21,636 research outputs found
Toward optimal multi-objective models of network security: Survey
Information security is an important aspect of a successful business today. However, financial difficulties and budget cuts create a problem of selecting appropriate security measures and keeping networked systems up and running. Economic models proposed in the literature do not address the challenging problem of security countermeasure selection. We have made a classification of security models, which can be used to harden a system in a cost effective manner based on the methodologies used. In addition, we have specified the challenges of the simplified risk assessment approaches used in the economic models and have made recommendations how the challenges can be addressed in order to support decision makers
Towards optimal multi-objective models of network security: survey
Information security is an important aspect of a successful business today. However, financial difficulties and budget cuts create a problem of selecting appropriate security measures and keeping networked systems up and running. Economic models proposed in the literature do not address the challenging problem of security countermeasure selection. We have made a classification of security models, which can be used to harden a system in a cost effective manner based on the methodologies used. In addition, we have specified the challenges of the simplified risk assessment approaches used in the economic models and have made recommendations how the challenges can be addressed in order to support decision makers
A Stochastic Model of Active Cyber Defense Dynamics
The concept of active cyber defense has been proposed for years. However,
there are no mathematical models for characterizing the effectiveness of active
cyber defense. In this paper, we fill the void by proposing a novel Markov
process model that is native to the interaction between cyber attack and active
cyber defense. Unfortunately, the native Markov process model cannot be tackled
by the techniques we are aware of. We therefore simplify, via mean-field
approximation, the Markov process model as a Dynamic System model that is
amenable to analysis. This allows us to derive a set of valuable analytical
results that characterize the effectiveness of four types of active cyber
defense dynamics. Simulations show that the analytical results are inherent to
the native Markov process model, and therefore justify the validity of the
Dynamic System model. We also discuss the side-effect of the mean-field
approximation and its implications
Towards Realistic Threat Modeling: Attack Commodification, Irrelevant Vulnerabilities, and Unrealistic Assumptions
Current threat models typically consider all possible ways an attacker can
penetrate a system and assign probabilities to each path according to some
metric (e.g. time-to-compromise). In this paper we discuss how this view
hinders the realness of both technical (e.g. attack graphs) and strategic (e.g.
game theory) approaches of current threat modeling, and propose to steer away
by looking more carefully at attack characteristics and attacker environment.
We use a toy threat model for ICS attacks to show how a realistic view of
attack instances can emerge from a simple analysis of attack phases and
attacker limitations.Comment: Proceedings of the 2017 Workshop on Automated Decision Making for
Active Cyber Defens
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