Top

Published in:

2017 | OriginalPaper | Chapter

10. Emerging Trends in Security System Design Using the Concept of Social Behavioural Biometrics

Authors : M. L. Gavrilova, F. Ahmed, S. Azam, P. P. Paul, W. Rahman, M. Sultana, F. T. Zohra

Published in: Information Fusion for Cyber-Security Analytics

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

This chapter investigates how existing biometric research can be advanced by integrating it with the social behavioural information. Analytical discussions on how social behavioural biometrics can be extracted and applied in various security, and authentication applications will be presented. This chapter also provides some insights onto current and emerging research in the multimodal biometric domain, formulates open questions and investigates future directions. Answers to those questions will assist not only in establishment of the new methods in the biometric security domain but also provide insights into the future emerging topics in the big data analytics and social networking research.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Security in Wireless Sensor Networks (WSNs) and Their Applications

next chapter Empirical Evidences in Software-Defined Network Security: A Systematic Literature Review

Paul, P.P., Gavrilova, M.L., Alhajj, R.: Decision fusion for multimodal biometrics using social network analysis systems. IEEE Trans. Man. Cybern. Syst. 44(11), 522–1533 (2014)

Segalin, C., Perina, A., Cristani, M.: Personal aesthetics for soft biometrics: a generative multi-resolution approach. 16th International conference on multimodal interaction (ICMI '14), pp. 180–187 (2014)

Sultana, M., Paul, P.P., Gavrilova, M.: A concept of social behavioral biometrics: motivation, current developments, and future trends. International conference on Cyberworlds, pp. 271–278 (2014)

Yampolskiy, R., Gavrilova, M.: Artimetrics: biometrics for artificial entities. IEEE Robot Autom. Mag. 19(4), 48–58 (2012)CrossRef

Jain, A.K., Ross, A., Prabhakar, S.: An introduction to biometric recognition. IEEE Trans. Circuits Syst. Video Technol. 14(1), 420 (2004)CrossRef

Sultana, M., Paul, P.P., Gavrilova, M.: Mining social behavioral biometrics in Twitter. International conference on cyberworlds, pp. 293–299 (2014)

Sultana, M., Paul, P.P., Gavrilova, M.: Social behavioral biometrics: an emerging trend. Int. J. Pattern Recognit. Artif. Intell. 29(8), 1556013-1-20 (2015)MathSciNetCrossRef

Gavrilova, M., Yampolskiy, R.: Applying biometric principles to avatar recognition. Trans. Comput. Sci. XII, 140–158 (2011)CrossRef

Drosou, A., Ioannidisa, D., Tzovarasa, D., Moustakasb, K., Petroua, M.: Activity related authentication using prehension biometrics. Pattern Recognit. 48(5), 1743–1759 (2015)CrossRef

10.

Bazazian, S., Gavrilova, M.: A hybrid method for context-based gait recognition based on behavioral and social traits. Trans. Comput. Sci. LNCS 9030, 115–134 (2015)

11.

Sultana, M., Paul, P.P., Gavrilova, M.: Identifying users from online interactions in Twitter. In: Gavrilova, M.L. (ed.) Transactions on Computational Science XXVI, pp. 111–124. Springer, Berlin (2016)CrossRef

12.

Paul, P.P., Sultana, M., Matei, S.A., Gavrilova, M.L.: Editing behavior to recognize authors of crowdsourced content. IEEE international conference on systems, man, and cybernetics (SMC), pp. 1676–1681 (2015)

13.

Haxby, J., Hoffman, E., Gobbini, I.: Human neural systems for face recognition and social communication. Biol Psychiatry 51(1), 59–67 (2002)CrossRef

14.

Flickrdomain. https://www.flickr.com/. Accessed 19 Jan 2016

15.

Lovato, P., Bicego, M., Segalin, C., Perina, A., Sebe, N., Cristani, M.: Faved! Biometrics: tell me which image you like and I'll tell you who you are. IEEE Trans. Inf. Forensic Secur. 9(3), 364–374 (2014)CrossRef

16.

Csurka, G., et al.: Visual categorization with bags of keypoints. Workshop on statistical learning in computer vision, ECCV 1, pp 1–22 (2004)

17.

Pinterest domain. https://www.pinterest.com/. Accessed: 19 Jan 2016

18.

Leder, H., Belke, B., Oeberst, A., Augustin, D.: A model of aesthetic appreciation and aesthetic judgments. Br. J. Psychol. 95(4), 489–508 (2004)CrossRef

19.

Aydin, T., Smolic, A., Gross, M.: Automated aesthetic analysis of photographic images. IEEE Trans. Vis. Comput. Graph 21(1), 31–42 (2015)CrossRef

20.

Jiang, W., Loui, A., Cerosaletti, C. (2010) Automatic aesthetic value assessment in photographic images. 2010 I.E. international conference on multimedia and expo (ICME), pp. 920–925 (2010).

21.

Marchesotti, L., Perronnin, F., Larlus, D., Csurka, G.: Assessing the aesthetic quality of photographs using generic image descriptors. IEEE international conference on computer vision (ICCV), pp.1784–1791 (2011)

22.

Xiaohui, W., Jia, J., Yin, J., Cai, L.: Interpretable aesthetic features for affective image classification. 20th IEEE international conference on image processing (ICIP), pp. 3230–3234 (2013).

23.

Isola, P., Xiao, J., Parikh, D., Torralba, A., Oliva, A.: What makes a photograph memorable? IEEE Trans. Pattern Anal. Mach. Intell. 36(7), 1469–1482 (2014)CrossRef

24.

Khosla, A., Sarma, A.D., Hamid, R.: What makes an image popular? 23rd international conference on World wide web (WWW '14), pp. 867–876 (2014)

25.

Gavrilova, M., Monwar, M.: Multimodal Biometrics and Intelligent Image Processing for Security Systems. IGI book, Hershey, PA (2013)CrossRef

26.

Vinciarelli, A., Pantic, M., Heylen, D., Pelachaud, C., Poggi, I., D'Errico, F., Schroeder, M.: Bridging the gap between social animal and unsocial machine: a survey of social signal processing. IEEE Trans. Affect Comput. 3(1), 69–87 (2012)CrossRef

27.

Chew, S., Lucey, P., Lucey, S., Saragih, J., Cohn, J., Matthews, I., Sridharan, S.: In the pursuit of effective affective computing: the relationship between features and registration. IEEE Trans. Syst. Man. Cybern. B 42(4), 1006–1016 (2012)CrossRef

28.

Eleftheriadis, S., Rudovic, O., Pantic, M.: Discriminative shared Gaussian processes for multiview and view-invariant facial expression recognition. IEEE Trans. Image Process 24(1), 189–204 (2015)MathSciNetCrossRef

29.

Li, Y., Wang, S., Zhao, Y., Ji, Q.: Simultaneous Facial Feature Tracking and Facial Expression Recognition. IEEE Trans. Image Process 22(7), 2559–2573 (2013)CrossRef

30.

Littlewort, G., Whitehill, J., Wu, T., Fasel, I., Frank, M., Movellan, J., Bartlett, M.: The computer expression recognition toolbox (CERT). IEEE International conference of automatic face and gesture recognition workshops, pp. 298–305 (2011)

31.

Lucey, S., Matthews, I., Hu, C., Ambadar, Z., Cohn, J.: AAM derived face representations for robust facial action recognition. IEEE International conference of automatic face and gesture recognition, pp. 155–160 (2006)

32.

Tian, Y.L., Kanade, T., Cohn, J.F.: Recognizing action units for facial expression analysis. IEEE Trans. Pattern Anal. Mach. Intell. 23(2), 97–115 (2001)CrossRef

33.

Wang, S., Liu, Z., Lv, S., Lv, Y., Wu, G., Peng, P., Chen, F., Wang, X.: A natural visible and infrared facial expression data-base for expression recognition and emotion inference. IEEE Trans. Multimedia 12(7), 682–691 (2010)CrossRef

34.

Sariyanidi, S., Gunes, H., Cavallaro, A.: Automatic analysis of facial affect: a survey of registration, representation, and recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(6), 1113–1133 (2015)CrossRef

35.

Ekman, P., Friesen, W.: Facial Action Coding System: A Technique for the Measurement of Facial Movement. Consulting Psy-chologists Press, Palo Alto, CA (1978)

36.

Boucenna, S., Gaussier, P., Hafemeister, L.: Development of first social referencing skills: emotional interaction as a way to regulate robot behavior. IEEE Trans. Autonom Mental Dev. 6(1), 42–55 (2014)CrossRef

37.

Barakova, E., Gorbunov, R., Rauterberg, M.: Automatic interpretation of affective facial expressions in the context of interpersonal interaction. IEEE Trans. Hum. Mach. Syst. 45(4), 409–418 (2015)CrossRef

38.

Bae, M., Park, I.: Content-based 3d model retrieval using a single depth image from a low-cost 3d camera. Visual Comput. 29, 555–564 (2013)CrossRef

39.

Barth, J., Klucken, J., Kugler, P., Kammerer, T., Steidl, R., Winkler, J., Hornegger, J., Eskofier, B.: Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson’s disease. Annual international conference of the IEEE engineering in medicine and biology society, EMBC, pp. 868–871 (2011)

40.

Zhang, Y., Zheng, J., Magnenat-Thalmann, N.: Example-guided anthropometric human body modeling. Visual Comput. CGI 2014, 1–17 (2014)

41.

Zhou, L., Zhiwu, L., Leung, H., Shang, L.: Spatial temporal pyramid matching using temporal sparse representation for human motion retrieval. Visual Comput. 30, 845–854 (2014)CrossRef

42.

Drosou, A.: Activity related biometrics for person authentication. PhD thesis, Imperial College London (2014)

43.

Ferro, M., Pioggia, G., Tognetti, A., Carbonaro, N., Rossi, D.D.: A sensing seat for human authentication. IEEE Trans. Inf. Forensic Secur. 4(3), 451–459 (2009)CrossRef

44.

Stone, E., Skubic, M.: Evaluation of an inexpensive depth camera for passive in-home fall risk assessment. International pervasive computing technologies for healthcare conference, pp. 71–77 (2011)

45.

Chang, Y., Chen, S., Huang, J.: A kinect-based system for physical rehabilitation: a pilot study for young adults with motor disabilities. Res. Dev. Disabil. 32(6), 2566–2570 (2011)CrossRef

46.

Popa, M., Koc, A., Rothkrantz, L., Shan, C., Wiggers, P.: Kinect sensing of shopping related actions. Commun. Comput. Inf. Sci. 277, 91–100 (2012)CrossRef

47.

Ball, A., Rye, D., Ramos, F., Velonaki, M.: Unsupervised clustering of people from ‘skeleton’ data. ACM/IEEE international conference on human robot interaction, pp. 225–226 (2012)

48.

Preis, J., Kessel, M., Linnhoff-Popien, C., Werner, M.: Gait recognition with kinect. Workshop on kinect in pervasive computing (2012)

49.

Ahmed, F., Paul, P., Gavrilova, M.: Dtw-based kernel and rank level fusion for 3d gait recognition using Kinect. Visual Comput. 31(6-8), 915–924 (2015)CrossRef

50.

Ahmed, F., Gavrilova, M.: Biometric-based user authentication and activity level detection in a collaborative environment. In: Matei, S.A., et al. (eds.) Transparency in Social Media, pp. 166–179. Springer, New York, NY (2015)

51.

Sanei, S., Chambers, J.: EEG Signal Processing. John Wiley & Sons Ltd, England (2007)CrossRef

52.

Webster, J.G.: Medical Instrumentation Application and Design. Medical Imaging and Instrumentation Laboratory, Stanford, CA (2009)

53.

Types of brain waves online article http://mentalhealthdaily.com/2014/04/15/5-types-of-brain-waves-frequencies-gamma-beta-alpha-theta-delta/. Accessed 17 Jan 2016

54.

Nguyen, P., Tran, D., Huang, X., Sharma, D.: A proposed feature extraction method for EEG based person identification. In: International conference artificial intelligence (ICAI) (2012)

55.

Smit, D., Posthuma, D., Boomsma, D.I., Geus, E.J.C.: Heritability of background EEG across the power spectrum. Psychophysiology 42(6), 691–697 (2005)CrossRef

56.

Ruiz Blondet, M., Laszlo, S., Jin, Z.: Assessment of permanence of non-volitional EEG brainwaves as a biometric. International conference on identity, security and behavior analysis (ISBA) (2015)

57.

Whitehill, J., Serpell, Z., Lin, Y.C., Foster, A., Movellan, J.R.: The faces of engagement: automatic recognition of student engagement from facial expressions. IEEE Trans. Affect Comput. 5(1), 86–98 (2014)CrossRef

58.

Cohn, J.F.: Advances in behavioral science using automated facial image analysis and synthesis [social sciences]. Signal Proc. Mag. 27(6), 128–133 (2010)

59.

Poursaberi, A., Vana, J., Mráček, S., Dvora, R., Yanushkevich, S.N., Dra-hansky, M., Shmerko, V.P., Gavrilova, M.L.: Facial biometrics for situational awareness systems. IET Biometrics 2(2), 35–47 (2013)CrossRef

60.

McDuff, D., El Kaliouby, R., Cohn, J.F., Picard, R.W.: Predicting Ad liking and purchase intent: large-scale analysis of facial responses to Ads. IEEE Trans. Affect Comput. 6(3), 223–235 (2015)CrossRef

Title: Emerging Trends in Security System Design Using the Concept of Social Behavioural Biometrics
Authors: M. L. Gavrilova
F. Ahmed
S. Azam
P. P. Paul
W. Rahman
M. Sultana
F. T. Zohra
Publisher: Springer International Publishing
Book: Information Fusion for Cyber-Security Analytics
Print ISBN: 978-3-319-44256-3

Electronic ISBN: 978-3-319-44257-0

Copyright Year: 2017
DOI: https://doi.org/10.1007/978-3-319-44257-0_10

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"