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Interoperability Common Identity Repository
European Commission – Directorate-General Migration & Home Affairs Unit B3 – Information Systems for Borders and Security 1
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sBMS (without templates)
ESP MID ID info ID info ID info ID info ID info Interpol Europol SIS EES ETIAS VIS Eurodac ECRIS-TCN sBMS (without templates) S&D proposal
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Programmable Matching
Storage & processing of biometrics in our current systems SIS VIS Eurodac server/db SIS images VIS images SIS-AFIS BMS Programmable Matching Accelerators Templates only! A biometric search or verification takes place here! BMS & SIS-AFIS are Morpho systems (now Idemia) Eurodac PMA are from Cogent (->3M->Gemalto) SIS, VIS and Eurodac server are STERIA/HP systems
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Apple Touch ID example Secure Enclave
The chip in your device includes an advanced security architecture called the Secure Enclave, which was developed to protect your passcode and fingerprint data. Touch ID doesn't store any images of your fingerprint, and instead relies only on a mathematical representation. It isn't possible for someone to reverse engineer your actual fingerprint image from this stored data.
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ESP MID ID info ID info ID info ID info ID info ID info Interpol
Data Indexer Data Indexer Data Indexer Data Indexer Data Indexer Data Indexer ID info ID info ID info ID info ID info ID info Interpol Europol SIS EES ETIAS VIS Eurodac ECRIS-TCN Biometric images Biometric images Biometric images Biometric images Biometric images sBMS (templates only) S&D proposal (modified) The ‘data indexer’ - more commonly known as ‘search engine’ - is the data processor component of a database allowing to search data contained in the database. This indexer/engine needs to be closely coupled with the database holding the data to prevent inconsistencies.
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ESP MID ID info ID info ID info ID info ID info ID info Interpol
Oracle Full-Text QWANT CONDUIT ELISE YANDEX BING ID info ID info ID info ID info ID info ID info Interpol Europol SIS EES ETIAS VIS Eurodac ECRIS-TCN Biometric images Biometric images Biometric images Biometric images Biometric images sBMS (templates only) S&D proposal (modified) Each company (or consortium) has specific experience with a limited number of engines (or often only one). Public procurement often leads to different engines (VIS and SIS are already different; EES and ETIAS will probably be built by different companies; same for Eurodac and ECRIS-TCN). They form the most expensive part of a system. Each system has different requirements, different response times, different availabilities, different possibilities, different accuracies, etc.
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ESP MID ID info ID info ID info ID info ID info ID info Interpol
QWANT CONDUIT ELISE YANDEX BING Oracle Full-Text ID info ID info ID info ID info ID info ID info Interpol Europol SIS EES ETIAS VIS Eurodac ECRIS-TCN Biometric images Biometric images Biometric images Biometric images Biometric images sBMS (templates only) S&D proposal (modified) For the use of an ESP, this concept will work ok but requires adaptations on each individual system (harmonisation of response times and availability) For Article 20 (police identification), this concept will work but requires adaptations on each individual system (new transaction, logfile, limit data in response) For Article 22 (law-enforcement first search), this concept will lead to errors, mismatches, inconsistencies. It also requires adaptations on each individual system (new transaction, logfile, limit data in response, harmonisation of response times/availability/functionality) For the Multiple-Identity Detector, this concept of different indexers/engines will not work
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MID needs a CIR indexer/engine MID ID info ID info ID info ID info
Data Indexer/Engine Oracle Full-Text QWANT CONDUIT ELISE YANDEX BING ID info ID info ID info ID info ID info ID info SIS EES ETIAS VIS Eurodac ECRIS-TCN Biometric images Biometric images Biometric images Biometric images Biometric images sBMS (templates only) The MID must rely on one single indexer/engine with the exact same behaviour for all biographic identity data; this will minimise errors, mismatches and inconsistencies It will have the same response time, the same availability for all biographic data This single indexer will be cheaper than five full-blown different solutions It will facilitate the work of eu-LISA All improvements, corrections will be done on one engine, positively affecting the quality of all data It will process biographical identity data in the exact same way, regardless of the person
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MID needs a CIR MID ID info ID info EES ETIAS VIS Eurodac ECRIS-TCN
Police Identification MID Data Indexer/Engine Law Enforcement 1st step ID info Biometric images access log ID info Oracle Full-Text EES ETIAS VIS Eurodac ECRIS-TCN ID info SIS Biometric images Biometric images sBMS (templates only) The storage of biographical identity data should follow the exact same structure, format, content, transliteration rules. Using the CIR as a new component will simplify eu-LISA’s work while working with one contractor doing this work The “ID info” is ‘removed’ from the systems and ‘moved’ to the CIR The storage of the identity data in the CIR will improve coherence & consistency and reduce errors for links in the MID as these links only concern two data sources (CIR & SIS) Storage of identity data in the CIR is required to support the new functionality of police identifications and the law enforcement first step; by design, it limits available data to identity data or a simple hit/no-hit In accordance with Article 21, if a possible link is detected, the authority is ONLY given access to the identity data in the CIR, nothing else. The specific access log of the CIR greatly facilitates auditing the use of the CIR for purposes of MID, police identifications, law enforcement first step, etc. Biometric images will be moved into the CIR for coherence with the biographical identity data and to support the new Art.20/22 functionalities by design. All sBMS transactions are then also logged by the CIR access log (except SIS)
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Common Identity Repository for TCNs
What data is stored where? (some examples) Common Identity Repository for TCNs Frank SMITH M 16/06/1946 USA Frank SMITH M 16/06/1946 USA Lea Tolstoy M 08/10/1952 RUS EES ETIAS VIS Entry Rome, IT 23/05/2018 Exit Palermo, IT 27/05/2017 Entry Warsaw, PL 05/07/2017 Exit Hamburg, DE 08/07/2017 Born in New York (US) Address Washington Professional visit No major diseases Sufficient funds Health insurance: xyz Born in Tula (RU) Address Moscow Tourism visit No invitation Sufficient funds Port of first entry: Berlin, DE Multiple-Entry visa Shared BMS
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SIS data complex/costly to put in CIR
MID Data Indexer/Engine ID info N-SIS Oracle Full-Text EES ETIAS VIS Eurodac ECRIS-TCN ID info SIS Biometric images sBMS (templates only) The ideal situation would have been to put the SIS identity data of ‘person-alerts’ also in the CIR The various national copies (full, partial, technical, with/without biometrics) would render this very complex (if not impossible) and very costly as all copies would need modifications 12
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