(2007) BioKey - Privacy Preserving Biometric Authentication
•
0 likes•245 views
Bio-Key provides a privacy preserving methodology for strong biometric authentication in identity management systems. The goal is to allow for multifactor authentication while keeping the raw biometric data private and under the user's control. The scheme extracts features from biometrics like images or vectors during enrollment, then stores and transmits only the extracted data, keeping the raw inputs private. Researchers from Purdue University's Computer Science and Industrial Technology departments are collaborating on improving biometric standards, assurance, and privacy preservation through this work.
Report
Share
Report
Share
Download to read offline
![239-522 - Bio-Key : Privacy Preserving Biometric Authentication - Matthew Young - IAP
Bio-Key : Privacy Preserving Biometric Authentication
E. S. Bertino1,
M. S. Elliott2, A.Bhargav-Spantzel 1, Young 2, Modi 2,A. Squicciarini 1
1Department of Computer Science, 2Department of Industrial Technology. Purdue University
Goals & Advantages:
Bio-Key Lifecycle:
• The goal is to provide a privacy preserving methodology
for strong biometric authentication in federated identity
management systems.
• Privacy Preserving Multifactor Authentication [1]:
multifactor authentication is essential for secure
authentication mechanisms. The identity management
framework is used to provide proofs of multiple strong
identifiers for a given user.
• Interoperability: Our scheme provides an interoperable,
usable, secure, and inexpensive to use biometric
authentication in a federation.
• User Control : The raw biometric never leaves the client
machine therefore providing complete control to its owner.
Bio-Key Transformation:
ID Attributes: • Sensor / Raw Image / Feature Extraction / Vector Creation
Collaboration Through CERIAS:
• Department of Computer Science
• Biometric Standards, Performance & Assurance (BSPA)
Laboratory (Department of Industrial Technology)
Reference:
[1] A. B. Spantzel, A. C. Squicciarini, E. Bertino. Establishing and
Protecting Digital Identity in Federation System. In proceedings of
ACM CCS workshop on Digital Identity Management .
239-522.pdf 1 3/5/2007 2:32:34 PM](https://image.slidesharecdn.com/2007-biokey-111225100911-phpapp02/85/2007-BioKey-Privacy-Preserving-Biometric-Authentication-1-320.jpg)
Recommended
699 703
This document summarizes a research paper on a multimodal biometric system using fingerprint and face for identification. The system uses two modalities - fingerprint and face - to achieve greater accuracy than single-feature systems. It extracts minutiae from fingerprints and uses eigenspace projection for face recognition. Matching scores from each modality are fused at the decision level to make the final identification. The system was tested on a database of 25 users, collecting multiple fingerprint and face images per user under controlled conditions. Experimental results showed the multimodal system achieved lower error rates than unimodal systems.
Case study on Usage of Biometrics (Cryptography)
This document provides an overview of biometrics and biometric authentication systems. It discusses the history of biometrics, how biometric systems work, performance considerations, different biometric modalities like fingerprints, face recognition and iris recognition. It also covers factors to consider when deciding whether to use biometric technology, different types of biometric systems, and examples of biometric implementation in areas like ATMs, law enforcement and networking. The document aims to provide a comprehensive look at biometrics and its usage.
13 biometrics - fool proof security
This document discusses keystroke biometrics as a biometric technique for user authentication. It begins with an introduction to biometrics and why it is preferable to traditional authentication methods. It then provides details on keystroke biometrics implementation, which involves analyzing the timing between keystrokes when a user types their password. The timing patterns are unique to each user and can be used to accurately identify users. The document also discusses performance measures, algorithms, and how graphing keystroke timing can be used to determine if a user is authentic or not.
Biometrics
This document presents an overview of biometric technologies. It defines biometrics as the science of measuring and analyzing biological data for authentication purposes, such as fingerprints, iris patterns, and voice. The document outlines the basic components of biometric systems including readers, software, and databases. It also categorizes biometrics as physiological (face, fingerprints, etc.) or behavioral (signature, voice). The document discusses several biometric modalities like fingerprint, face, iris and voice recognition and their uses. It covers issues around privacy, cancelable biometrics, and soft biometrics. Overall, the document provides a high-level introduction to biometrics and their applications.
Biometric authentication ppt by navin 6 feb
A good ppt on Biometric Authentication Technology.
Report file link : http://www.slideshare.net/navinec1/biometric-authentication-technique-report
term 2
This document summarizes a term paper on amalgamating biometrics and cryptography. It discusses the advantages of biometrics over passwords for authentication and introduces various biometric encryption techniques like key binding, key generation, fuzzy commitment, fuzzy vault, and cancelable biometrics. It reviews several approaches that apply these techniques to fingerprints, iris, signatures, and voice for secure key release and generation. The document outlines advantages of biometric cryptosystems and areas for future work to improve accuracy, security, and applications of biometric encryption.
Biometric Systems and Security
In the age of Biometric Security taking over the traditional security features, this is a small intro to the Biometric features one can use to enhance the security. The various modalities have been explained.
Biometrics Authentication Technology by Sayak Das
There are three main types of authentication: something you know (e.g. password), something you have (e.g. smart card), and something you are (i.e. biometrics). Biometrics are automated methods of identifying or verifying someone based on physiological characteristics like fingerprints, face, iris, veins or behavioral characteristics like signature or gait. The document then describes the biometric identification process and some examples of biometric technologies like fingerprint, face, iris, and signature recognition. It also discusses India's Aadhaar identification program which issues a unique ID number to residents based on biometric and demographic authentication.
Recommended
699 703
This document summarizes a research paper on a multimodal biometric system using fingerprint and face for identification. The system uses two modalities - fingerprint and face - to achieve greater accuracy than single-feature systems. It extracts minutiae from fingerprints and uses eigenspace projection for face recognition. Matching scores from each modality are fused at the decision level to make the final identification. The system was tested on a database of 25 users, collecting multiple fingerprint and face images per user under controlled conditions. Experimental results showed the multimodal system achieved lower error rates than unimodal systems.
Case study on Usage of Biometrics (Cryptography)
This document provides an overview of biometrics and biometric authentication systems. It discusses the history of biometrics, how biometric systems work, performance considerations, different biometric modalities like fingerprints, face recognition and iris recognition. It also covers factors to consider when deciding whether to use biometric technology, different types of biometric systems, and examples of biometric implementation in areas like ATMs, law enforcement and networking. The document aims to provide a comprehensive look at biometrics and its usage.
13 biometrics - fool proof security
This document discusses keystroke biometrics as a biometric technique for user authentication. It begins with an introduction to biometrics and why it is preferable to traditional authentication methods. It then provides details on keystroke biometrics implementation, which involves analyzing the timing between keystrokes when a user types their password. The timing patterns are unique to each user and can be used to accurately identify users. The document also discusses performance measures, algorithms, and how graphing keystroke timing can be used to determine if a user is authentic or not.
Biometrics
This document presents an overview of biometric technologies. It defines biometrics as the science of measuring and analyzing biological data for authentication purposes, such as fingerprints, iris patterns, and voice. The document outlines the basic components of biometric systems including readers, software, and databases. It also categorizes biometrics as physiological (face, fingerprints, etc.) or behavioral (signature, voice). The document discusses several biometric modalities like fingerprint, face, iris and voice recognition and their uses. It covers issues around privacy, cancelable biometrics, and soft biometrics. Overall, the document provides a high-level introduction to biometrics and their applications.
Biometric authentication ppt by navin 6 feb
A good ppt on Biometric Authentication Technology.
Report file link : http://www.slideshare.net/navinec1/biometric-authentication-technique-report
term 2
This document summarizes a term paper on amalgamating biometrics and cryptography. It discusses the advantages of biometrics over passwords for authentication and introduces various biometric encryption techniques like key binding, key generation, fuzzy commitment, fuzzy vault, and cancelable biometrics. It reviews several approaches that apply these techniques to fingerprints, iris, signatures, and voice for secure key release and generation. The document outlines advantages of biometric cryptosystems and areas for future work to improve accuracy, security, and applications of biometric encryption.
Biometric Systems and Security
In the age of Biometric Security taking over the traditional security features, this is a small intro to the Biometric features one can use to enhance the security. The various modalities have been explained.
Biometrics Authentication Technology by Sayak Das
There are three main types of authentication: something you know (e.g. password), something you have (e.g. smart card), and something you are (i.e. biometrics). Biometrics are automated methods of identifying or verifying someone based on physiological characteristics like fingerprints, face, iris, veins or behavioral characteristics like signature or gait. The document then describes the biometric identification process and some examples of biometric technologies like fingerprint, face, iris, and signature recognition. It also discusses India's Aadhaar identification program which issues a unique ID number to residents based on biometric and demographic authentication.
Biometrics Based Authentication AKASH
This document outlines a presentation on biometric authentication. It discusses authentication and its types, biometrics and why they are used, the characteristics and modes of biometric systems, different biometric techniques including fingerprint, face, iris, hand geometry and voice recognition, a comparison of techniques, applications and limitations. The working process of a biometric system including enrollment, authentication, capturing, pre-processing, feature extraction and matching is also summarized.
Biometric Template Protection With Robust Semi – Blind Watermarking Using Ima...
This paper addresses a biometric watermarking technology sturdy towards image manipulations, like JPEG compression, image filtering, and additive noise. Application scenarios include information transmission between client and server, maintaining e-database and management of signatures through insecure distribution channels. Steps involved in this work are, a) generation of binary signature code for biometric, b) embedding of the binary signature to the host image using intrinsic local property, that ensures signature protection, c) host image is then made exposed to various attacks and d) signature is extracted and matched based on an empirical threshold to verify the robustness of proposed embedding method. Embedding relies on binary signature manipulating the lower order AC coefficients of Discrete Cosine Transformed sub-blocks of host image. In the prediction phase, DC values of the nearest neighbor DCT blocks is utilized to predict the AC coefficients of centre block. Surrounding DC values of a DCT blocks are adaptively weighed for AC coefficients prediction. Linear programming is used to calculate the weights with respect to the image content. Multiple times embedding of watermark ensures robustness against common signal processing operations (filtering, enhancement, rescaling etc.) and various attacks. The proposed algorithm is tested for 50 different types of host images and public data collection, DB3, FVC2002. FAR and FRR are compared with other methods to show the improvement.
Biometric Authentication Based on Hash Iris Features
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention since its introduction in 1992. In this study, authentication system contained two parts: registration part and matching part. In both parts, iris image is used for personal identification. Localization of inner boundary only, extracted a region from the iris (without eyelashes problem), a feature vector is deduced from the texture of the image. The feature vector is used for classification of the iris texture, then it's treated by the hash function to produce the hash value (authentic value of a person). In matching part, produced hash value searched in the authorized person's database for taking a decision (success or fail) of the authentication. The method was evaluated on iris images takes from the CASIA iris image database version 1.0 [15]. The experimental results show that the vector extracted by the proposed method has very discriminating values that led to a recognition rate of over 100% on iris database. Also, authentication system is very accurate because it's used a secure method of authentication that iris-biometric and a hash function for avoiding stealing data from database.
Ins & Outs of Biometric Authentication
A brief overview of biometric authentication and the benefits it can have on your business and its overall security. Is biometric authentication something you should be looking into? Find out now...
Ubiquitous security- is it just biometrics?
Ubiquitous security has been explained and its various applications and importence including biometrics have been shown.
A study on biometric authentication techniques
This document provides an overview of biometric authentication techniques. It discusses what biometric authentication is, the different types of biometric techniques including fingerprint, face, iris, hand geometry, and voice recognition. It covers how biometric systems work, performance metrics, applications, limitations, and concludes that biometric authentication provides strong security for applications like e-commerce and e-government by utilizing unique physical and behavioral human traits.
Biometric technology
The document discusses the use of biometric authentication technologies like fingerprints for ATMs in rural India. It notes that biometric ATMs can help illiterate and barely literate rural residents access banking services by establishing their identity through biometrics rather than passwords. The document outlines some companies in India that are developing biometric solutions for ATMs, including fingerprint authentication systems. It also discusses the benefits of biometric ATMs, how biometric authentication systems work, and provides examples of different biometric technologies like fingerprint recognition and face recognition.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
The document summarizes a research paper that proposes using fragile watermarking techniques to hide additional information in fingerprint images. This helps address vulnerabilities in biometric identification systems by allowing authentication of fingerprint image integrity. The proposed framework embeds watermarks in fingerprint templates during enrollment. During verification, watermarks are extracted to authenticate templates before matching. Experimental results show watermarks can be embedded with little quality impact and no effect on matching performance. The technique helps detect if templates are tampered with by unauthorized parties.
A Study of Approaches and Measures aimed at Securing Biometric Fingerprint Te...
The need for fool proof authentication procedures away from traditional authentication mechanisms like passwords, security PINS has led to the advent of biometric authentication in information systems. Biometric data extracted from physiological features of a person including but not limited to fingerprints, palm prints, face or retina for purpose of verification & identification is saved as biometric templates. The inception of biometrics in access control systems has not been without its own hitches & like other systems it has its fair share of challenges. Biometric fingerprints being the most mature of all biometric spheres are the most widely adopted biometric authentication systems. Biometric systems effectiveness lies on how secure they are at preventing inadvertent disclosure of biometric templates in an information system‟s archive. This however has not been the case as biometric templates have been fraudulently accessed to gain unauthorized access in identification and verification systems. In order to achieve strong and secure biometric systems, biometric systems developers need to build biometric systems that properly secure biometric templates. Several biometric template protection schemes and approaches have been proposed and used to safeguard stored biometric templates. Despite there being various biometric template protection schemes and approaches in existence, none of them has provided the most authentic, reliable, efficient and deterrent means to totally secure biometric fingerprint templates. This research sought to establish status of the current biometric template protection techniques and methods by conducting a survey and analyzing data gathered from a sample of seventy-eight (78) respondents. We will report these results and give our conclusion based on findings of the survey in this paper.
biometrics and cyber security
This document discusses key considerations for protecting critical infrastructure from cybersecurity threats involving biometrics. It notes that while biometrics can strengthen security, biometric systems themselves must be secured against attacks. The document outlines vulnerabilities across different stages of biometric systems and recommends countermeasures like multi-factor authentication, flexible technology, and ongoing analysis to adapt to evolving threats. The overall message is that cybersecurity requires a holistic defense-in-depth approach when using biometrics to authenticate identity.
“Enhancing Iris Scanning Using Visual Cryptography”
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Managing PIV Card Lifecycle and Converging Physical & Logical Access Control
This document discusses managing the Personal Identity Verification (PIV) life-cycle and converging physical and logical access control systems. It explores the challenges of the PIV life-cycle from issuance through retirement. Key challenges include managing identity information across different systems, establishing administrative controls and workflows, and provisioning/de-provisioning with disparate solutions. The document also examines challenges of enabling PIV credentials to authenticate physical and logical access systems and managing authentication processes. Finally, it presents a logical PIV architecture solution to integrate identity enrollment, life-cycle management services, and physical/logical access control.
Jss academy of technical education
This document is a report on biometric sensors written by Arhind Kumar Gautam for his Information Technology department. It contains an introduction to biometric sensors, a history of biometrics, definitions of biometric terms, descriptions of different types of biometric sensors including physical (fingerprint, face recognition, retina scan) and behavioral (voice recognition, signature) biometrics. It also discusses future applications of biometrics and provides a conclusion on biometric sensors.
Biometrics
This document discusses biometrics as a form of identification and access control. It outlines that biometrics refers to human characteristics and traits that can be used for identification. Some common biometric traits discussed include fingerprints, facial recognition, iris recognition, and voice recognition. The document explains how biometric systems work by extracting a biometric sample, comparing it to templates in a database, and authenticating or identifying the user. It also covers some applications of biometrics like banking, access control, and time/attendance. Finally, advantages like increased security and reduced fraud are weighed against disadvantages such as cost and potential privacy issues.
MULTIMODAL BIOMETRIC SECURITY SYSTEM
This document proposes a multimodal biometric security system that combines fingerprint, speech, and face recognition for authentication. It discusses different biometric techniques including fingerprint, face, and speech recognition and describes the modules involved in a multimodal system, such as the sensor, feature extraction, matching, and decision making modules. Different levels of data fusion are also covered, including sensor, feature, matching score, and decision level fusion. The document concludes that a multimodal system can improve performance over unimodal systems by reducing false acceptance and rejection rates, while increasing security.
Biometricstechnology in iot and machine learning
Ravi Kumar presented on biometrics technology. The presentation discussed what biometrics is, the importance of biometrics for security and convenience, and the history of biometrics. It described various physical and behavioral biometric characteristics like fingerprints, face recognition, iris scans, and voice recognition. Applications of biometrics technology discussed included access control, time and attendance tracking, and use at airports and ATMs. Both advantages like uniqueness and accountability and disadvantages like costs and potential for false readings were covered. Emerging biometric technologies of the future may include ear shape, body odor, and DNA identification.
Bio shiv
The document is a seminar presentation on biometrics. It defines biometrics as the science of measuring and analyzing biological data, particularly for authentication purposes such as fingerprints, eye retinas, and facial patterns. It discusses how biometrics can be used for identification and verification. It also covers different categories of biometrics like fingerprints, facial recognition, iris recognition, and more. It discusses the advantages like uniqueness and disadvantages like cost. In conclusion, biometrics is widely used due to its convenience, flexibility, and stability over time.
Biometric Technology
First of all, Thank you for giving this opportunity of presenting my knowledge with you all, hope this is helpful to learn something regarding biometric technology
15. combining rational expressions castouchpad
This document provides a summary of keystrokes for combining rational expressions using a TI-Nspire calculator. It shows how to enter rational expressions of the form 1/(a+x) + 1/(b+x) and 1/(a+x) + 1/(b+x) - 1/(c+x) into the calculator by inputting the numerators and denominators separately and connecting them with addition or subtraction symbols. The goal is to demonstrate how to enter complex rational expressions into the TI-Nspire calculator to perform operations like combining fractions.
Waste Arrangements Christmas 2011
The document provides information on Dublin City Council's waste management services during the Christmas and New Year period. It outlines that household bin collections will take place as normal and provides the collection schedules. It also details the opening times of recycling centres and bring banks over the holidays as well as locations for disposing of real Christmas trees after the holidays. Residents are reminded to use their brown bins for food waste to save money and the environment.
More Related Content
What's hot
Biometrics Based Authentication AKASH
This document outlines a presentation on biometric authentication. It discusses authentication and its types, biometrics and why they are used, the characteristics and modes of biometric systems, different biometric techniques including fingerprint, face, iris, hand geometry and voice recognition, a comparison of techniques, applications and limitations. The working process of a biometric system including enrollment, authentication, capturing, pre-processing, feature extraction and matching is also summarized.
Biometric Template Protection With Robust Semi – Blind Watermarking Using Ima...
This paper addresses a biometric watermarking technology sturdy towards image manipulations, like JPEG compression, image filtering, and additive noise. Application scenarios include information transmission between client and server, maintaining e-database and management of signatures through insecure distribution channels. Steps involved in this work are, a) generation of binary signature code for biometric, b) embedding of the binary signature to the host image using intrinsic local property, that ensures signature protection, c) host image is then made exposed to various attacks and d) signature is extracted and matched based on an empirical threshold to verify the robustness of proposed embedding method. Embedding relies on binary signature manipulating the lower order AC coefficients of Discrete Cosine Transformed sub-blocks of host image. In the prediction phase, DC values of the nearest neighbor DCT blocks is utilized to predict the AC coefficients of centre block. Surrounding DC values of a DCT blocks are adaptively weighed for AC coefficients prediction. Linear programming is used to calculate the weights with respect to the image content. Multiple times embedding of watermark ensures robustness against common signal processing operations (filtering, enhancement, rescaling etc.) and various attacks. The proposed algorithm is tested for 50 different types of host images and public data collection, DB3, FVC2002. FAR and FRR are compared with other methods to show the improvement.
Biometric Authentication Based on Hash Iris Features
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention since its introduction in 1992. In this study, authentication system contained two parts: registration part and matching part. In both parts, iris image is used for personal identification. Localization of inner boundary only, extracted a region from the iris (without eyelashes problem), a feature vector is deduced from the texture of the image. The feature vector is used for classification of the iris texture, then it's treated by the hash function to produce the hash value (authentic value of a person). In matching part, produced hash value searched in the authorized person's database for taking a decision (success or fail) of the authentication. The method was evaluated on iris images takes from the CASIA iris image database version 1.0 [15]. The experimental results show that the vector extracted by the proposed method has very discriminating values that led to a recognition rate of over 100% on iris database. Also, authentication system is very accurate because it's used a secure method of authentication that iris-biometric and a hash function for avoiding stealing data from database.
Ins & Outs of Biometric Authentication
A brief overview of biometric authentication and the benefits it can have on your business and its overall security. Is biometric authentication something you should be looking into? Find out now...
Ubiquitous security- is it just biometrics?
Ubiquitous security has been explained and its various applications and importence including biometrics have been shown.
A study on biometric authentication techniques
This document provides an overview of biometric authentication techniques. It discusses what biometric authentication is, the different types of biometric techniques including fingerprint, face, iris, hand geometry, and voice recognition. It covers how biometric systems work, performance metrics, applications, limitations, and concludes that biometric authentication provides strong security for applications like e-commerce and e-government by utilizing unique physical and behavioral human traits.
Biometric technology
The document discusses the use of biometric authentication technologies like fingerprints for ATMs in rural India. It notes that biometric ATMs can help illiterate and barely literate rural residents access banking services by establishing their identity through biometrics rather than passwords. The document outlines some companies in India that are developing biometric solutions for ATMs, including fingerprint authentication systems. It also discusses the benefits of biometric ATMs, how biometric authentication systems work, and provides examples of different biometric technologies like fingerprint recognition and face recognition.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
The document summarizes a research paper that proposes using fragile watermarking techniques to hide additional information in fingerprint images. This helps address vulnerabilities in biometric identification systems by allowing authentication of fingerprint image integrity. The proposed framework embeds watermarks in fingerprint templates during enrollment. During verification, watermarks are extracted to authenticate templates before matching. Experimental results show watermarks can be embedded with little quality impact and no effect on matching performance. The technique helps detect if templates are tampered with by unauthorized parties.
A Study of Approaches and Measures aimed at Securing Biometric Fingerprint Te...
The need for fool proof authentication procedures away from traditional authentication mechanisms like passwords, security PINS has led to the advent of biometric authentication in information systems. Biometric data extracted from physiological features of a person including but not limited to fingerprints, palm prints, face or retina for purpose of verification & identification is saved as biometric templates. The inception of biometrics in access control systems has not been without its own hitches & like other systems it has its fair share of challenges. Biometric fingerprints being the most mature of all biometric spheres are the most widely adopted biometric authentication systems. Biometric systems effectiveness lies on how secure they are at preventing inadvertent disclosure of biometric templates in an information system‟s archive. This however has not been the case as biometric templates have been fraudulently accessed to gain unauthorized access in identification and verification systems. In order to achieve strong and secure biometric systems, biometric systems developers need to build biometric systems that properly secure biometric templates. Several biometric template protection schemes and approaches have been proposed and used to safeguard stored biometric templates. Despite there being various biometric template protection schemes and approaches in existence, none of them has provided the most authentic, reliable, efficient and deterrent means to totally secure biometric fingerprint templates. This research sought to establish status of the current biometric template protection techniques and methods by conducting a survey and analyzing data gathered from a sample of seventy-eight (78) respondents. We will report these results and give our conclusion based on findings of the survey in this paper.
biometrics and cyber security
This document discusses key considerations for protecting critical infrastructure from cybersecurity threats involving biometrics. It notes that while biometrics can strengthen security, biometric systems themselves must be secured against attacks. The document outlines vulnerabilities across different stages of biometric systems and recommends countermeasures like multi-factor authentication, flexible technology, and ongoing analysis to adapt to evolving threats. The overall message is that cybersecurity requires a holistic defense-in-depth approach when using biometrics to authenticate identity.
“Enhancing Iris Scanning Using Visual Cryptography”
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Managing PIV Card Lifecycle and Converging Physical & Logical Access Control
This document discusses managing the Personal Identity Verification (PIV) life-cycle and converging physical and logical access control systems. It explores the challenges of the PIV life-cycle from issuance through retirement. Key challenges include managing identity information across different systems, establishing administrative controls and workflows, and provisioning/de-provisioning with disparate solutions. The document also examines challenges of enabling PIV credentials to authenticate physical and logical access systems and managing authentication processes. Finally, it presents a logical PIV architecture solution to integrate identity enrollment, life-cycle management services, and physical/logical access control.
Jss academy of technical education
This document is a report on biometric sensors written by Arhind Kumar Gautam for his Information Technology department. It contains an introduction to biometric sensors, a history of biometrics, definitions of biometric terms, descriptions of different types of biometric sensors including physical (fingerprint, face recognition, retina scan) and behavioral (voice recognition, signature) biometrics. It also discusses future applications of biometrics and provides a conclusion on biometric sensors.
Biometrics
This document discusses biometrics as a form of identification and access control. It outlines that biometrics refers to human characteristics and traits that can be used for identification. Some common biometric traits discussed include fingerprints, facial recognition, iris recognition, and voice recognition. The document explains how biometric systems work by extracting a biometric sample, comparing it to templates in a database, and authenticating or identifying the user. It also covers some applications of biometrics like banking, access control, and time/attendance. Finally, advantages like increased security and reduced fraud are weighed against disadvantages such as cost and potential privacy issues.
MULTIMODAL BIOMETRIC SECURITY SYSTEM
This document proposes a multimodal biometric security system that combines fingerprint, speech, and face recognition for authentication. It discusses different biometric techniques including fingerprint, face, and speech recognition and describes the modules involved in a multimodal system, such as the sensor, feature extraction, matching, and decision making modules. Different levels of data fusion are also covered, including sensor, feature, matching score, and decision level fusion. The document concludes that a multimodal system can improve performance over unimodal systems by reducing false acceptance and rejection rates, while increasing security.
Biometricstechnology in iot and machine learning
Ravi Kumar presented on biometrics technology. The presentation discussed what biometrics is, the importance of biometrics for security and convenience, and the history of biometrics. It described various physical and behavioral biometric characteristics like fingerprints, face recognition, iris scans, and voice recognition. Applications of biometrics technology discussed included access control, time and attendance tracking, and use at airports and ATMs. Both advantages like uniqueness and accountability and disadvantages like costs and potential for false readings were covered. Emerging biometric technologies of the future may include ear shape, body odor, and DNA identification.
Bio shiv
The document is a seminar presentation on biometrics. It defines biometrics as the science of measuring and analyzing biological data, particularly for authentication purposes such as fingerprints, eye retinas, and facial patterns. It discusses how biometrics can be used for identification and verification. It also covers different categories of biometrics like fingerprints, facial recognition, iris recognition, and more. It discusses the advantages like uniqueness and disadvantages like cost. In conclusion, biometrics is widely used due to its convenience, flexibility, and stability over time.
Biometric Technology
First of all, Thank you for giving this opportunity of presenting my knowledge with you all, hope this is helpful to learn something regarding biometric technology
What's hot (18)
Biometric Template Protection With Robust Semi – Blind Watermarking Using Ima...
Biometric Template Protection With Robust Semi – Blind Watermarking Using Ima...
Biometric Authentication Based on Hash Iris Features
Biometric Authentication Based on Hash Iris Features
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
A Study of Approaches and Measures aimed at Securing Biometric Fingerprint Te...
A Study of Approaches and Measures aimed at Securing Biometric Fingerprint Te...
“Enhancing Iris Scanning Using Visual Cryptography”
“Enhancing Iris Scanning Using Visual Cryptography”
Managing PIV Card Lifecycle and Converging Physical & Logical Access Control
Managing PIV Card Lifecycle and Converging Physical & Logical Access Control
Viewers also liked
15. combining rational expressions castouchpad
This document provides a summary of keystrokes for combining rational expressions using a TI-Nspire calculator. It shows how to enter rational expressions of the form 1/(a+x) + 1/(b+x) and 1/(a+x) + 1/(b+x) - 1/(c+x) into the calculator by inputting the numerators and denominators separately and connecting them with addition or subtraction symbols. The goal is to demonstrate how to enter complex rational expressions into the TI-Nspire calculator to perform operations like combining fractions.
Waste Arrangements Christmas 2011
The document provides information on Dublin City Council's waste management services during the Christmas and New Year period. It outlines that household bin collections will take place as normal and provides the collection schedules. It also details the opening times of recycling centres and bring banks over the holidays as well as locations for disposing of real Christmas trees after the holidays. Residents are reminded to use their brown bins for food waste to save money and the environment.
Quantificação e correlação entre incidência de gols e potência muscular (acbf...
1) O estudo quantificou a potência muscular e correlacionou com o desempenho técnico-tático de uma equipe de futsal.
2) A equipe marcou em média 12,7 gols por jogo, sendo que 59,2% foram nos últimos 10 minutos. Eles sofreram 12,3 gols em média, sendo que 68,9% foram nos últimos 10 minutos.
3) Não houve correlação significativa entre a potência muscular e a incidência de gols marcados ou sofridos pela equipe.
Presup caico2012
Este documento presenta el presupuesto del Centro de Alumnos de Ingeniería Civil (CAICO) para el año 2012, detallando los gastos por concepto en diferentes áreas como biblioteca, extensión cultural, acción social, deportes, comunicaciones, entre otros, ascendiendo el presupuesto total a $11.232.782.
Pilgrimage to makkah
Pilgrims perform several rites during the Hajj pilgrimage to Makkah, including circling the Kaaba seven times and walking between the hills of Safa and Marwa seven times, replicating the search for water by Hagar. They then stand together in Arafa and pray to God for forgiveness and wishes, seen as a preview of Judgment Day. The Hajj concludes with the Eid al-Adha festival marked by prayers, along with Eid al-Fitr celebrating Ramadan, being the two most important annual festivals in the Muslim calendar.
Natal leah 01
This document contains a single name - Leah MorMac. It does not provide any other details about the person such as their background, occupation, or other identifying information. In just one name, this document conveys very little substantive information that could be summarized further in only a few sentences.
Auguri da - Seasons Greetings from ANTOITALIA
ANTOITALIA augura a tutti Buone Natale e Felice 2012!
ANTOITALIA wishes you a Merry Christmas and a Happy 2012!
Seguici su / Follow us
www.facebook.com/antoitalia
www.twitter.com/lantello
www.linkedin.com/company/antoitalia
www.slideshare.net/lantel
www.scribd.com/antoitalia
www.antoitalia.it
"...Court orders service by email..."
The Federal Court found that a blogger had been served with court documents when he was emailed originating process by the applicants in a trade mark infringement case.
CV Alisson P.O.
O documento resume o currículo de Alisson Paulo de Oliveira, engenheiro metalúrgico com experiência em desenvolvimento de produtos e processos siderúrgicos. Ele possui mestrado em engenharia metalúrgica e especializações em gestão de negócios e projetos. Atualmente trabalha na Gerdau na pesquisa e desenvolvimento de produtos planos.
60 anos de FGV-EAESP
A história da escola é dividida por décadas, desde a década de 1950 até a década de 2000. O documento descreve eventos importantes em cada década, como a formação das primeiras turmas, parcerias com outras universidades e homenagens a professores e diretores importantes.
Educação -joão_ubaldo._-_pps
O texto argumenta que os problemas do Brasil não estão nos políticos, mas sim no povo brasileiro, que precisa mudar seus hábitos de desonestidade, falta de respeito às leis e valorização da "espertice". O autor afirma que nenhum político poderá melhorar o país enquanto o povo não mudar e passar a valorizar a honestidade, família e respeito aos outros.
Viewers also liked (20)
Quantificação e correlação entre incidência de gols e potência muscular (acbf...
Quantificação e correlação entre incidência de gols e potência muscular (acbf...
Similar to (2007) BioKey - Privacy Preserving Biometric Authentication
(2007) Privacy Preserving Multi-Factor Authentication with Biometrics
(2007) Privacy Preserving Multi-Factor Authentication with BiometricsInternational Center for Biometric Research
An emerging approach to the problem of identity theft is represented by
the adoption of biometric authentication systems. Such systems however present
several challenges, related to privacy, reliability and security of the biometric data.
Inter-operability is also required among the devices used for authentication. Moreover,
very often biometric authentication in itself is not sufficient as a conclusive
proof of identity and has to be complemented with multiple other proofs of identity
such as passwords, SSN, or other user identifiers. Multi-factor authentication mechanisms
are thus required to enforce strong authentication based on the biometric
and identifiers of other nature.
In this paper we propose a two-phase authentication mechanism for federated
identity management systems. The first phase consists of a two-factor biometric
authentication based on zero knowledge proofs. We employ techniques from the
vector-space model to generate cryptographic biometric keys. These keys are kept
secret, thus preserving the confidentiality of the biometric data, and at the same
time exploit the advantages of biometric authentication. The second phase combines
several authentication factors in conjunction with the biometric to provide a
strong authentication. A key advantage of our approach is that any unanticipated
combination of factors can be used. Such authentication system leverages the information
of the user that are available from the federated identity management
system.BSI Biometrics Standards Brochure
BSI Biometrics Standards Brochure.
Standards for the automated recognition
of individuals based on their behavioural
and biological characteristics
View BSI’s brochure about biometric standards, and get an overview of biometrics and identity management, and standards development for biometrics.
Feature Level Fusion of Multibiometric Cryptosystem in Distributed System
ABSTRACT: Multibiometrics is the combination of one or more biometrics (e.g., Fingerprint, Iris, and Face). Researchers
are focusing on how to provide security to the system, the template which was generated from the biometric need to be
protected. The problems of unimodal biometrics are solved by multibiometrics. The main objective is to provide a security to
the biometric template by generating a secure sketch by making use of multibiometric cryptosystem and which is stored in a
database. Once the biometric template is stolen it becomes a serious issue for the security of the system and also for user
privacy. In the existing approach, feature level fusion is used to combine the features securely with well-known biometric
cryptosystems namely fuzzy vault and fuzzy commitment. The drawbacks of existing system include accuracy of the biometric
need to be improved and the noises in the biometrics also need to be reduced. The proposed work is to enhance the security
using multibiometric cryptosystem in distributed system applications like e-commerce transactions, e-banking and ATM.
Keywords: Biometric Cryptosystem, Error correcting code, Fingerprint, Iris, Multibiometrics, Unimodal biometrics.
bioChec Overview
Keystroke biometrics analyzes typing patterns to identify individuals. It is a behavioral biometric that does not require specialized hardware. bioChec provides a patented keystroke biometric software engine called bioChecKey that can integrate into various applications. It also offers online and SaaS solutions like bioChec Online! that can enhance security for websites and intranets. bioChec's solutions are minimally invasive and easily deployable for large user bases.
Face Recognition Technology
Face recognition technology uses physiological biometrics to uniquely identify individuals based on measurements and data derived from their faces. It works by enrolling users through facial image capture and template generation, then performing matching of live facial images against stored templates for identification or verification. While fast and convenient, face recognition has limitations in accuracy depending on lighting, facial expressions, and angle of capture. It has applications in security, law enforcement, and commercial identity verification.
Biometrics security
This document discusses biometric security and its advantages over traditional password and PIN-based security methods. Biometrics provide increased security through unique physiological traits that cannot be easily guessed, shared, or stolen like passwords. Biometrics also increase convenience by eliminating the need to remember multiple passwords. Additionally, biometrics improve accountability by verifying user identity and activities more accurately than traditional methods. The document explores various biometric factors and how biometric systems work to authenticate users securely.
Enhancing Security and Efficiency The Power of Biometric Access Control Systems
Enhancing Security and Efficiency The Power of Biometric Access Control SystemsStar Link Communication Pvt Ltd
Biometric access control systems represent a paradigm shift in how organizations approach security. As technology continues to evolve, these systems will play a pivotal role in creating safer, more efficient, and seamlessly controlled environments, ultimately setting new standards for access control in the modern era.Privacypreservingauthenticationbiometrics 100228075830-phpapp02
This document proposes a two-phase privacy-preserving multi-factor authentication mechanism for federated identity management systems using biometrics. The first phase uses zero-knowledge proofs to perform two-factor authentication based on cryptographic biometric keys generated from biometric data using vector space modeling, preserving the privacy of biometric data. The second phase combines multiple authentication factors, including the biometric, using aggregate zero-knowledge proofs to strongly authenticate users while minimizing disclosure of private information.
Fingerprint Attendance project final PPT
Fingerprint Attendance project final PPT
The code available in GitHub
https://github.com/virtualheart/ZK-Teco-JAVA
(MS Office 2019 or above)
ISSA Web Conference - Biometric Information Security Management
The document discusses biometric security standards for managing biometric information. It compares two standards: X9.84 and ISO 19092. X9.84 is more comprehensive, including an ASN.1 schema, security event journal, and use cases. ISO 19092 extends X9.84 internationally but omitted some technical content. The document also provides tutorials on biometric technologies, compliance checklists, extending templates with security attributes, and a proposed biometric security management layer.
Privacy Preserving Biometrics-Based and User Centric Authentication Protocol
This document summarizes a research presentation on privacy-preserving biometrics-based authentication. It outlines the challenges with traditional biometrics schemes, including security and privacy concerns when biometric templates and identifiers are stored. The proposed approach generates unique, repeatable and revocable biometric identifiers (BIDs) using image hashing, classification and error correction. It also describes a user-centric, privacy-preserving authentication protocol using these BIDs and zero-knowledge proofs to authenticate users without revealing sensitive biometric data. Performance analysis shows the approach can generate commitments and run the authentication protocol efficiently. The work aims to address privacy and security issues while enabling convenient biometric authentication.
Biometric encryption
Biometric encryption is a technique that securely binds a cryptographic key to a biometric template. During enrollment, a random key is linked to a user's biometric template using a binding algorithm. During verification, applying the same biometric will regenerate the key through a retrieval algorithm. This allows authentication while preventing storage of the actual biometric data. Biometric encryption offers advantages like improved security, ability to revoke compromised keys, and privacy by not retaining biometric images.
Biometric Systems
This document summarizes a presentation on biometric systems. It begins by defining biometric systems as automated methods of identifying individuals based on physiological or behavioral characteristics. It then outlines the objectives of exploring biometric applications in management. It discusses types of biometrics like fingerprints and facial recognition. It explains how biometric systems work by enrolling reference templates and comparing them to new samples. It also covers benefits of biometric systems like security, convenience and accountability. Risks are discussed along with recommendations to ensure security of biometric data. The document concludes by noting biometric systems require careful risk analysis and implementation based on the environment.
A secure Crypto-biometric verification protocol
This document describes blind authentication, a secure crypto-biometric verification protocol. It discusses privacy concerns with traditional biometric systems and introduces blind authentication as a way to conduct biometric verification without revealing biometric samples or classifier details. The key features of blind authentication are described, including how enrollment and authentication work based on homomorphic encryption. Experimental results demonstrate the efficiency and accuracy of the proposed approach.
I017335457
The document summarizes a proposed method for enhancing iris scanning security using visual cryptography. It begins with an abstract describing iris scanning biometrics and the issue of securely storing templates in a database. It then proposes using visual cryptography to divide scanned iris images into shares that are stored instead of the original template. The document provides background on iris scanning and visual cryptography. It describes the proposed system architecture which uses visual cryptography to generate two shares from the iris template during enrollment - one stored in the database and one kept privately. During authentication, the iris is rescanned and compared to the stored share template for verification. Future work could extend this approach to work with color iris images. The visual cryptography method is concluded to generate meaningful shares for more secure and
Biometric security using cryptography
This document discusses biometrics and biometric encryption. It begins with an introduction to biometrics and biometric principles and standards. It then discusses different methods to securely store cryptographic keys using biometrics, including biometric encryption. The document compares userID-based keys to biometric-based keys. It also covers advantages and threats of biometric systems, as well applications of biometric systems. In conclusion, the document provides an overview of biometrics and biometric encryption.
Zahid Akhtar - Ph.D. Defense Slides
This PhD thesis by Zahid Akhtar examines the security of multimodal biometric systems against spoof attacks. It aims to evaluate the robustness of these systems to real spoof attacks, validate assumptions about the "worst-case" spoofing scenario, and develop methods to assess security without fabricating fake traits. Experiments are conducted on systems using face and fingerprint biometrics under various spoof attacks, and results show multimodal systems can be compromised by attacking a single trait, while the worst-case scenario does not always reflect real attacks.
Biometrics
This slideshow is about biometrics. I covered the examples and also its whole functioning as well the cryptography used in the biometric system. The Advantages and disadvantages as well.
Implementation of Multimodal Biometrics Systems in Handling Security of Mobil...
The use of mobile applications nowadays has been implemented in various fields. Especially in online transactions via smartphone devices, business people have decreased quite a lot because they provide benefits in transactions. Through the mobile application, businesses can process transactions anywhere and anytime. One security aspect regarding authentication is an important concern for consumer who use mobile devices. So far, most of the authentication is done by only using password security, but the level of security is still quite easy to bypass the security. A better level of authentication can be done by utilizing biometric technology into the application security system. Several studies that have been conducted still use unimodal biometric systems to provide good authentication guarantees. This investigation is carried out by research that can improve the authentication of the existing models by applying multimodal biometric authentication based on voice and face images. In voice biometric authentication, the method of MFCC Mel Frequency Cepstrum Coefficients and DTW Dynamic Time Warping will be used, while facial authentication will apply the PCA Principle Component Analysis method. The results obtained show that the user authentication success rate reaches 90 . Therefore, biometric multimodal security can begin to be used for security systems in electronic transactions via smartphone devices. Gusti Made Arya Sasmita | I Putu Arya Dharmaadi "Implementation of Multimodal Biometrics Systems in Handling Security of Mobile Application Based on Voice and Face Biometrics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49289.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/49289/implementation-of-multimodal-biometrics-systems-in-handling-security-of-mobile-application-based-on-voice-and-face-biometrics/gusti-made-arya-sasmita
Cloud Computing security Challenges for Defense Forces
This presentation was made at "Cyber Security India Conference" held at New Delhi on 01-02 Nov 2011
Similar to (2007) BioKey - Privacy Preserving Biometric Authentication (20)
(2007) Privacy Preserving Multi-Factor Authentication with Biometrics
(2007) Privacy Preserving Multi-Factor Authentication with Biometrics
Feature Level Fusion of Multibiometric Cryptosystem in Distributed System
Feature Level Fusion of Multibiometric Cryptosystem in Distributed System
Enhancing Security and Efficiency The Power of Biometric Access Control Systems
Enhancing Security and Efficiency The Power of Biometric Access Control Systems
Privacypreservingauthenticationbiometrics 100228075830-phpapp02
Privacypreservingauthenticationbiometrics 100228075830-phpapp02
ISSA Web Conference - Biometric Information Security Management
ISSA Web Conference - Biometric Information Security Management
Privacy Preserving Biometrics-Based and User Centric Authentication Protocol
Privacy Preserving Biometrics-Based and User Centric Authentication Protocol
Implementation of Multimodal Biometrics Systems in Handling Security of Mobil...
Implementation of Multimodal Biometrics Systems in Handling Security of Mobil...
Cloud Computing security Challenges for Defense Forces
Cloud Computing security Challenges for Defense Forces
More from International Center for Biometric Research
HBSI Automation Using the Kinect
This research focused on classifying Human-Biometric Sensor Interaction errors in real-time. The Kinect 2 was used as a measuring device to track the position and movements of the subject through a simulated border control environment. Knowing, in detail, the state of the subject ensures that the human element of the HBSI model is analyzed accurately. A network connection was established with the iris device to know the state of the sensor and biometric system elements of the model. Information such as detection rate, extraction rate, quality, capture type, and more metrics was available for use in classifying HBSI errors. A Federal Inspection Station (FIS) booth was constructed to simulate a U.S. border control setting in an International airport. The subjects were taken through the process of capturing iris and fingerprint samples in an immigration setting. If errors occurred, the Kinect 2 program would classify the error and saved these for further analysis.
IT 34500
IT 34500 is an undergraduate course offered to Purdue West Lafayette students. The course gives an introduction into biometrics and automatic identification and data capture technologies
An Investigation into Biometric Signature Capture Device Performance and User...
An Investigation into Biometric Signature Capture Device Performance and User...International Center for Biometric Research
The human signature provides a natural and publically-accepted legally-admissible method for providing authentication to a process. Automatic biometric signature systems assess both the drawn image and the temporal aspects of signature construction, providing enhanced verification rates over and above conventional outcome assessment. To enable the capture of these constructional data requires the use of specialist ‘tablet’ devices. In this paper we explore the enrolment performance using a range of common signature capture devices and investigate the reasons behind user preference. The results show that writing feedback and familiarity with conventional ‘paper and pen’ donation configurations are the primary motivation for user preference. These results inform the choice of signature device from both technical performance and user acceptance viewpoints.Entropy of Fingerprints
The inherent differences between secret-based authentication (such as passwords and PINs) and biometric authentication have left gaps in the credibility of biometrics. These gaps are due, in large part, to the inability to adequately cross-compare the two types of authentication. This paper provides a comparison between the two types of authentication by equating biometric entropy in the same way entropy of secrets are represented. Similar to the method used by Ratha, Connell, and Bolle [1], the x and y dimensions of the fingerprints were examined to determine all possible locations of minutiae. These locations were then examined based on the observed probability of minutiae occurring in each of the designated locations. The results of this work show statistically significant differences in the frequencies and probabilities of occurrence for minutiae location, type, and angle, across all possible minutiae locations. These components were applied to Shannon’s Information Theory [2] to determine the entropy of fingerprint biometrics, which was estimated to be equivalent to an 8.3-character, randomly chosen password
Biometric and usability
This course covers biometric usability testing with a focus on border control and mobile devices. The course objectives are to understand biometric systems, how people use them, testing methodologies, limitations, and research methods. Topics include genuine users, usability, attacks, border security, tokens, qualitative/quantitative research, and focus groups. Students will complete a research-based group project, assignments, and quizzes. The course uses lectures, discussions, guest speakers and students are expected to regularly attend and complete all work.
Examining Intra-Visit Iris Stability - Visit 4
This document examines the stability of iris recognition over short periods of time. It analyzes iris scan data from 60 participants in a single visit lasting 10 minutes or less. The stability of each iris is measured using a stability score index. Statistical analysis finds no significant difference in stability scores between age groups, gender, or ethnicity. This suggests the iris remains stable within a single visit. Future work could examine stability over longer time periods and whether it decreases with more extended testing.
Examining Intra-Visit Iris Stability - Visit 6
In this research, intra-visit match score stability was examined for the human iris. Scores were found to be statistically stable in this short time frame.
Examining Intra-Visit Iris Stability - Visit 2
In this research, intra-visit match score stability was examined for the human iris. Scores were found to be statistically stable in this short time frame.
Examining Intra-Visit Iris Stability - Visit 1
In this research, intra-visit match score stability was examined for the human iris. Scores were found to be statistically stable in this short time frame.
Examining Intra-Visit Iris Stability - Visit 3
In this research, intra-visit match score stability was examined for the human iris. Scores were found to be statistically stable in this short time frame.
Best Practices in Reporting Time Duration in Biometrics
A lot of work done in Center recently has focused around different topics concerning "time". Iris stability across different "times" has been in the forefront due to work in the undergraduate class, IT345, the graduate class IT545, as well as work in Ben Petry's thesis. Of course "time" is a fairly inaccurate word to use. Assessing stability over time is very ambiguous to the research question. For example time may mean millisecond, months, years, or even life of the user. Upon further examination of other academic literature, the reporting of research duration, collection interval, and specific time frame of interest are sporadic at best and missing completely at worst. To solve this issue, the Center has created the biometric duration scale (BDS) model with associated suggested best practices for reporting time duration in biometrics.
The BDS model marries the general biometric model with HBSI model to create a logical flow of five phases: the presentation definition phase, sample phase, processing phase, and enrollment or matching phase. By tracking information through this progression such as specific subject presentations made, HBSI error, and FTE/Enrollment score (to name a few), performance within the general biometric model can be examined. The BDS model goes one step further by creating specific durations to report research specific metrics. By creating this model, outcomes that effect a yearly performance metrics can be looked at by examining monthly performance, daily performance, or even specific user presentations and how those subcomponents effect the whole system.
Additionally, best practices for the reporting of duration is also included. The reporting methodology stems from ISO 8601 and is in compliance with ISO 21920. In the common reporting structure, start date, duration, number of visits at how many intervals, and time scope of interest for the specific research are given in a logical, readily available format along with the very specific, detailed ISO 8601 methodology. The goal of creating a formal script for reporting research duration was to eliminate ambiguity and create an environment where replication and drawing parallels between research is encouraged.
Examining Intra-Visit Iris Stability - Visit 5
The document examines the stability of iris recognition over a short period of time. It discusses how iris recognition works and why the iris is considered unique and stable over time. The research presented in the document analyzed iris image data collected over four weekly visits. The results showed no statistically significant difference in iris matching scores between the different visits, suggesting the iris is stable over a short time period. This supports the idea that the iris can be used for biometric identification applications that require stability over time.
Standards and Academia
ICBR has been involved in standards development for over 14 years through committees like INCITS M1 and ISO/IEC JTC1 SC37. To provide students real-world experience, students participated on these committees by submitting documents, comments, and reviews. This engagement between academia and standards development benefits both fields by allowing applied research and education in new and emerging technical areas.
Interoperability and the Stability Score Index
The stability score index, conceptualized in 2013, was designed to address the weaknesses of the zoo menagerie and other performance metrics by quantifying the relative stability of a user from on condition to another. In this paper, the measure of interoperability is the stability score from enrolling on one sensor and verifying on multiple sensors. The results showed that like performance, individual performance were not stable across these sensors. When examining stability by sensor family (capacitance, optical and thermal) we find that capacitive as the enrollment sensor were the least stable. Both enrolling and verifying on a thermal sensor, individuals were the most stable of the three family types. With respect to interaction type, enrolling on touch and verifying on swipe was more stable than enrolling on swipe and verifying on swipe, which was an interesting finding. Individuals using the thermal sensor generated the most stable stability scores.
Advances in testing and evaluation using Human-Biometric sensor interaction m...
Advances in testing and evaluation using Human-Biometric sensor interaction m...International Center for Biometric Research
This document discusses advances in testing and evaluating human-biometric sensor interaction using a new model. It describes gaps in traditional biometric testing, such as how users interact with systems. A new Human Biometric Sensor Interaction model is presented and has been tested on iris and fingerprint biometrics. The model has been expanded to more complex systems like border gates. Testing looks at how users interact with biometric systems in different environments and factors like throughput. The goal is to better test and evaluate systems without overburdening test facilities.Cerias talk on testing and evaluation
This document discusses biometric testing and evaluation. It covers traditional biometric algorithm testing and more complex operational testing. There are gaps in areas like training, accessibility, human factors, and determining what causes errors. Filling these gaps is an ongoing work in progress as biometric devices become more complex and deployed in more environments and applications. Different types of testing include technology, scenario, and operational evaluations to adequately assess performance and usability.
IT 54500 overview
This course provides an overview of biometric technology as it relates to security, access control, and authentication. It examines basic biometric terminology and various biometric modalities such as fingerprint, face, and iris recognition. Students will learn about biometric data evaluation and interpretation, standards, integration, and challenges. The course is divided into fundamental, modality, integration, and research building blocks to cover topics like identification, matching, fusion, standards, and interoperability.
Ben thesis slideshow
This document outlines the structure and goals of a research study on the stability of iris recognition match scores over time. It introduces the problem statement around the lack of quantification of match score stability, and previews the research question, significance, purpose and scope, assumptions, limitations, and delimitations that will be discussed in the following chapters which focus on the literature review, methodology, results, and conclusions of the study.
(2010) Fingerprint recognition performance evaluation for mobile ID applications
(2010) Fingerprint recognition performance evaluation for mobile ID applicationsInternational Center for Biometric Research
According to a report by Frost and Sullivan in 2007, revenues for non-AFIS fingerprint devices in notebook PC's and wireless devices is anticipated to grow from $148.5 million to $1588.0 million by 2014, a compound annual growth rate of 40.3% [1]. The AFIS market has a compound annual growth rate of 15.2% with revenues of $445.0 million in 2007. With the development of mobile applications in a number of different market segments, such as healthcare, retail, and law enforcement, this paper analyzed the performance of fingerprints of different sizes, from different sensors...ICBR Databases
This is a preview of the databases we use in the Center. The presentation overviews our data collection GUI, data storage (datawarehouse), and our project management database. Each of these databases work together to allow us to efficiently run our operations.
More from International Center for Biometric Research (20)
An Investigation into Biometric Signature Capture Device Performance and User...
An Investigation into Biometric Signature Capture Device Performance and User...
Best Practices in Reporting Time Duration in Biometrics
Best Practices in Reporting Time Duration in Biometrics
Advances in testing and evaluation using Human-Biometric sensor interaction m...
Advances in testing and evaluation using Human-Biometric sensor interaction m...
(2010) Fingerprint recognition performance evaluation for mobile ID applications
(2010) Fingerprint recognition performance evaluation for mobile ID applications
Recently uploaded
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...Pitangent Analytics & Technology Solutions Pvt. Ltd
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
AppSec PNW: Android and iOS Application Security with MobSF
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Tomaz Bratanic
Graph ML and GenAI Expert - Neo4j
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Recently uploaded (20)
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
9 CEO's who hit $100m ARR Share Their Top Growth Tactics Nathan Latka, Founde...
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
AppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSF
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
(2007) BioKey - Privacy Preserving Biometric Authentication
- 1. 239-522 - Bio-Key : Privacy Preserving Biometric Authentication - Matthew Young - IAP Bio-Key : Privacy Preserving Biometric Authentication E. S. Bertino1, M. S. Elliott2, A.Bhargav-Spantzel 1, Young 2, Modi 2,A. Squicciarini 1 1Department of Computer Science, 2Department of Industrial Technology. Purdue University Goals & Advantages: Bio-Key Lifecycle: • The goal is to provide a privacy preserving methodology for strong biometric authentication in federated identity management systems. • Privacy Preserving Multifactor Authentication [1]: multifactor authentication is essential for secure authentication mechanisms. The identity management framework is used to provide proofs of multiple strong identifiers for a given user. • Interoperability: Our scheme provides an interoperable, usable, secure, and inexpensive to use biometric authentication in a federation. • User Control : The raw biometric never leaves the client machine therefore providing complete control to its owner. Bio-Key Transformation: ID Attributes: • Sensor / Raw Image / Feature Extraction / Vector Creation Collaboration Through CERIAS: • Department of Computer Science • Biometric Standards, Performance & Assurance (BSPA) Laboratory (Department of Industrial Technology) Reference: [1] A. B. Spantzel, A. C. Squicciarini, E. Bertino. Establishing and Protecting Digital Identity in Federation System. In proceedings of ACM CCS workshop on Digital Identity Management . 239-522.pdf 1 3/5/2007 2:32:34 PM