using the Architecture Analysis and Design Language, which provides formal concepts for modeling system architectures. This paper presents a systematic treatment of the dependency model which aims to apply policy rules while minimizing configuration changes and reducing resource consumption.

Original languageEnglish
Title of host publicationDetection of Intrusions and Malware, and Vulnerability Assessment - 6th International Conference, DIMVA 2009, Proceedings
Pages176-195
Number of pages20
DOIs
Publication statusPublished - 9 Nov 2009
Externally publishedYes
Event6th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2009 - Como, Italy
Duration: 9 Jul 200910 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5587 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2009
Country/TerritoryItaly
CityComo
Period9/07/0910/07/09

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