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A Multifaceted Role of Biometrics in Online Security, Privacy, and Trustworthy Decision Making

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Breakthroughs in Digital Biometrics and Forensics

Abstract

Automatic decision-making, especially when dealing with crucial cybersecurity and privacy issues, has become one of the key directions in digital identity research. Trustworthy human-AI collaboration highlights emergent multifaceted role of AI and deep learning in biometric online security. Biometrics are also increasingly used in a variety of government programs, intended to ensure cybersecurity and to mitigate inherent risks associated with online activities. This chapter provides a comprehensive overview of the current state-of-the-art approaches in the biometric domain, including physiological, behavioral, and social behavioral biometrics. It further establishes connection among biometric online security, privacy, and human psychological traits, including emotions, psychology and aesthetics. This in turn leads to new insights on ensuring safe and secure digital space through artificial intelligence methods, including most recent deep learning approaches. In addition, this chapter discusses emerging paradigms to ensure privacy and trustworthiness of biometric systems: cancelability, de-identification, and information fusion. The chapter is concluded with future research directions in the vibrant domain of behavioral biometrics and online security.

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References

  1. A. Aggarwal, R. Rathore, P. Chattopadhyay, L. Wang, EPD-Net: A GAN-based architecture for face de-identification from images, in 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), (IEEE, 2020), pp. 1–7

    Google Scholar 

  2. F. Ahmed, H. Bari, M. Gavrilova, Emotion recognition from body movement. IEEE Access 8(1), 11761–11781 (2020)

    Article  Google Scholar 

  3. M. Alkhamees, S. Alsaleem, M. Al-Qurishi, M. Al-Rubaian, A. Hussain, User trustworthiness in online social networks: A systematic review. Appl. Soft Comput. 103, 107159 (2021)

    Article  Google Scholar 

  4. A. Amberkar, P. Awasarmol, G. Deshmukh, P. Dave, Speech recognition using recurrent neural networks, in 2018 International Conference on Current Trends Towards Converging Technologies (ICCTCT), (IEEE, 2018), pp. 1–4

    Google Scholar 

  5. N. Andalibi, J. Buss, The human in emotion recognition on social media: Attitudes, outcomes, risks, in Proceedings of CHI Conference on Human Factors in Computing Systems, (ACM, 2020), pp. 1–16

    Google Scholar 

  6. A.H. Bari, M.L. Gavrilova, Artificial neural network-based gait recognition using Kinect sensor. IEEE Access 7, 162708–162722 (2019)

    Article  Google Scholar 

  7. Y. Bhatia, A.S.M. Bari, G.S.J. Hsu, M. Gavrilova, Motion capture sensor-based emotion recognition using a bi-modular sequential neural network. Sensors 22(1), 403 (2022)

    Article  Google Scholar 

  8. A. Borchert, M. Heisel, The role of trustworthiness facets for developing social media applications: A structured literature review. Information 13(1), 34 (2022)

    Article  Google Scholar 

  9. K. Daimi, C. Peoples, Advances in Cybersecurity Management (Springer, 2021)

    Book  Google Scholar 

  10. K. Daimi, N. Hazzazi, M. Saed, Using multimodal biometrics to secure vehicles, in Advances in Security, Networks, and Internet of Things, (Springer, 2021), pp. 567–584

    Chapter  Google Scholar 

  11. A.H. Danesh, H. Shirgahi, Predicting trust in a social network based on structural similarities using a multi-layered perceptron neural network. IIUM Eng. J. 22(1), 103–117 (2021)

    Article  Google Scholar 

  12. M. Destephe, A. Henning, M. Zecca, K. Hashimoto, A. Takanishi, Perception of emotion and emotional intensity in humanoid robot’s gait, in 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), (IEEE, 2013), pp. 1276–1281

    Chapter  Google Scholar 

  13. T. Dhieb, H. Boubaker, S. Njah, M. Ben Ayed, A.M. Alimi, A novel biometric system for signature verification based on score level fusion approach. Multimed. Tools Appl. 81(6), 7817–7845 (2022)

    Article  Google Scholar 

  14. M. Diaz, A. Fischer, M.A. Ferrer, R. Plamondon, Dynamic signature verification system based on one real signature. IEEE Trans. Cybern. 48(1), 228–239 (2016)

    Article  Google Scholar 

  15. P. Ekman, Basic emotions, in Handbook of Cognition and Emotion, (Wiley, Chichester/New York, 1999), pp. 45–60

    Google Scholar 

  16. M. Enserink, G. Chin, The end of privacy. Science 347(6221), 490–491 (2015)

    Article  Google Scholar 

  17. A. Furnham, The big five versus the big four: The relationship between the Myers-Briggs Type Indicator (MBTI) and NEO-PI five factor model of personality. Personal. Individ. Differ. 21(2), 303–307 (1996)

    Article  Google Scholar 

  18. R.L. Galvez, A.A. Bandala, E.P. Dadios, R.R.P. Vicerra, J.M.Z. Maningo, Object detection using convolutional neural networks, in TENCON 2018-2018 IEEE Region 10 Conference, (IEEE, 2018), pp. 2023–2027

    Chapter  Google Scholar 

  19. Y. Gao, R. Singh, B. Raj, Voice impersonation using generative adversarial networks, in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (IEEE, 2018), pp. 2506–2510

    Chapter  Google Scholar 

  20. M. Gavrilova, F. Ahmed, S. Azam, P. Paul, M. Sultana, W. Rahman, F.T. Zohra, Emerging trends in security system design using the concept of social behavioral biometrics, studies on computational intelligence, in Information Fusion for Cyber-Security Analytics, vol. 691, (Springer, Cham, 2017), pp. 229–252

    Chapter  Google Scholar 

  21. M.L. Gavrilova, F. Ahmed, A.H. Bari, R. Liu, T. Liu, Y. Maret, B. Sieu, T. Sudhakar, Multimodal motion-capture-based biometric systems for emergency response and patient rehabilitation, in Research Anthology on Rehabilitation Practices and Therapy, (IGI Global, 2021), pp. 653–678

    Google Scholar 

  22. J. Granatyr, H.M. Gomes, J.M. Dias, A.M. Paiva, M.A.S.N. Nunes, E.E. Scalabrin, F. Spak, Inferring trust using personality aspects extracted from texts, in 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), (IEEE, 2019), pp. 3840–3846

    Chapter  Google Scholar 

  23. L. Hong, A.K. Jain, S. Pankanti, Can multi-biometrics improve performance? in Proceedings AutoID, 99, (IEEE, 1999), pp. 59–64

    Google Scholar 

  24. W. Jiang, L. Ma, Y.G. Jiang, W. Liu, T. Zhang, Recurrent fusion network for image captioning, in Proceedings of the European Conference on Computer Vision (ECCV), (Springer, 2018), pp. 499–515

    Google Scholar 

  25. Y. Jiang, J. Xu, B. Yang, J. Xu, J. Zhu, Image inpainting based on generative adversarial networks. IEEE Access 8, 22884–22892 (2020)

    Article  Google Scholar 

  26. K.P. Kumar, M.L. Gavrilova, Personality traits classification on Twitter, in 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), (IEEE, 2019), pp. 1–8

    Google Scholar 

  27. Y. Li, S. Lyu, De-identification without losing faces, in Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, (ACM, 2019), pp. 83–88

    Chapter  Google Scholar 

  28. A.B. López, Deep learning in biometrics: A survey. Adv. Distrib. Comput. Artif. Intell. J. 8(4), 19–32 (2019)

    Google Scholar 

  29. P. Lovato, A. Perina, N. Sebe, O. Zandonà, A. Montagnini, M. Bicego, M. Cristani, Tell me what you like and I’ll tell you what you are: Discriminating visual preferences on FLICKR data, in Asian Conference on Computer Vision, (Springer, 2012), pp. 45–56

    Google Scholar 

  30. C.S. Montero, M. Munezero, T. Kakkonen, Investigating the role of emotion-based features in author gender classification of text, in International Conference on Intelligent Text Processing and Computational Linguistics (ITPCL), (Springer, 2014), pp. 98–114

    Google Scholar 

  31. M. Monwar, M. Gavrilova, Markov chain model for multimodal biometric rank fusion. Signal Image Video Process., Springer 7(1), 137–149 (2013)

    Article  Google Scholar 

  32. R. Moskovitch, C. Feher, A. Messerman, N. Kirschnick, T. Mustafic, A. Camtepe, Y. Elovici, Identity theft, computers and behavioral biometrics, in 2009 IEEE International Conference on Intelligence and Security Informatics, (IEEE, 2009), pp. 155–160

    Chapter  Google Scholar 

  33. M.F. Mridha, A.Q. Ohi, J. Shin, M.M. Kabir, M.M. Monowar, M.A. Hamid, A Thresholded Gabor-CNN based writer identification system for Indic scripts. IEEE Access 9, 132329–132341 (2021)

    Article  Google Scholar 

  34. M. Muller, Dynamic time warping, in Information Retrieval for Music and Motion, (Springer, 2007), pp. 69–84

    Chapter  Google Scholar 

  35. C.B. Ng, Y.H. Tay, B.M. Goi, A review of facial gender recognition. Pattern. Anal. Appl. 18(4), 739–755 (2015)

    Article  MathSciNet  Google Scholar 

  36. K. Nguyen, C. Fookes, A. Ross, S. Sridharan, Iris recognition with off-the-shelf CNN features: A deep learning perspective. IEEE Access 6, 18848–18855 (2017)

    Article  Google Scholar 

  37. B. Okoniewska, A. Graham, M. Gavrilova, D. Wah, J. Gilgen, J. Coke, J. Burden, S. Nayyar, J. Kaunda, D. Yergens, B. Baylis, W.A. Ghali, Multi-dimensional evaluation of a RFID Wi-Fi location tracking system in an acute-care hospital setting. J. Am. Med. Inform. Assoc. 19(4), 674–679 (2012)

    Article  Google Scholar 

  38. P.P. Paul, M. Gavrilova, S. Klimenko, Situation awareness of cancelable biometric system. Vis. Comput., Springer 30, 1059–1067 (2014)

    Article  Google Scholar 

  39. R. Plutchik, A general psych evolutionary theory of emotion, in Theories of Emotion, (Academic Press, 1980), pp. 3–33

    Chapter  Google Scholar 

  40. A. Popescu, L.D. Ştefan, J. Deshayes-Chossart, B. Ionescu, Face verification with challenging imposters and diversified demographics, in IEEE/CVF Winter Conference on Applications of Computer Vision, (IEEE, 2022), pp. 3357–3366

    Google Scholar 

  41. S. Prabhakar, S. Pankanti, A.K. Jain, Biometric recognition: Security and privacy concerns. IEEE Secur. Priv. 1(2), 33–42 (2003)

    Article  Google Scholar 

  42. N. Purohit, S. Panwar, Dual-pathway deep CNN for offline writer identification, in Advances in Deep Learning, Artificial Intelligence and Robotics, (Springer, 2022), pp. 119–127

    Chapter  Google Scholar 

  43. W. Rahman, M. Gavrilova, Kinect gait skeletal joint feature-based person identification, in 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), (IEEE, 2017), pp. 423–430

    Chapter  Google Scholar 

  44. M. Ravanelli, Y. Bengio, Speaker recognition from raw waveform with SincNet, in IEEE Spoken Language Technology Workshop, (IEEE, 2018), pp. 1021–1028

    Google Scholar 

  45. R. Robinson, K. Wiley, A. Rezaeivahdati, M. Klarkowski, R.L. Mandryk, “Let’s get physiological, physiological!” A systematic review of affective gaming, in Proceedings of the Annual Symposium on Computer-Human Interaction in Play, (ACM, 2020), pp. 132–147

    Chapter  Google Scholar 

  46. N. Rodriguez-Fernandez, S. Alvarez-Gonzalez, I. Santos, A. Torrente-Patiño, A. Carballal, J. Romero, Validation of an aesthetic assessment system for commercial tasks. Entropy 24(1), 103–121 (2022)

    Article  Google Scholar 

  47. C. Segalin, A. Perina, M. Cristani, Personal aesthetics for soft biometrics: A generative multiresolution approach, in Proceedings of the International Conference on Multimodal Interaction, (ACM, 2014), pp. 180–187

    Google Scholar 

  48. Q. Shen, F. Luan, S. Yuan, Multi-scale residual based siamese neural network for writer-independent online signature verification. Appl. Intell., 1–19 (2022). https://doi.org/10.1007/s10489-022-03318-5

  49. L. Shi, Y. Zhang, J. Cheng, H. Lu, Skeleton-based action recognition with directed graph neural networks, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, (IEEE, 2019), pp. 7912–7921

    Google Scholar 

  50. M. Shopon, S.N. Tumpa, Y. Bhatia, K.N. Kumar, M.L. Gavrilova, Biometric systems de-identification: Current advancements and future directions. J. Cybersecur. Priv. 1(3), 470–495 (2021)

    Article  Google Scholar 

  51. B. Sieu, M. Gavrilova, Multi-modal aesthetic system for person identification, in 2021 International Conference on Cyberworlds (CW), (IEEE, 2021), pp. 254–261

    Chapter  Google Scholar 

  52. S. Soleymani, A. Dabouei, H. Kazemi, J. Dawson, N.M. Nasrabadi, Multi-level feature abstraction from convolutional neural networks for multimodal biometric identification, in 24th International Conference on Pattern Recognition, (IEEE, 2018), pp. 3469–3476

    Google Scholar 

  53. K. Sondhi, Y. Bansal, Concept of unimodal and multimodal biometric system. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 4(6), 394–400 (2014)

    Google Scholar 

  54. M. Sultana, P.P. Paul, M.L. Gavrilova, Social behavioral biometrics: An emerging trend. Intern. J. Pattern Recognit. Artif. Intell. 29(8), 1556013 (2015)

    Article  MathSciNet  Google Scholar 

  55. K. Sundararajan, D.L. Woodard, Deep learning for biometrics: A survey. ACM Comput. Surv. 51(3), 1–34 (2018)

    Article  Google Scholar 

  56. H. Talebi, W. Hoang, M. Gavrilova, Multi-scale foreign exchange rates ensemble for classification of trends in Forex market. Procedia Comput. Sci. 29, 2065–2075 (2014)

    Article  Google Scholar 

  57. G.X. Tan, C. Viard-Gaudin, A.C. Kot, Automatic writer identification framework for online handwritten documents using character prototypes. Pattern Recogn. 42(12), 3313–3323 (2009)

    Article  MATH  Google Scholar 

  58. K.M. Tarwani, S. Edem, Survey on recurrent neural network in natural language processing. Int. J. Eng. Trends Technol. 48, 301–304 (2017)

    Article  Google Scholar 

  59. A. Terracciano, C.E. Lockenhoff, A.B. Zonderman, L. Ferrucci, P.T. Costa Jr., Personality predictors of longevity: Activity, emotional stability, and conscientiousness. Psychosom. Med. 70(6), 621 (2008)

    Article  Google Scholar 

  60. S.N. Tumpa, M.L. Gavrilova, Score and rank level fusion algorithms for social behavioral biometrics. IEEE Access 8, 157663–157675 (2020)

    Article  Google Scholar 

  61. N. Voloch, N. Gal-Oz, E. Gudes, A trust-based privacy providing model for online social networks. Online Soc. Netw. Media 24, 100138 (2021)

    Article  Google Scholar 

  62. Y. Wang, B. Widrow, L.A. Zadeh, N. Howard, S. Wood, V.C. Bhavsar, G. Budin, C. Chan, R.A. Fiorini, M.L. Gavrilova, Cognitive intelligence: Deep learning, thinking, and reasoning by brain-inspired systems. Int. J. Cognit. Inform. Nat. Intell. 10, 1–20 (2016)

    Google Scholar 

  63. L. Wang, W. Chen, W. Yang, F. Bi, F.R. Yu, A state-of-the-art review on image synthesis with generative adversarial networks. IEEE Access 8, 63514–63537 (2020)

    Article  Google Scholar 

  64. M.A. Wani, P. Bours, N. Agarwal, S. Jabin, Emotion-based mining for gender prediction in online social networks. Mach. Learn. Data Sci. 2019, 1–8 (2019)

    Google Scholar 

  65. K. Weiss, T.M. Khoshgoftaar, D. Wang, A survey of transfer learning. J. Big Data 3(1), 1–40 (2016)

    Article  Google Scholar 

  66. Y.J. Xiong, Y. Lu, P.S. Wang, Off-line text-independent writer recognition: A survey. Int. J. Pattern Recognit. Artif. Intell. 31(05), 1756008 (2017)

    Article  Google Scholar 

  67. K. Yao, G. Zweig, M.Y. Hwang, Y. Shi, D. Yu, Recurrent neural networks for language understanding, in Interspeech, (Springer, 2013), pp. 2524–2528

    Google Scholar 

  68. I.C. Yoo, K. Lee, S. Leem, H. Oh, B. Ko, D. Yook, Speaker anonymization for personal information protection using voice conversion techniques. IEEE Access 8, 198637–198645 (2020)

    Article  Google Scholar 

  69. J.R. Zhuang, G.Y. Wu, H.H. Lee, E. Tanaka, Applying the interaction of walking-emotion to an assistive device for rehabilitation and exercise, in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), (IEEE, 2019), pp. 6489–6494

    Chapter  Google Scholar 

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Authors and Affiliations

  1. University of Calgary, Calgary, AB, Canada

    Marina L. Gavrilova, Fahim Anzum, A. S. M. Hossain Bari, Yajurv Bhatia, Fariha Iffath, Quwsar Ohi, Md. Shopon & Zaman Wahid

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  1. Marina L. Gavrilova
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  2. Fahim Anzum
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  3. A. S. M. Hossain Bari
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  4. Yajurv Bhatia
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  5. Fariha Iffath
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  6. Quwsar Ohi
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  7. Md. Shopon
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  8. Zaman Wahid
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Correspondence to Marina L. Gavrilova .

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Editors and Affiliations

  1. University of Detroit Mercy, DETROIT, MI, USA

    Kevin Daimi

  2. Center for Cybersecurity, University of West Florida, Pensacola, FL, USA

    Guillermo Francia III

  3. Institute of Physical and Information Technologies and Scientific Researcher (ITEFI), Madrid, Spain

    Luis Hernández Encinas

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Gavrilova, M.L. et al. (2022). A Multifaceted Role of Biometrics in Online Security, Privacy, and Trustworthy Decision Making. In: Daimi, K., Francia III, G., Encinas, L.H. (eds) Breakthroughs in Digital Biometrics and Forensics. Springer, Cham. https://doi.org/10.1007/978-3-031-10706-1_14

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  • DOI: https://doi.org/10.1007/978-3-031-10706-1_14

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