• Scalable privacy preserving intelligence analysis for resolving identities (SPIRIT)

    The SPIRIT project will take a novel approach in the development, testing, training and evaluation of a new scalable privacy preserving intelligence analysis for resolving identities system prototype.
  • Expected results

    The SPIRIT project will deliver a set of tools for the acquisition, analysis, modelling and visualisation of multimodal, multilingual and multimedia data (text, audio, video, image contents from closed and open sources, including the surface web, the deep web / dark nets and online social networks). The result is a platform that allows to create social graphs of heterogeneous named-entity relationships and to perform social and criminal network analysis on those graphs.
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The Workplan

SPIRIT Workplan.

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The Workplan

SPIRIT

SPIRIT Workplan

 

Ethical Μonitoring Structures and Procedures

Monitoring activities within the SPIRIT Project will be carried out by internal and external authorities.

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SPIRIT Ethical Monitoring Structures and Procedures

Monitoring activities within the SPIRIT project will be carried out by internal and external authorities.

Internal authorities are:

(i) the ethical and legal lead partner of the project UAB-IDT,

(ii) the Data Protection Officer, specially appointed to ensure strict compliance with the EU and national legal data protection frameworks.

The external authorities are:

(i) the Ethical Advisory Board (EAB) AB,

(ii) the Ethical Committees of the LEAs participating in the project,

(iii) National Data Protection Authorities.

Pilot Prototyping

Pilot Prototyping

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Pilot Prototyping

SPIRIT

Pilot Prototyping

About SPIRIT

The SPIRIT project will take a novel approach in the development, testing, training and evaluation of a new scalable privacy preserving intelligence analysis for resolving identities system prototype.

SPIRIT will start the initial development phase focussing on the use cases provided by the End User Partners wrapped in the privacy by design blanket to establish an early prototype that will be installed in each of the End User Partners’ offices. The system will utilise anonymised data sets combined with developed functionality to trawl through open source data securely behind each partner Forces’ firewall and security systems.

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SPIRIT

SPIRIT Tools

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Integrated Ethics & Privacy Protection

SPIRIT proactively monitors and analyses system activities in order to Read More
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Keyword based refined search

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Keyword based automated search

A third party/social media data acquisition service that provides information Read More
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Multi purpose web crawler

A web crawler has been integrated in SPIRIT. The crawler Read More
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Content Database System

The data collected and used by the other SPIRIT tools Read More
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Face extraction and matching

SPIRIT use state-of-the-art technologies to extract and analyse faces in
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Graph visualization

SPIRIT UI retrieves all data from the SPIRIT services and Read More
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Content Database System

Content Database System

The data collected and used by the other SPIRIT tools is managed in a graph database system that has been designed for the purposes of SPIRIT. This system consists of three components: The first component is the SPIRIT content database that contains data about investigations, about the media files discovered and used during the investigations, and about the social graph.

Logically, this database is represented using the Property Graph data model.

The second component is the database management system used to store the content database, for which SPIRIT employs ArangoDB which is a scalable multi- model NoSQL system that supports a suitable graph database model, as well as desirable transactional properties (ACID). The third component is a mediator service that provides a GraphQL API to enable the other SPIRIT tools to access the content database (queries and updates). This mediator service has been developed to provide the basis to add further abstraction layers to the graph database system. Such abstraction layers i) capture the semantics of the data via an ontology (to enable semantics-based graph analysis and sense making) and ii) include computational logic (graph traversal & analytics algorithms).

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SPIRIT Project Partners

About SPIRIT

The SPIRIT project will take a novel approach in the development, testing, training and evaluation of a new scalable privacy preserving intelligence analysis for resolving identities system prototype.

Contact us

p.fabbri@lutech.it

Project Coordinator: Mr. Paolo Fabbri (LUTECH SPA.)

kdavarakis@singularlogic.eu

Project Technical Coordinator: Dr. Costas Davarakis (Singularlogic SA)

support@spirit-tools.com

Project Support, Dissemination & Communication: NST AE