Security Architect & BS7799 Lead Auditor “Biometrics” Harj Singh CLAS CISSP Security Architect & BS7799 Lead Auditor harj.singh@synetrix.co.uk Nov-18 Security Seminar

What does Biometrics mean? Comes from the Greek words “Bios – life” and “Metron – to measure”. Automated methods of verifying or recognising the identity of a living person based on physiological or behavioural characteristics Nov-18 Security Seminar

Identification or Verification? There are two ways of determining if you are you… Identification Establishing a persons identity – Who are you ? One to many comparison Biometric sample presented to a system which compares it against a database of samples in the hope of finding a match Verification Involves confirming or denying a person’s claimed identity - Are you who you claim to be? One to one comparison Biometric sample captured and compared with the previously stored template for that user (Reference template) Nov-18 Security Seminar

Which Biometric? Fingerprint Hand Geometry Iris / Retina Scan Facial Scan Signature Voice Recognition Nov-18 Security Seminar

Fingerprint Variety of fingerprint devices available (silicon & optical) Template constructed by analysing patterns and/or points of interest that make up the fingerprint (minutia) Advantages Low cost Size of device and multiple choices Ease of integration Accurate – low instances of false acceptance Nov-18 Security Seminar

Hand Geometry Measures the physical characteristics of the user’s hand and fingers Low level infrared light and a camera used to capture an image Suited to applications where there is a large user base or users access the system infrequently Flexible performance tuning can accommodate a wide range of applications Disadvantages Large footprint of hand geometry devices Only used for verification Right hand use only Nov-18 Security Seminar

Iris Captures the pattern of flecks on the iris Pattern processed and encoded into 512 byte record Uses conventional cameras Average 2 seconds for identification Less intrusive than retinal scanning No physical contact between user and reader (unless very tall or very short) Disadvantages Ease of use System integration Cost Nov-18 Security Seminar

Retina Scan Unique patterns of the retina scanned by a low intensity infrared light Image constructed from de-scanned reflected light Extremely accurate Fast enrolment process Disadvantages User acceptance – intrusive technology Cost Limited to high security applications Does not perform well where user wears spectacles or has cataracts Nov-18 Security Seminar

Facial Based upon the geometric shape and position of features of the face Performs equally well on all races and both genders Resistant to changes in lighting, skin tone, facial hair, hair style, eyeglasses, expression and pose No user participation required in order to perform identification/verification Limited success in practical applications 1 – many matching Disadvantages Perceived to be invasive as covert system Nov-18 Security Seminar

2D Facial Relies on controlled lighting One photograph per facial position High failure rate Can be ‘fooled’ Nov-18 Security Seminar

3D Facial 3D technology enables the real-time capture of three-dimensional images of a subject’s face. The unique features of the subject’s cranio-facial structure are extracted and stored as a biometric template for automated human recognition. The method can be used either in identification or in verification.. Nov-18 Security Seminar

3D Facial Face Capture Reconstruction Process Uses structured light in near-infrared range A projector shoots an invisible structured light pattern onto the face The special pattern is distorted by the face’s surface geometry The video camera precisely records the pattern distortion Reconstruction Process Real-time reconstruction of the 3D facial surface The distorted pattern is input into a 3D reconstruction algorithm A 3D mesh of the face is created by means of triangulation The resulting face geometry is measurable in millimetres The 3D reconstructed image is NOT stored in the database Nov-18 Security Seminar

3D Facial Feature extraction and matching A biometric template is extracted from the 3D facial geometry (skull curvature, etc) The template is based on the unique rigid tissues of the skull which are unchanging over time The resulting numeric template is stored in an ordinary database Identification is performed by matching the biometric template against the enrolment database Verification is performed by matching the biometric template against a template stored on a smart card Nov-18 Security Seminar

3D Facial Advantages Not affected by lighting conditions, background colours, facial hair or make-up Provides higher performance at different view angles Is of higher accuracy in real-life environments Nov-18 Security Seminar

Signature Based on analysis of the dynamics of a handwritten signature e.g shape, speed, stroke order, pen pressure Generally use pressure sensitive tablets or wired pens User friendly Non intrusive – minimal public acceptance issues Captured signature can be used for digitally signing documents Disadvantages Considered to be one of the least accurate biometrics Only performs 1 – 1 verification Nov-18 Security Seminar

Voice Recognition Analyses voice patterns and characteristics of speech e.g. pitch, tone High user acceptance - perceived as least intrusive biometric technology Easy for end users to implement BUT the least secure biometric Ideal for telephone systems/ mobile environments Disadvantages:- Affected by environmental factors – background noise greatly affects system performance Problems if enrolment undertaken using mobile device then request verification from fixed land line. Nov-18 Security Seminar

Biometrics – What are the drivers? On October 26, 2001 The Providing Appropriate Tools Required to Intercept and Obstruct Terrorism Act of 2001 (the “USA Patriot Act”) was enacted. On May 14, 2002, the President signed into law H.R. 3525, the "Enhanced Border Security and Visa Entry Reform Act of 2002." Post 9/11… Nov-18 Security Seminar

H.R.3525 “The border security bill makes reforms to our immigration system in response to the increased awareness of America’s vulnerability to terrorism after 9/11. It provides for calls for vital improvements in technology to provide more timely information to help with the battle against terrorism. Among the key features: —Funds for increased border and State Department personnel and training, including 1,000new INS inspections personnel, and $150 million for INS border technology; —A report, a plan, and protections for an interoperable information-sharing system; —An interoperable information-sharing system with name-matching capacity; —Machine-readable, tamper-resistant biometric travel documents and passports; —Restriction on nonimmigrant visas for aliens from countries that sponsor terrorism; —Reform of the visa waiver program; —Requirement of passenger manifest information for commercial flights and vessels; —Repeal of the 45-minute time limit on INS inspections of arriving passengers; and —Enhanced foreign student monitoring program” Nov-18 Security Seminar

What Does this mean to the UK? By Oct 26th 2004 the UK must have introduced biometric enabled travel documents (or have in place advanced plans to do so). National Institute of Standards and Technology given lead to evaluate biometric technologies. International Civil Aviation Organisation laid down standard (9303). Nov-18 Security Seminar

ICAO 9303 ICAO 9303 requires a digitised facial image of the document holder to be securely attached to the travel document and recommends the use of a Contact-less RF Proximity Smart Card as the carrier. Governments MAY optionally also embed fingerprint and/or iris images. Nov-18 Security Seminar

What is UK Government Doing ? UKPS DVLA Home Office (ICU) Biometric Enabled Passport Book (and maybe Passport Card) in 2005. Establishing ‘Gold Identity’ Examining use of biometric in UK Driving Licence. Planning for a National Id Card (long term). ? Nov-18 Security Seminar

The Joint Contact Group Unprecedented co-operation and sharing of intelligence between the UK and the USA was agreed at a meeting on Tuesday (1st April 2003) between Home Secretary David Blunkett and US Homeland Security Secretary Tom Ridge. At the meeting, Mr Blunkett and Mr Ridge agreed the work should cover “closer working on the development of biometric technology such as iris and facial recognition.” Nov-18 Security Seminar

UK Law Enforcement Human identification is a key element in the reduction and investigation of crime and thus a key element in the provision of effective capabilities to assist the Police Service in meeting strategic objectives. Dr Fred Preston, Director of Identification, PITO Nov-18 Security Seminar

"... we will legislate this winter to upgrade our secure passport system, to create a new, clean database on which we will understand and know who is in or country, who is entitled to work, to services, to the something for something society which we value. As people renew their passports, they will receive their new identity card. The cost of biometrics and the card will be added to the total of passports." David Blunkett Labour Party Conference October 2004 Nov-18 Security Seminar

The Future Chip and Finger ? Facial recognition in cars ? Nov-18 Security Seminar

Questions Nov-18 Security Seminar