Name
Title | ||
|---|---|---|
Modeling observability in adaptive systems to defend against advanced persistent threats |
Abstract | ||
|---|---|---|
Advanced persistent threats (APTs) are a particularly troubling challenge for software systems. The adversarial nature of the security domain, and APTs in particular, poses unresolved challenges to the design of self-* systems, such as how to defend against multiple types of attackers with different goals and capabilities. In this interaction, the observability of each side is an important and under-investigated issue in the self-* domain. We propose a model of APT defense that elevates observability as a first-class concern. We evaluate this model by showing how an informed approach that uses observability improves the defender's utility compared to a uniform random strategy, can enable robust planning through sensitivity analysis, and can inform observability-related architectural design decisions.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3359986.3361208 | Proceedings of the 17th ACM-IEEE International Conference on Formal Methods and Models for System Design |
Keywords | Field | DocType |
adaptive systems, advanced persistent threats, game theory, observability | Observability,Computer science,Adaptive system,Theoretical computer science,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4503-6997-8 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cody Kinneer | 1 | 9 | 1.78 |
| Ryan Wagner | 2 | 0 | 0.34 |
| Fei Fang | 3 | 201 | 42.93 |
| Claire Le Goues | 4 | 1766 | 68.79 |
| David Garlan | 5 | 7861 | 761.63 |