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Intelligence Network and Secure Platform for Evidence Correlation and Transfer (INSPECTr)

Description du projet

Adopter une approche high-tech pour s’attaquer aux cybercrimes

La cybercriminalité est un délit sans frontières qui exploite les technologies et Internet pour tirer profit des entreprises, des collectivités et des particuliers. Les agents de police chargés d’enquêter sur les cybercrimes doivent disposer des mêmes moyens d’accès aux technologies de pointe afin de lutter contre ces crimes et de démanteler les réseaux criminels. Le projet INSPECTr, financé par l’UE, intégrera une série d’approches de haute technologie, notamment l’analyse des mégadonnées, l’apprentissage automatique cognitif et les technologies de la blockchain, au sein d’une plateforme de renseignement partagée qui renforcera leurs capacités numériques et criminalistiques et réduira la complexité ainsi que le coût des collaborations transfrontalières. Cette plateforme intégrera les principes de protection de la vie privée et d’éthique dès la conception et tiendra compte des législations applicables aux niveaux national et international.

Objectif

Intelligence Network & Secure Platform for Evidence Correlation and Transfer (INSPECTr). The principal objective of INSPECTr will be to develop a shared intelligent platform and a novel process for gathering, analysing, prioritising and presenting key data to help in the prediction, detection and management of crime in support of multiple agencies at local, national and international level. This data will originate from the outputs of free and commercial digital forensic tools complemented by online resource gathering .

Using both structured and unstructured data as input, the developed platform will facilitate the ingestion and homogenisation of this data with increased levels of automisation, allowing for interoperability between outputs from multiple data formats.

Various knowledge discovery techniques will allow the investigator to visualise and bookmark important evidential material and export it to an investigative report. In addition to providing basic and advanced (cognitive) cross-correlation analysis with existing case data, this technique will aim to improve knowledge discovery across exhibit analysis within a case, between separate cases and ultimately, between interjurisdictional investigations.

INSPECTr will deploy big data analytics, cognitive machine learning and blockchain approaches to significantly improve digital and forensics capabilities for pan-European LEAs.

INSPECTr intends to reduce the complexity and the costs in law enforcement agencies and related actors to use leading edge analytical tools proportionally and in line with relevant legislation (including fundamental rights), with extended options for multi-level and cross-border collaboration for both reactive and preventive policing and facilitate the detection/prediction of cybercrime operations/trends.

The final developed platform will be freely available to all LEAs.

Appel à propositions

H2020-SU-SEC-2018-2019-2020

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Sous appel

H2020-SU-SEC-2018

Coordinateur

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Contribution nette de l'UE
€ 1 615 942,50
Adresse
BELFIELD
4 Dublin
Irlande

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Région
Ireland Eastern and Midland Dublin
Type d’activité
Higher or Secondary Education Establishments
Liens
Coût total
€ 1 615 942,50

Participants (19)