11,464 research outputs found
Dynamic real-time risk analytics of uncontrollable states in complex internet of things systems, cyber risk at the edge
The Internet of Things (IoT) triggers new types of cyber risks. Therefore,
the integration of new IoT devices and services requires a self-assessment of
IoT cyber security posture. By security posture this article refers to the
cybersecurity strength of an organisation to predict, prevent and respond to
cyberthreats. At present, there is a gap in the state of the art, because there
are no self-assessment methods for quantifying IoT cyber risk posture. To
address this gap, an empirical analysis is performed of 12 cyber risk
assessment approaches. The results and the main findings from the analysis is
presented as the current and a target risk state for IoT systems, followed by
conclusions and recommendations on a transformation roadmap, describing how IoT
systems can achieve the target state with a new goal-oriented dependency model.
By target state, we refer to the cyber security target that matches the generic
security requirements of an organisation. The research paper studies and adapts
four alternatives for IoT risk assessment and identifies the goal-oriented
dependency modelling as a dominant approach among the risk assessment models
studied. The new goal-oriented dependency model in this article enables the
assessment of uncontrollable risk states in complex IoT systems and can be used
for a quantitative self-assessment of IoT cyber risk posture
Methodology for Designing Decision Support Systems for Visualising and Mitigating Supply Chain Cyber Risk from IoT Technologies
This paper proposes a methodology for designing decision support systems for
visualising and mitigating the Internet of Things cyber risks. Digital
technologies present new cyber risk in the supply chain which are often not
visible to companies participating in the supply chains. This study
investigates how the Internet of Things cyber risks can be visualised and
mitigated in the process of designing business and supply chain strategies. The
emerging DSS methodology present new findings on how digital technologies
affect business and supply chain systems. Through epistemological analysis, the
article derives with a decision support system for visualising supply chain
cyber risk from Internet of Things digital technologies. Such methods do not
exist at present and this represents the first attempt to devise a decision
support system that would enable practitioners to develop a step by step
process for visualising, assessing and mitigating the emerging cyber risk from
IoT technologies on shared infrastructure in legacy supply chain systems
CHORUS Deliverable 4.5: Report of the 3rd CHORUS Conference
The third and last CHORUS conference on Multimedia Search Engines took place from the 26th to the 27th of May 2009 in Brussels, Belgium. About 100 participants from 15 European countries, the US, Japan and Australia learned about the latest developments in the domain. An exhibition of 13 stands presented 16 research projects currently ongoing around the
world
- …