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Information & Security : An International Journal
Article . 2020 . Peer-reviewed
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MonSys: A Scalable Platform for Monitoring Digital Services Availability, Threat Intelligence and Cyber Resilience Situational Awareness

Authors: George Sharkov; Yavor Papazov; Christina Todorova; Georgi Koykov; Georgi Zahariev a;

MonSys: A Scalable Platform for Monitoring Digital Services Availability, Threat Intelligence and Cyber Resilience Situational Awareness

Abstract

Today’s digital society implies interconnectivity between the online operations of different sectors of everyday life and economy alike. As a consequence, malicious activities targeted towards a single online service could hurt entire indus¬tries and multiple private and public organizations. This interdependence be¬tween online services and economic units is an imperative for targeted efforts ensuring the integrity and availability of individual systems and complex systems-of-systems alike. This article presents MonSys, a flexible, robust, and scalable monitoring platform, implement-ed as a cloud-based service and an on-premise solution, specifically de-signed to ad¬dress the need for ensuring service availability at an individual level. MonSys provides several standardized services availability checks, such as web-based services from multiple geographical locations, and a flexible platform and tools for defining customized complex services. Particular attention is paid to the processes of metrics collection, processing, storage, and querying. MonSys can perform custom availability checks for different types of infrastructures, such as various black-box, grey-box, and white-box availability checks/metrics. The article presents also results from piloting the platform on performance and scalability and options for integration in early-warning and intelligent signaling, based on behavioral pattern analysis and predictive simulations.

Keywords

cyber risk, cyber threat, early warning, resilience, scalability, Situational awareness, vulnerability analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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3
Top 10%
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5
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