Enhancing directory virtualization to detect insider activity

Abstract

One of the critical yet lingering issues in computer security is insider threat, and it often takes advantage of some security services based on directory services such as authentication and access control. Detecting these threats is quite challenging because malicious users with the technical ability to leverage these services often have sufficient knowledge and expertise to conceal unauthorized activity. In this article, we present an approach using directory virtualization to monitor various systems across an enterprise for the purpose of detecting malicious insider activity. Specifically, a policy engine that leverages directory virtualization services is proposed to enhance monitoring and detecting capabilities by allowing greater flexibility in analyzing changes for malicious intent. The resulting architecture is a system-based approach, where the relationships and dependencies between data sources and directory services are used to detect an insider threat, rather than simply relying on point solutions. This paper presents such an architecture in detail, including a description of implementation results.

Mitigating insider threat in cloud relational databases

“…Their proposed approach gathers cross‐domain identity information, removes unnecessary accounts, and filters account data and access rights in order to prevent insiders from obtaining unauthorized information. Claycomb et al , proposed a framework for directory virtualization in order to detect insider attacks against directory services.…”