An Advanced Persistent Threat Simulation Range for Research of Self-Adaptive Systems
Ryan Wagner,
David Garlan and Matthew Fredrikson.
2018. Submitted for publication.
Online links:
Abstract
While security is important to self-adaptive systems research, it is
particularly difficult to simulate the characteristics of the most
insidious adversary, the advanced persistent threat (APT). The
research community requires an APT simulation environment that
provides the realism and depth that is necessary for a sufficient
simulation, but this should not be too complex, difficult, or
expensive to use. Additionally, a successful simulation
environment must ensure that malware does not escape into the
wild. We present a cyber range for self-adaptive systems
researchers to simulate APTs, complete with an example system
under test and attack scenario. |
Keywords: Science of Security.
@Unpublished{2018/APTArtifact,
AUTHOR = {Wagner, Ryan and Garlan, David and Fredrikson, Matthew},
TITLE = {An Advanced Persistent Threat Simulation Range for Research of Self-Adaptive Systems},
YEAR = {2018},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/APT_Testbed.pdf},
ABSTRACT = {While security is important to self-adaptive systems research, it is
particularly difficult to simulate the characteristics of the most
insidious adversary, the advanced persistent threat (APT). The
research community requires an APT simulation environment that
provides the realism and depth that is necessary for a sufficient
simulation, but this should not be too complex, difficult, or
expensive to use. Additionally, a successful simulation
environment must ensure that malware does not escape into the
wild. We present a cyber range for self-adaptive systems
researchers to simulate APTs, complete with an example system
under test and attack scenario.},
NOTE = {Submitted for publication},
KEYWORDS = {Science of Security} }
|