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Security analysis of behavioural biometrics for continuous authentication

In recent years, behavioural biometrics have become increasingly popular, with many types of behaviour being explored for the purpose of user authentication. Some of the most common examples are keystroke dynamics, mouse movements, touchscreen inputs and human gait.

Unlike physiological biometrics (e.g., fingerprints), behavioural biometrics are often believed to be relatively hard for adversaries to collect, but nevertheless have been subject to active attacks, including presentat...

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Australasian Marketing Journal

Defining Biometrics With Privacy and Benefits: A Research Agenda

Introduction, defining biometrics, biometric pricing technology, biometrics and the privacy paradox, typology of consumer responses to perceived privacy concerns and benefits of biometric pricing technology, development of a biometric research agenda, declaration of conflicting interests, cite article, share options, information, rights and permissions, metrics and citations, figures and tables, new biometric collection technology implications, the rise of surveillance capitalism, biometric identification and preserving anonymity, biometric pricing technology (dynamic vs. static pricing).

Examples in societyTechnology BasisPrice DeterminationSource
Biometric based adjustmentNon-Biometric based adjustmentDynamic (Changing in real time)Static (Input and wait)
Customizing products based on customer feedback X X
Online recommendations based on CRM databases of past purchases X X
Retailer recommendations based on past purchases (cookie tracking) X X
Facial Surveillance (CCTV Footage)X  X
Palm Scan for authenticationX  X
Facial scanning for future price determinationX  X
Biometrics used to change advertising displayedX X 
Price setting in front of customer based on facial scanningX X Emerging technology (Above conceptualized as Biometric Pricing Technology or BPT) Conceptualized
Price setting based on pattern of keyboard typingX X Emerging technology Conceptualized

doctoral thesis in biometrics

Consumer technology acceptance of BPT

ThemesResearch agenda
Consumer technology acceptanceWhat are the applications of a live automatic adjusting technology for its acceptance in society by different stakeholders (consumers, retailers, B2B)?
How does a biometric tracking technology change the relationships of consumers with corporations? Or from a management perspective? (Staffing, Personalizing Experiences, Payment Authentication, Trust)
How does the usage of biometric price setting change customer satisfaction in the retailing process? (e.g. attitude, memory, involvement and affect towards products)
How does full customization based on biometric recognition differ from the current profile archetype (e.g. cookie tracking based on past behaviours) used by businesses for customizing? What advantages does this offer marketers for understanding customers and changing products and prices?
How will biometric price setting change banking charges, crypto currency transactions and currency exchanges? Biometric tracking to validate bank account ownership and associated transaction fees? Will biometrics be hard to forge and emerge as a new form of personal currency or currency tracking/ access feature?
Implications of profilingHow will the permanency of biometric tracking change their collection and usage?
How do the different forms of profiling change identification, physical, emotional, behavioural and cognitive states?
What submarkets and after markets will emerge from the introduction of biometric profiling technology? For example, would there be a chance to create black or grey markets for selling others’ privacy, renting a face to perform an action to avoid biometric tracking, and increasing plastic and cosmetic surgery to alter biometrics?
How will different preferences and the ease of access to information, services and opportunities emerge based on the recognition and classification of biometrics?
Governance and regulationsWhat differences emerge between developed and undeveloped countries, or for underrepresented or vulnerable populations, for biometric implementations – and biometric integration as digital currency, augmented humans and other technologies advance?
Are previous legal privacy frameworks applicable to current biometric tracking? What policies need updating to protect and respect the individual, society as well as the corporation?
How are the levels of security and trust with a corporation affected when collecting biometric data versus regular consumer data?
How will the scope of usage with biometric price setting be regulated? (e.g. professional athletes, or labour-based workers, compensations determined by the physical effort they exert?)
How will justice, equality and oversight be enforced and held accountable within the algorithms which govern biometric tracking systems?
How will public policies need to be adjusted to ensure information collected is only used for its intended purposes, as well as to allow privacy for the everyday consumer?
Ethical considerationsHow does the computer science discipline that develops technology interact with the humanities who are developing guiding ethical frameworks to integrate transparency-enhancing design patterns to comply with legal requirements when requesting consent?
How do biometric algorithms stop operating from biased and flawed (racially discriminating) training data, while still respecting the privacy of populations of individuals?
What ethical viewpoints will be used to determine the advancements or regulations of biometric tracking and its usage?
Future usageHow do NFTs (unique non fungible tokens/identifiable photographs) and their growing prominence affect the conceptual fluency of consumers for understanding and accepting the usage of personal biometrics online?
What gamification and changes in consumer behaviours or marketing tactics will emerge?
How will consumers over time change their expectations and appraisals between what is privacy invasive and what is common?
Will consumers be able to regain the previous level of privacy they once had, prior to the introduction of biometric tracking, if biometric tracking becomes common?

Implications of consumer profiling

Governance and regulations, ethical considerations, future usage, download to reference manager.

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doctoral thesis in biometrics

  • biometric tracking
  • technology acceptance
  • consumer decision process
  • public policy
  • research agenda
  • privacy paradox

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  • Corpus ID: 43113616

Behavioral Biometrics for Smartphone User Authentication

  • Attaullah Buriro
  • Published 28 February 2017
  • Computer Science

Figures and Tables from this paper

figure 2.1

21 Citations

Privacy compliant multi-biometric authentication on smartphones, demystifying authentication concepts in smartphones: ways and types to secure access, multi-biometric authentication protocol for smartphones, authentisense: a scalable behavioral biometrics authentication scheme using few-shot learning for mobile platforms, mobile biometrics: towards a comprehensive evaluation methodology, biometric authentication and penetration of smartphones, behavioral biometrics & continuous user authentication on mobile devices: a survey, answerauth: a bimodal behavioral biometric-based user authentication scheme for smartphones.

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DriverAuth: Behavioral biometric-based driver authentication mechanism for on-demand ride and ridesharing infrastructure

A survey of machine learning techniques for behavioral-based biometric user authentication, 108 references, continuous authentication on mobile devices by analysis of typing motion behavior, touchstroke: smartphone user authentication based on touch-typing biometrics.

  • Highly Influential
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Unobservable Re-authentication for Smartphones

Hold and sign: a novel behavioral biometrics for smartphone user authentication.

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Exploring Touch-Screen Biometrics for User Identification on Smart Phones

Multi-sensor authentication to improve smartphone security, tdas: a touch dynamics based multi-factor authentication solution for mobile devices, towards continuous and passive authentication via touch biometrics: an experimental study on smartphones, please hold on: unobtrusive user authentication using smartphone's built-in sensors, continuous user authentication using multi-modal biometrics, related papers.

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Computer Science > Computer Vision and Pattern Recognition

Title: seamless multimodal biometrics for continuous personalised wellbeing monitoring.

Abstract: Artificially intelligent perception is increasingly present in the lives of every one of us. Vehicles are no exception, (...) In the near future, pattern recognition will have an even stronger role in vehicles, as self-driving cars will require automated ways to understand what is happening around (and within) them and act accordingly. (...) This doctoral work focused on advancing in-vehicle sensing through the research of novel computer vision and pattern recognition methodologies for both biometrics and wellbeing monitoring. The main focus has been on electrocardiogram (ECG) biometrics, a trait well-known for its potential for seamless driver monitoring. Major efforts were devoted to achieving improved performance in identification and identity verification in off-the-person scenarios, well-known for increased noise and variability. Here, end-to-end deep learning ECG biometric solutions were proposed and important topics were addressed such as cross-database and long-term performance, waveform relevance through explainability, and interlead conversion. Face biometrics, a natural complement to the ECG in seamless unconstrained scenarios, was also studied in this work. The open challenges of masked face recognition and interpretability in biometrics were tackled in an effort to evolve towards algorithms that are more transparent, trustworthy, and robust to significant occlusions. Within the topic of wellbeing monitoring, improved solutions to multimodal emotion recognition in groups of people and activity/violence recognition in in-vehicle scenarios were proposed. At last, we also proposed a novel way to learn template security within end-to-end models, dismissing additional separate encryption processes, and a self-supervised learning approach tailored to sequential data, in order to ensure data security and optimal performance. (...)
Comments: Doctoral thesis presented and approved on the 21st of December 2022 to the University of Porto
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: [cs.CV]
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IEEE Biometrics Council Best Doctoral Dissertation Award

IEEE Biometrics Council Best Doctoral Dissertation Award was established in 2018 to express recognition for and promote outstanding efforts and contributions in doctoral dissertations in the field of interest to the IEEE Biometrics Council. The award is administered by the IEEE Biometrics Council Awards Committee, which is responsible for reviewing and recommending candidates to the IEEE Biometrics Council Administrative Committee. The award will be presented at the BTAS or IJCB conference.

Eligibility: The nominated dissertation should be within one year after the successful defense date, at the time of nomination. The original dissertation can be in any language, but the nominated dissertation should be either originally written or officially translated into English.

Prize Items: $1,000 and a commemorative Plaque.

Frequency:   Annual. Award will be given only if a suitable awardee is identified.

IEEE Biometrics Council Best Doctoral Dissertation Award Nomination Form (DOCX)

List of Recipients

Chaoyou Fu (2023)

Maneet Singh (2022)

Akshay Agarwal (2021)

Gaurav Goswami (2019)

2024 Award Nominations Open!

Marija Ivanovska 2024-01-08T18:37:27-05:00 January 8, 2024 |

IEEE Biometrics Council Meritorious Service Award Deadline: March 1, 2024 Nominations are invited for the "IEEE Biometrics Council Meritorious Service Award" to honor outstanding service in the field of biometrics. The award is administered by the IEEE Biometrics Council Award [...]

Winners of the IEEE Biometrics Council Awards 2023

Marija Ivanovska 2023-10-25T15:28:14-04:00 October 25, 2023 |

The Biometrics Council is pleased to announce the winners of the IEEE Biometrics Council Awards for 2023. Mayank Vatsa, Meritorious Service Award Kevin Bowyer, Leadership Award Chaoyou Fu, Best Doctoral Dissertation Award Transactions on Biometrics Behavior & Identity Science Best [...]

2023 Award Nominations Open!

Tom Duhamel 2023-04-18T09:59:59-04:00 January 1, 2023 |

Nomination Deadline: March 1, 2023 T-BIOM Science Best Paper Award Nominations This award is to recognize on a yearly basis a highly influential and impacting article published at IEEE Transactions on Biometrics Behavior and Identity Science (TBIOM) in the preceding [...]

2022 Award Nominations Are Open!

Tom Duhamel 2023-04-18T09:59:59-04:00 January 1, 2022 |

2022 IEEE Biometrics Council Best Doctoral Dissertation Award Nomination Deadline: March 01, 2022 To express recognition for and to promote outstanding effort and contributions in a doctoral dissertation in the field of interest to the IEEE Biometrics Council, the IEEE [...]

Winner of IEEE Biometrics Council Best Doctoral Dissertation Award 2021

Tom Duhamel 2023-04-18T09:59:59-04:00 September 4, 2021 |

The Biometrics Council is pleased to honor Dr. Akshay Agarwal with the Best Doctoral Dissertation Award for 2021. Dr. Agarwal defended his dissertation, “Panoptic Defenses for Secure Computer Vision,” in December 2020 at IIIT-Delhi, India and was advised by Dr. [...]

2021 Award Nominations Are Open!

Tom Duhamel 2023-04-18T09:59:59-04:00 April 4, 2021 |

2021 IEEE Biometrics Council Best Doctoral Dissertation Award Nomination Deadline: June 07, 2021 To express recognition for, and promote outstanding effort and contributions in doctoral dissertation in the field of interest to the IEEE Biometrics Council, the IEEE Biometrics Council [...]

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doctoral thesis in biometrics

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head shot of 2010-11 American Fellow Ayana Johnson

Ayana Johnson

2010–11 American Fellow and marine biologist, policy expert and conservation strategist. She is the founder and CEO of Ocean Collectiv and founder of Urban Ocean Lab.

Head shot of 2013 AAUW Alumnae Recognition Awardee Melissa Harris-Perry

Melissa Harris-Perry

2001-02 AAUW American Fellow and Maya Angelou Presidential Chair at Wake Forest University, a columnist for the Nation, editor-at-large for ZORA, author of Sister Citizen: Shame, Stereotypes, and Black Women in America , and former host of The Melissa Harris-Perry Show on MSNBC.

Head shot of AAUW 1997-98 American Fellow Kimberly Ennico-Smith

Kimberly Ennico-Smith

1997-98 AAUW American Fellow and staff scientist with NASA who served as deputy project scientist for NASA’s New Horizons Mission, the historic project responsible for capturing unprecedented photos of Pluto.

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  1. Thesis On Gait Biometric

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  3. Biometrics. (Management Information System Field ) Research Paper

    doctoral thesis in biometrics

  4. (PDF) Biometric Authentication: Comparative Study of Different

    doctoral thesis in biometrics

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VIDEO

  1. Panel: Biometrics & Privacy

  2. PhD thesis printing from Patel Printers Mumbai

  3. Bi-Modal Palm Biometric System

  4. PhD Programme at IIMB: PhD scholar Sai Dattathrani, Information Systems area

  5. Payroll System using Biometrics vb.net (PART 2)

  6. Biometrics Research At CMU

COMMENTS

  1. PDF Learning of Identity from Behavioral Biometrics for Active ...

    Learning of Identity from Behavioral Biometrics for Active Authentication Lex Fridman Advisor: Moshe Kam, PhD Co-advisor: Steven Weber, PhD In this work, we look into the problem of active authentication on desktop computers and mobile devices. Active authentication is the process of continuously verifying a person's identity based

  2. SECURITY AND PRIVACY IN BIOMETRICS-BASED SYSTEMS

    I would also like to express my thanks to my doctoral dissertation committee members: Dr. Ahamad Mustaque, Dr. Irfan Essa, Dr. Alexandra Boldyreva, Dr. Vladimir Kolesnikov and Dr. Nasir Memon. I also consider myself very fortunate to have a chance to work and collaborate with them. Their insightful comments, suggestions and guidance on my

  3. PDF Biometric system for identification and authentication

    Doctoral dissertation, 2017 By: Foudil BELHADJ Biometric system for identification and authentication Examination Committee President: Walid Khaled HIDOUCI Professor, ESI, Algiers, Algeria Examiners: Latifa HAMAMI Professor, EMP, Algiers, Algeria Hamid HADDADOU MCA, ESI, Algiers, Algeria

  4. Biometrics for Cybersecurity and Unconstrained Environments

    Biometric identification has been a challenging topic in computer vision for the past few decades. In this thesis, we study four main challenges in biometrics: 1) secure and privacy-preserving biometric identification in untrusted public cloud servers, 2) single sample face recognition in unconstrained environments, 3) multimodal biometrics using feature-level fusion, and 4) low-resolution ...

  5. Multimodal Biometric Systems for Personal Identification and

    PhD Thesis: Abstract: Multimodal biometrics, using machine and deep learning, has recently gained interest over single biometric modalities. This interest stems from the fact that this technique improves recognition and, thus, provides more security. In fact, by combining the abilities of single biometrics, the fusion of two or more biometric ...

  6. Security analysis of behavioural biometrics for continuous

    In recent years, behavioural biometrics have become increasingly popular, with many types of behaviour being explored for the purpose of user authentication. ... Security analysis of behavioural biometrics for continuous authentication [PhD thesis]. University of Oxford. Copy APA Style MLA Style. Eberz, S. Security Analysis of Behavioural ...

  7. Behavioral Biometrics for Continuous Authentication: Security and

    This doctoral thesis includes four research stages. These are the research stages of a single research project. In the first research stage, an extensive literature review is presented that maps ...

  8. Defining Biometrics With Privacy and Benefits: A Research Agenda

    The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The primary author holds an Australian Research and Training Scholarship for their doctoral thesis on biometric acceptance in consumer settings.

  9. (PDF) Comprehensive Study of Biometric Authentication Systems

    applications, biometrics can supplement the current. technology. This paper makes a comprehensive study of. the existing biometric methodologies, their usage and. limitations that are employed in ...

  10. Behavioral Biometrics for Smartphone User Authentication

    This dissertation discusses limitations of existing authentication methods in terms of security and usability, and proposes their replacements with behavioral biometric based authentication mechanisms, which can be implemented on most of the smartphones available in the market today. Pervasive in nature and extensively used for a wide range of features, smartphone provides functionality such ...

  11. Robust Algorithms for Audio-Visual Biometric Authentication

    The thesis examines the generalizability of biometric algorithms to improve the robustness of biometric recognition. The results from the proposed methods are evaluated with extensive experiments and detailed examinations of both publicly available databases and new datasets created in this work.

  12. Behavioral Biometrics for Smartphone User Authentication

    In this dissertation, we discuss limitations of existing authentication methods in terms of security and usability, and propose their replacements with behavioral biometric based authentication mechanisms. The underlying principle of our approach is to design solutions that authenticate users with either minimal or no cooperation from the users.

  13. (PDF) Seamless Multimodal Biometrics for Continuous Personalised

    This doctoral work focused on advancing in-vehicle sensing through the research of novel computer vision and pattern recognition methodologies for both biometrics and wellbeing monitoring. The ...

  14. Efficient privacy-preserving biometric identification in largescale

    In recent years, applications of biometric systems on national and international scale have appeared. Biometric identification is one of the important operational modes of such sy

  15. Seamless Multimodal Biometrics for Continuous Personalised Wellbeing

    This doctoral work focused on advancing in-vehicle sensing through the research of novel computer vision and pattern recognition methodologies for both biometrics and wellbeing monitoring. The main focus has been on electrocardiogram (ECG) biometrics, a trait well-known for its potential for seamless driver monitoring.

  16. Transactions on Biometrics Behavior and Identity Science Sustained

    2021 IEEE Biometrics Council Best Doctoral Dissertation Award Nomination Deadline: June 07, 2021 To express recognition for, and promote outstanding effort and contributions in doctoral dissertation in the field of interest to the IEEE Biometrics Council, the IEEE Biometrics Council [...] View Archived Posts. On This Page. About;

  17. PDF Voice biometric system security: Design and analysis of ...

    PhD thesis School of Electronic Engineering and Computer Science Queen Mary University of London 2020. Author's declaration I, Bhusan Chettri, con rm that the research included within this thesis is my ... Voice biometric systems use automatic speaker veri cation (ASV) technology for

  18. PDF Biometric Authentication. Types of biometric identifiers

    The first ideas of biometrics appeared many years ago. In general , it is very difficult to say that biometrics appeared it this place at this time. The ideas to use parts of human body and even the ways to use this ideas appeared all over the world. First evidences of biometrics appeared in 29.000BC when the cavemen used their fingerprints to sign

  19. Unconventional Biometrics

    This thesis is a paper collection that focuses on unconventional methods of biometric recognition. Four new approaches are presented and discussed. The first two introduce and explore the concepts behind transient biometrics. Transient biometrics relaxes the hard permanence requirement that is common to biometric identifiers, creating a ...

  20. PDF Soft Biometrics for Keystroke Dynamics

    This PhD thesis focuses on biometric authentication and we propose to use keystroke dynamics in order to avoid password-based authentication problems. Keystroke dynamics measures the rhythm a ...

  21. Dissertations / Theses on the topic 'Biometrics'

    This PhD thesis focuses on biometric authentication and we propose to use keystroke dynamics in order to avoid password-based authentication problems. Keystroke dynamics measures the rhythm a person exhibits while typing on a keyboard. In this sense, keystroke dynamics is a behavioral biometric modality, as well as signature dynamics, gait and ...

  22. IEEE Biometrics Council Best Doctoral Dissertation Award

    October 25, 2023. The Biometrics Council is pleased to announce the winners of the IEEE Biometrics Council Awards for 2023. Mayank Vatsa, Meritorious Service Award Kevin Bowyer, Leadership Award Chaoyou Fu, Best Doctoral Dissertation Award Transactions on Biometrics Behavior & Identity Science Best [...] 1 01, 2023.

  23. Consumers Perspectives on Using Biometric Technology With Mobile Banking

    This Dissertation is brought to you for free and open access by the Walden Dissertations and Doctoral Studies Collection at ScholarWorks. It has been accepted for inclusion in Walden Dissertations and Doctoral Studies by an authorized administrator of ScholarWorks. For more information, please contact [email protected]. Masthead Logo Link

  24. American Fellowships

    The American Dissertation Fellowship must be used for the final year of writing the dissertation. Applicants must have completed all coursework, passed all preliminary exams, and had the dissertation research proposal or plan approved by November 1, 2023. The doctoral degree/dissertation must be completed between April 1 and June 30, 2025.