FIDIS
Future of Identity in the Information Society (No. 507512)
D2.3
[Final], Version: 2.0
File: fidis-wp2-del2.3.models.doc
Page 24
Such specifications include: LDAP (directory services); vCard (the digital business card);
Liberty Alliance (and Microsoft Passport); JXDM (global Justice mark-up language).
More specifically, LDAP schema includes the “identification attributes” password and user
certificate, and JXDM (used in the US) includes an attribute that is used to specify many (14)
assigned ids of a person (SSNID, TaxID, DriverLicenseID, FBIID, StateID, AFISID,
OtherID, RegisteredOffenderIndicator, FirearmSalesDisqualifiedIndicator, LicenseID,
GeneralLedgerID, PersonHumanResourcesID, PersonVendorID, PersonNationalID).
Finally, it is important to mention biometrics attributes (presented in the next section), whose
function is essentially to contribute towards identification.
3.3 Biological characteristics (biometrics, medical)
3.3.1 Description
The biological attributes represent the category that is used to represent the biological (or
physiological) characteristics of a person. The representation of the biological characteristics
can be done for several reasons such as identification, verification (access control), criminal
investigation or healthcare.
Biometrical information
The first category of attributes that have already been mentioned is related to the
identification of the person and includes all the biometrical information. The underlying
premise is that some of the biological characteristics are permanent, intimately associated to
the person, difficult to forge and unique enough so that they can be used for identification
purpose. For instance they can be used to link a person to a passport or, in the context of a
criminal investigation, to link the presence of a person to the scene of a crime.
The biometrical characteristics can vary considerably, and includes elements that are highly
visible for the human (such as a Facial Features) or need some sophisticated mechanisms to
be analysed (such as the DNA). These characteristics can either be physiological (passive),
such as iris or face recognition or behavioural (active), such as lip movement, gait or
keystroke dynamics. Within the physiological biometric methods we can distinguish between
morphological methods (such as facial features, iris, fingerprint or palm geometry) and those
being related to the senses (including voice, thermal patterns, body odour etc.). Biometric
methods and their use for identification and verification are investigated further in FIDIS
D3.2.
Physiological & medical information (patient data)
Another category of biological information is related to healthcare and includes the
physiological characteristics that can be recorded in a medical record. Examples of
biological information that can be recorder include: blood characteristics (pressure, level of
albumin, cholesterol, etc.), known disease, etc.
It is important to mention that the use of these physiological characteristics can also be
relevant outside of the medical domain, such as ability to practice a sport or to perform a job,
insurance, etc., though in some case it raises a series of questions related to privacy protection
.
FIDIS
Future of Identity in the Information Society (No. 507512)
D2.3
[Final], Version: 2.0
File: fidis-wp2-del2.3.models.doc
Page 25
3.3.2 Examples of attributes
•
Biometric
o
Physiological (or passive)
Morphology
•
Facial features
•
Fingerprint
•
Palm geometry
Senses
•
Voice
•
Body odour
•
Thermal patterns
Other
•
DNA
o
Behavioural (or active)
Gait
Lip movement
Keystroke dynamics
•
Physiological and medical
o
Physiology
Sex
Weight
Length
Strength
Biological clock (morning / evening)
o
State
Awake / asleep
o
Health characteristics
Known diseases
Vaccinations
o
Health instant state
Blood pressure
Temperature of the body
3.3.3 Application domains
The main application domains of biological characteristics are security (authentication /
verification), and healthcare.
3.3.4 Relevant standards and specifications
Biometrics
Certain standards exist that can be used to specify biometrical characteristics, especially
concerning the way processed biometric data, so called ‘templates’, are stored. The template
formats depend highly on the algorithms used to process the ‘raw’ biometric data (such as a
digital photo, in a defined digital format, of a face or iris). In some cases the algorithms are
protected by patents. These aspects are further described in FIDIS D3.2.