Home   Research Publications Members Related Software
IndexBrowse   BibliographiesMy selection
 Search: in   (word length ≥ 3)
      Login
Publication no #616   Download bibtex file Type :   Html | Bib | Both
Add to my selection
@InProceedings{Kinneer:2019:observability,
      AUTHOR = {Kinneer, Cody and Wagner, Ryan and Fang, Fei and Le Goues, Claire and Garlan, David},
      TITLE = {Modeling Observability in Adaptive Systems to Defend Against Advanced Persistent Threats},
      YEAR = {2019},
      MONTH = {9-11 October},
      BOOKTITLE = {Proceedings of the 17th ACM-IEEE International Conference on Formal Methods and Models for Systems Design (MEMCODE\'19)},
      ADDRESS = {San Diego, USA},
      PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/memocode2019.pdf},
      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.},
      KEYWORDS = {Science of Security, Self-adaptation}
}
    Created: 2019-09-18 09:00:44     Modified: 2023-04-03 10:30:54
Feedback: ABLE Webmaster
Last modified: Sat October 12 2019 16:15:32
        BibAdmin