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A cybersecurity situational awareness and information sharing solution for local public administrations based on advanced big data analysis

Deliverables

System and dependency analysis tool support adaptation

This deliverable includes the implemented and tested adaptation of the GraphingWiki tool to meet the needs of the CS-AWARE solution.

Design CS-AWARE common cloud-based software architecture and API specification

This includes visualisations of the overall final CS-AWARE architecture and list of APIs available with the necessary description and examples of usage.

System and dependency analysis (first iteration) – Cybersecurity requirements for local public administrations

This deliverable contains the first iteration of analysis results, with the purpose of defining the cybersecurity requirements for local public administrations. This deliverable is based on the first iterations of general requirements analysis of T2.1 and pilot specific analysis of T2.2. This deliverable is a direct input for T2.3.

Commercial actions report 2

This deliverable will document the latest developments regarding commercial actions taken.

Exploitation, dissemination and commercialisation report 2

This report will include all relevant information (both plan and performed activities) regarding the project exploitation, dissemination and commercialisation by the members of the consortium.

Commercial actions report 1

This deliverable will document the latest developments regarding commercial actions taken.

Exploitation, dissemination and commercialisation report

This report will include all relevant information (both plan and performed activities) regarding the project exploitation, dissemination and commercialisation by the members of the consortium.

System and dependency analysis (second iteration) – Pilot scenario definition

This deliverable refines the results of D2.1 based on the second iteration of analysis of T2.1 and T2.2. The analysis results is the basis for the pilot scenario definitions and provide input to the pilot deployment preparations.

CS-AWARE framework

This deliverable specifies the CS-AWARE framework defined in T2.3. Based on the initial analysis results presented in D2.1.1, this deliverable specifies the interrelation between the CS-AWARE building blocks as well as the relevant internal and external information sources to collect and share cybersecurity data. The CS-AWARE framework will be a requirement for the technical software architecture tasked in WP3.

Project’s public website, leaflet and poster

This deliverable essentially consists of the project’s website and any additional related material, such as leaflets, posters, etc. The website should be up by M3 and will be updated throughout the project duration.

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Publications

Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment

Author(s): Vivian S. Silva, André Freitas, Siegfried Handschuh
Published in: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). Honolulu, USA. 2019, Issue Annual, 2019

Security-Driven Information Flow Modelling for Component Integration in Complex Environments

Author(s): Veronika Kupfersberger, Thomas Schaberreiter, Gerald Quirchmayr
Published in: Proceedings of the 10th International Conference on Advances in Information Technology - IAIT 2018, 2018, Page(s) 1-8
DOI: 10.1145/3291280.3291797

Addressing Complex Problem Situations in Critical Infrastructures using Soft Systems Analysis: The CS-AWARE Approach

Author(s): Thomas Schaberreiter, Chris Wills, Gerald Quirchmayr and Juha Röning
Published in: SECURWARE 2017 : The Eleventh International Conference on Emerging Security Information, Systems and Technologies, Issue Annual, 2017, Page(s) 99-105

Applying Soft Systems Methodology to Complex Problem Situations in Critical Infrastructures: The CS-AWARE Case Study

Author(s): Veronika Kupfersberger, Thomas Schaberreiter, Chris Wills, Gerald Quirchmayr and Juha Röning
Published in: International Journal On Advances in Security, Issue vol 11, no 3&4, year 2018, 2018, Page(s) 191 - 200, ISSN 1942-2636