Date of Award
Master of Science
Johnny S. Wong
In recent years, cost-sensitive intrusion response has gained
significant interest due to its emphasis on the balance between
potential damage incurred by the intrusion and cost of the response.
However, one of the challenges in applying this approach is defining a
consistent and adaptable measurement framework to evaluate the expected
benefit of a response. In this thesis we present a model and framework
for the cost-sensitive assessment and selection of intrusion response.
Specifically, we introduce a set of measurements that characterize the
potential costs associated with the intrusion handling process, and
propose an intrusion response evaluation method with respect to the risk
of potential intrusion damage, the effectiveness of the response action
and the response cost for a system. The proposed framework has the
important quality of abstracting the system security policy from the
response selection mechanism, permitting policy adjustments to be made
without changes to the model. We provide an implementation of the
proposed solution as an IDS-independent plugin tool, and demonstrate its
advantages over traditional static response systems and an existing
dynamic response system.
Christopher Roy Strasburg
Strasburg, Christopher Roy, "A framework for cost-sensitive automated selection of intrusion response" (2009). Graduate Theses and Dissertations. 10750.