ETSI TR 103 875-2 V1.1.1 (2023-03)
User Centric approach in Digital Ecosystem; The Smart Interface; Part 2: Smart Identity: A Proof of Concept
User Centric approach in Digital Ecosystem; The Smart Interface; Part 2: Smart Identity: A Proof of Concept
DTR/USER-0053
General Information
Standards Content (Sample)
TECHNICAL REPORT
User Centric approach in Digital Ecosystem;
The Smart Interface;
Part 2: Smart Identity: A Proof of Concept
2 ETSI TR 103 875-2 V1.1.1 (2023-03)
Reference
DTR/USER-0053
Keywords
cybersecurity, interface, QoS, user
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3 ETSI TR 103 875-2 V1.1.1 (2023-03)
Contents
Intellectual Property Rights . 4
Foreword . 4
Modal verbs terminology . 4
Introduction . 4
1 Scope . 5
2 References . 5
2.1 Normative references . 5
2.2 Informative references . 5
3 Definition of terms, symbols and abbreviations . 5
3.1 Terms . 5
3.2 Symbols . 5
3.3 Abbreviations . 5
4 Smart Identity: from definition to PoC design . 6
4.1 Identity definition . 6
4.2 From Identity to User Profile . 7
4.3 Knowledge base for Smart Identity: Potential profile . 9
4.4 PoC Design . 12
4.4.1 Data Collection . 12
4.4.2 SmartID: active profile . 12
5 Data collection . 13
5.1 User Profile service: data collection process . 13
5.2 Knowledge base tools . 13
5.3 Knowledge base . 13
6 Data processing . 14
6.1 Shaping the problem . 14
6.2 Resolution tools . 14
7 PoC: use case presentation . 14
7.1 User Story . 14
7.2 Potential Profile data . 15
7.3 Active profile . 15
8 PoC: realization (results) . 16
8.1 Platform description . 16
8.1.1 Activity diagram . 16
8.1.2 UML diagram of components . 17
8.2 Models building . 18
8.2.1 Operating principle of Transformers . 18
8.2.2 Model used for Smart-ID . 20
8.2.3 Similarity calculation . 20
8.3 Choice of tools and technologies . 21
8.4 Results . 21
8.4.1 First Model Use Scenario . 21
8.4.2 Second Model Use Scenario . 22
8.4.2.1 Similarity between sentences . 22
8.4.2.2 Resource Prediction . 23
Annex A: Code file for Proof of Concept . 24
Annex B: Change History . 25
History . 26
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4 ETSI TR 103 875-2 V1.1.1 (2023-03)
Intellectual Property Rights
Essential patents
IPRs essential or potentially essential to normative deliverables may have been declared to ETSI. The declarations
pertaining to these essential IPRs, if any, are publicly available for ETSI members and non-members, and can be
found in ETSI SR 000 314: "Intellectual Property Rights (IPRs); Essential, or potentially Essential, IPRs notified to
ETSI in respect of ETSI standards", which is available from the ETSI Secretariat. Latest updates are available on the
ETSI Web server (https://ipr.etsi.org/).
Pursuant to the ETSI Directives including the ETSI IPR Policy, no investigation regarding the essentiality of IPRs,
including IPR searches, has been carried out by ETSI. No guarantee can be given as to the existence of other IPRs not
referenced in ETSI SR 000 314 (or the updates on the ETSI Web server) which are, or may be, or may become,
essential to the present document.
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Foreword
This Technical Report (TR) has been produced by ETSI Special Commitee User Group (USER).
The present document is part 2 of a multi-part deliverable. Full details of the entire series can be found in part 1 [i.1].
Modal verbs terminology
In the present document "should", "should not", "may", "need not", "will", "will not", "can" and "cannot" are to be
interpreted as described in clause 3.2 of the ETSI Drafting Rules (Verbal forms for the expression of provisions).
"must" and "must not" are NOT allowed in ETSI deliverables except when used in direct citation.
Introduction
The present document is associated with a demo of the Smart Identity Proof of Concept (see annex A).
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5 ETSI TR 103 875-2 V1.1.1 (2023-03)
1 Scope
The present document demonstrates the feasibility of the Smart Identity as it is defined in ETSI TR 103 875-1 [i.1].
It defines, for a specific use case (e-health), the Smart Identity (ID) and provides an associated Proof of Concept (PoC).
2 References
2.1 Normative references
Normative references are not applicable in the present document.
2.2 Informative references
References are either specific (identified by date of publication and/or edition number or version number) or
non-specific. For specific references, only the cited version applies. For non-specific references, the latest version of the
referenced document (including any amendments) applies.
NOTE: While any hyperlinks included in this clause were valid at the time of publication ETSI cannot guarantee
their long term validity.
The following referenced documents are not necessary for the application of the present document but they assist the
user with regard to a particular subject area.
[i.1] ETSI TR 103 875-1: "User Centric Approach in Digital Ecosystem; The Smart Interface; Part 1:
Smart Identity: user digital clone".
[i.2] Workbook N°1: "Digital identities". Personal Information Values and Policies Chair.
Mines Telecom Institut.
[i.3] IEEE 802.11™: "IEEE Standard for Information Technology -- Telecommunications and
Information Exchange between Systems -- Local and Metropolitan Area Networks -- Specific
Requirements -- Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer
(PHY) Specifications".
3 Definition of terms, symbols and abbreviations
3.1 Terms
For the purposes of the present document, the following terms apply:
deep learning: type of artificial intelligence where the machine is able to learn by itself (unlike execute rules
predetermined)
3.2 Symbols
Void.
3.3 Abbreviations
For the purposes of the present document, the following abbreviations apply:
AI Artificial Intelligence
API Application Programming Interface
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6 ETSI TR 103 875-2 V1.1.1 (2023-03)
DB Database
DNA DeoxyriboNucleic Acid
IBAN International Bank Account Number
ID Identity
ML Model Language
PoC Proof of Concept
UML Unified Modeling Language
XNLI Cross-lingual Natural Language Inference
4 Smart Identity: from definition to PoC design
4.1 Identity definition
The notion of identity is complex and polysemous. A definition is available in [i.2].
It depends on the point of view to consider what an individual can be, and on the use that the Smart ID want to make of
this identity.
It is possible to identify 3 domains of identification which are cumulative:
1) Civil and legal identity
This identity traditionally and mainly consists of the following elements:
- surname, first name, gender, nationality, filiation (relationships), date and place of birth.
This identity is deemed to be stable throughout life.
2) Biological identity: Height, weight, eye color, retina, fingerprint, DNA
Some attributes of this identity can be used to formally identify a person, in addition to the civil identity.
3) Social and personal identity
It is made up of many sociological and psychological elements: place of residence, profession, standard of
living, hobbies, tastes, friends, beliefs, commitments, etc.
It is built, it evolves and is enriched during life, it is never fixed.
These are identities that can be described as objective or suffered (civil, legal, biological). But there are also subjective
and desired identities, corresponding to the way an individual decides for themselves how they intend to present
themselves to others. It is a kind of narrative identity. Social networks and the use of pseudonyms and avatars in
cyberspace are a tangible manifestation of this. It can be noted in this regard that in the digital world it is possible to
have several identities.
The Smart ID is created with:
• The attributes of the objective identity of the person.
• The available resources (equipment, services).
It considers the sequence of the user roles in space-time: objectives, activities, tasks, schedule.
It takes care of the information used to make awareness choices.
More simply, the Smart ID is thus the representation of a person:
• What the user is
• What the user has
• What the user is doing
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7 ETSI TR 103 875-2 V1.1.1 (2023-03)
• What is the user's knowledge
4.2 From Identity to User Profile
Figure 1: Relationship between Identity definition and user profile model
The "user profile" is therefore the informational representation of the user's identity (figure 1) in the digital ecosystem,
including:
• Personal information:
- Legal identity
- Identifications
- Roles (worker, patient, parent, benevolent, etc.)
• User centric characteristics that impact configurations:
Actions according to:
- Preferences
- Space-time (agenda)
- Location
• The resource description according to the location:
- Internal resources (equipment, network, services)
- External resource
...








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