Trust Management in Monitoring Financial Critical Information Infrastructures

Lodi, Giorgia; Baldoni, Roberto; Elshaafi, Hisain; Mulcahy, Barry P.; Csertán, György; Gönczy, László

doi:10.1007/978-3-642-16644-0_37

Cited by 2 publications

(3 citation statements)

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“…These are, for example, the selected encryption key length, the ratio of encrypted/signed content, or the time required to transfer messages or the network latency.Application‐specific metrics describe the applications running over the overlay, for example, the version of the application running, and the number of available but not installed security updates for that particular version.Overlay‐specific metrics encompass metrics that describe the attributes of the overlay as a whole. For example, K ‐connectivity or proximity properties of the overlay are included.Trust metrics include trust level measurements for CoMiFin participants .…”

Section: Trustworthiness Metricsmentioning

confidence: 99%

“…For example, K-connectivity or proximity properties of the overlay are included. (6) Trust metrics include trust level measurements for CoMiFin participants [33].…”

Section: Overview Of Calculated Metrics Within Comifinmentioning

confidence: 99%

“…Also, a trust evaluation plug‐in is integrated to score measurement on the basis of trust level of participants (in Ref. , we further elaborate the trust issues).…”

Section: Metric‐based Quality Of Protection Assessmentmentioning

confidence: 99%

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Assessing the security of internet‐connected critical infrastructures

Ghani

Khelil

Suri

et al. 2012

Security Comm Networks

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Because the Internet of Things (IoT) pervasively extends to all facets of life, the “things” are increasingly extending to include the interconnection of the Internet to critical infrastructures (CIs) such as telecommunication, power grid, transportation, e‐commerce systems, and others. The objective of this paper is twofold: (i) addressing IoT from a CI protection (CIP) and connectivity viewpoint, and (ii) highlighting the need for security quantification to improve the quality of protection (QoP) of CIs. Using a financial infrastructure as an example, a CIP and trust quantification perspective is built up. To this end, we are developing a novel security metrics‐based approach to assess and thereon enhance the CIP. We focus on the communication level of the CI where IoT is playing an increasingly important role with respect to sensing and communication across CI elements. Determining the security and dependability level of the communication over the CI constitutes a basic precondition for assessing the QoP of the whole CI, which is needed for any efforts to improve this QoP. Because metrics play a central role for such quantification, this paper develops their QoP use from an IoT perspective, and a reference implementation along with experimental results is presented. Copyright © 2012 John Wiley & Sons, Ltd.

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Section: Trustworthiness Metricsmentioning

confidence: 99%

“…For example, K-connectivity or proximity properties of the overlay are included. (6) Trust metrics include trust level measurements for CoMiFin participants [33].…”

Section: Overview Of Calculated Metrics Within Comifinmentioning

confidence: 99%