1 / 19

Biometrics: Identity Verification in a Networked World

Transparent Multimodal Biometric System for HD Multimedia Conference. Biometrics: Identity Verification in a Networked World. Name: Laith Abbadi , Abbas Javadtalab. Introduction.

dreama
Download Presentation

Biometrics: Identity Verification in a Networked World

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Transparent Multimodal Biometric System for HD Multimedia Conference Biometrics: Identity Verification in a Networked World Name: LaithAbbadi, Abbas Javadtalab

  2. Introduction • Identification in electronic networks (e-Identification) is a main topic in e-world (e-commerce and e-government) [1]. • A biometric system recognizes a person based on physiological or behavioral characteristics of the person. • A multimodal biometric system is a system that combines two or more of the biometric characteristics.

  3. Purpose • The purpose of the paper is to verify the identity of a person during a video conference using a transparentmultimodal biometrics. • The paper will propose a multimodal biometric system using face and ear recognition and without the user’s interaction.

  4. Security Proposed Framework • For practical use, the framework is aiming to satisfy a set of criteria include: • (i)Ease of deployment: • A system can be deployed with few additional requirements on current infrastructure and communication protocols; • (ii) Ease of use: • Users have no difficulties using the system; • (iii) Security: • A system should address the real security concerns in verifying a person in the system. The security may not be perfect, but should be good enough to be user-friendly and business-driven

  5. Authentication Type Table 1: Classification of authentication type

  6. Identifier Groups • Knowledge Based Identifiers • Date of Birth • SIN Number • Names • Address • PIN Numbers (passwords) • Electronic Tokens • Digital tokens are the physical devices that contain digital information for verification purposes. • a. Smart Cards • b. One time Password Token • OTP Time based Token • OTP Event based Token • c. Radio frequency identifiers (RFID).

  7. Identifier Groups • Biometric Identifiers • Physiological Biometric Identifiers: • Fingerprint • Retina image • Iris • Face Recognition • Ear Recognition • Behavioral Biometric Identifiers: • Voice • Dynamic signature • Keystrokes dynamics • Note: Using behavioral identifiers alone is not a solid solution, but they work well if they used with other types of identifiers.

  8. Biometric System Table 2: Biometric Features

  9. E-identifiers Table 3: Comparison of e-identifier groups Source: [1]

  10. Biometric identifiers Table 4: Biometric Identifiers [2] Note: For Ear, research was not finished by Nov 3, 2010

  11. HD Multimedia Conference • High quality video Conferencing • Used for communicating between CEO’s and VIP’s • Video Quality:1920x1080 • x264: • Open source implementation of H.264 standard • x264 offers faster encoding

  12. Sample Results (CBR) Original 1200 Kbit/s 800 Kbit/s 100 Kbit/s

  13. Multimodal Biometric Recognition system

  14. Conference solution

  15. Conference solution

  16. Future Work • 1-  Apply face detection Algorithm • 2- Apply ear recognition Algorithm • 3-Apply voice detection • a.    Oral style (such as spelling ‘aahhh’) • 4-Mouth movement • 5-Face Expression & Emotion (ex. laughing) • 8-Ration (face with upper body) • 9-Add-ons • a.    Hand shake (haptics)

  17. Conclusion • Use of Multimodal Biometric system is more advantageous than using a mono-modal biometric system • Biometric features are unique to each person • It is feasible to have a transparent verification system using face and ear recognition

  18. Thank You

  19. References • [1] Biometric Technology Today (BTT), June (2008) Biometrics in the retail sector page 9-11 • [2] Black Cathryn, (2008) Biometric Technology Today • January 2008page 5 • [3] Clarke Roger (2007) Introduction to Information Security, February 2007 • [4] Clarke, Roger (2008), ``EDI is but one element of electronic commerce'', Roger Clarke's EC Foundation Paper http://www.anu.edu.au/people/Roger.Clarke/EC/Bled08.ht • [5] Clarke, Roger (2005) Dataveillance by Governments The Technique of Computer Matching Information Technology & People, Vol. 7 No. 2, 2005, pp. 46-85 • [6] Clarke, Roger (2009) Human Identification in Information Systems: Management Challenges and Public Policy Issues • [7] Cranor L, Cytron R. Sensus:a security-conscious electronic polling system for the Internet. Proceedings of the Hawaii International Conference on System Sciences; 2009. p. 561e70. • [8] Desmarais Norman, (2009) Body language, security and e-commerce Volume 18 . Number 1 . 2009 . pp. 61-74 • [9] Granova Anna & Eloff JHP, (2004) Online banking and identity theft: who carries the risk? Computer Fraud and Security page 7-8 • [10] Marshalla Angus M., Tompsett Brian, (2005) Identity theft in an online world Computer Law & Security Report (2008) 21, 128e137 • [11] Monrose Fabian, Rubin Aviel D. (2009) Keystroke dynamics as a biometric for authentication. Future Generation Computer Systems 16 (2009) 351-359

More Related