Abstract
Smartphones apart from enjoying access to personal data, are increasingly being used for performing sensitive and critical financial transactions. Thus, making smartphones vulnerable to numerous contemporary threats as strong security solutions were not developed while considering resource-constrained devices like mobile phones in mind. A need for such a security solution persists that is capable of delivering strong security without compromising user convenience. Biometric tends to offer unparalleled user convenience. Although sparse usage of the face and fingerprint biometrics appear on mobile phone devices. However, their application is limited to mere device unlocking. The low accuracy offered by such solutions results in low user acceptance and limits their use in other security solutions. Therefore, it is evident that the recognition accuracy has to be inspected and improved to deal with the real-world situations. In this chapter, an adaptive face identification capable of minimizing the variations of real-world uncontrollable situations has been developed primarily on Android mobile devices while investigating the state of art algorithms in the field of face identification; Face Detection: Haar detector, Local Binary Patterns (LBP) detector; Face Identification: Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Local Binary Patterns Histograms (LBPH).
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Abbas, N., Zhang, Y., Taherkordi, A. and Skeie, T., 2018. Mobile edge computing: A survey. IEEE Internet of Things Journal, 5(1), pp. 450-465.
Adhikary, N., Shrivastava, R., Kumar, A., Verma, S.K., Bag, M. and Singh, V., 2012. Battering keyloggers and screen recording software by fabricating passwords. International Journal of Computer Network and Information Security, 4(5), p.13.
Ambalakat, P., 2005, April. Security of biometric authentication systems. In 21st Computer Science Seminar (p. 1).
Andreeva, E., 2012, September. Secret sharing in continuous access control system, using heart sounds. In Problems of Redundancy in Information and Control Systems (RED), 2012 XIII International Symposium on (pp. 5-6). IEEE.
Aviv, A.J., Gibson, K.L., Mossop, E., Blaze, M. and Smith, J.M., 2010. Smudge Attacks on Smartphone Touch Screens. Woot, 10, pp. 1-7.
Bao, W., Li, H., Li, N. and Jiang, W., 2009, April. A liveness detection method for face recognition based on optical flow field. In Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on (pp. 233-236). IEEE.
Buriro, A., Gupta, S. and Crispo, B., 2017. Evaluation of Motion-based Touch-typing Biometrics for online Banking.
Chingovska, I., Anjos, A. and Marcel, S., 2012. On the effectiveness of local binary patterns in face anti-spoofing. In Proceedings of the 11th International Conference of the Biometrics Special Interes Group (No. EPFL-CONF-192369).
Coldewey D. NIST declares the age of SMS-based 2-factor authentication over [Online]. TechCrunch. 2018. https://beta.techcrunch.com/2016/07/25/nist-declares-the-age-of-sms-based-2-factor-authentication-over/ [Accessed 30 April 2018].
Conklin, A., Dietrich, G. and Walz, D., 2004, January. Password-based authentication: a system perspective. In System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on (pp. 10-pp). IEEE.
Darwaish, S.F., Moradian, E., Rahmani, T. and Knauer, M., 2014. Biometric identification on Android smartphones. Procedia Computer Science, 35, pp.832-841.
De Marsico, M., Galdi, C., Nappi, M. and Riccio, D., 2014. Firme: Face and iris recognition for mobile engagement. Image and Vision Computing, 32(12), pp.1161-1172.
Elftmann, P., 2006. Secure alternatives to password-based authentication mechanisms. Lab. for Dependable Distributed Systems, RWTH Aachen Univ.
Goel, C.K. and Arya, G., 2012. Hacking of passwords in windows environment. International Journal of Computer Science & Communication Networks, 2(3), pp.430-435.
Grahakseva, Online fraud happened hacking my icici bank credit card [Online]. 2013 http://www.grahakseva.com/complaints/130310/online-fraud-happened-hacking-my-icici-bank-credit-card [Accessed 30 April 2018].
Hu, J., Peng, L. and Zheng, L., 2015, August. XFace: a face recognition system for Android mobile phones. In Cyber-Physical Systems, Networks, and Applications (CPSNA), 2015 IEEE 3rd International Conference on (pp. 13-18). IEEE.
Hussain, S., Khan, B.U.I., Anwar, F. and Olanrewaju, R.F., 2018. Secure annihilation of out-of-band authorization for online transactions. Indian Journal of Science and Technology, 11(5), pp.1-9.
Islam, S.H. and Biswas, G.P., 2011. A more efficient and secure ID-based remote mutual authentication with key agreement scheme for mobile devices on elliptic curve cryptosystem. Journal of Systems and Software, 84(11), pp.1892-1898.
Jain, A.K., Ross, A. and Pankanti, S., 2006. Biometrics: a tool for information security. IEEE transactions on information forensics and security, 1(2), pp.125-143.
Jee, H.K., Jung, S.U. and Yoo, J.H., 2006. Liveness detection for embedded face recognition system. International Journal of Biological and Medical Sciences, 1(4), pp.235-238.
Khan, B.U.I., Baba, A.M., Olanrewaju, R.F., Lone, S.A. and Zulkurnain, N.F., 2015, August. SSM: Secure-Split-Merge data distribution in cloud infrastructure. In Open Systems (ICOS), 2015 IEEE Conference on (pp. 40-45). IEEE.
Khan, B.U.I., Olanrewaju, R.F., Baba, A.M., Langoo, A.A. and Assad, S., 2017. A compendious study of online payment systems: Past developments, present impact, and future considerations. International Journal of Advanced Computer Science and Applications, 8(5), pp.256-71.
Kizza, J.M., 2007. Ethical and social issues in the information age (Vol. 999). Springer.
Kumar, S., Singh, S.K., Singh, R.S., Singh, A.K. and Tiwari, S., 2017. Real-time recognition of cattle using animal biometrics. Journal of Real-Time Image Processing, 13(3), pp.505-526.
Lovisotto, G., Malik, R., Sluganovic, I., Roeschlin, M., Trueman, P. and Martinovic, I., 2017. Mobile biometrics in financial services: A five factor framework. Technical Report CS-RR-17-03, Oxford University.
Määttä, J., Hadid, A. and Pietikäinen, M., 2011, October. Face spoofing detection from single images using micro-texture analysis. In Biometrics (IJCB), 2011 international joint conference on (pp. 1-7). IEEE.
Marshall, B.K., 2007. Tips for Avoiding Bad Authentication Challenge Questions. White Paper.
Masihuddin, M., Khan, B.U.I., Mattoo, M.M.U.I. and Olanrewaju, R.F., 2017. A survey on e-payment systems: elements, adoption, architecture, challenges and security concepts. Indian Journal of Science and Technology, 10(20), pp. 1-19.
McQuiggan, S., McQuiggan, J., Sabourin, J. and Kosturko, L., 2015. Mobile learning: A handbook for developers, educators, and learners. John Wiley & Sons.
McWaters R. 2016. A Blueprint for Digital Identity. World Economic Forum.
Mehraj, T., Rasool, B., Khan, B.U.I., Baba, A. and Lone, A.G., 2015. Contemplation of effective security measures in access management from adoptability perspective. International Journal of Advanced Computer Science and Applications, 6(8), pp.188-200.
Meng, W., Wong, D.S., Furnell, S. and Zhou, J., 2015. Surveying the development of biometric user authentication on mobile phones. IEEE Communications Surveys & Tutorials, 17(3), pp.1268-1293.
Mir, M.S., Suhaimi, M.B.A., Khan, B.U.I., Mattoo, M.M.U.I. and Olanrewaju, R.F., 2017. Critical Security Challenges in Cloud Computing Environment: An Appraisal. Journal of Theoretical & Applied Information Technology, 95(10), pp 2234-2248.
Narayanan, A. and Shmatikov, V., 2005, November. Fast dictionary attacks on passwords using time-space tradeoff. In Proceedings of the 12th ACM conference on Computer and communications security (pp. 364-372). ACM.
Nguyen, N.C., Bosch, O.J., Ong, F.Y., Seah, J.S., Succu, A., Nguyen, T.V. and Banson, K.E., 2016. A systemic approach to understand smartphone usage in Singapore. Systems Research and Behavioral Science, 33(3), pp.360-380.
Ockenden W. AM - eBay suffers catastrophic data breach in hack attack 22/05/2014 [Online]. Abc.net.au. 2014. http://www.abc.net.au/am/content/2014/s4009539.htm [Accessed 30 April 2018].
Olanrewaju, R.F., Khan, B.U.I., Baba, A., Mir, R.N. and Lone, S.A., 2016, July. RFDA: Reliable framework for data administration based on split-merge policy. In SAI Computing Conference (SAI), 2016 (pp. 545-552). IEEE.
Olanrewaju, R.F., Khan, B.U.I., Mattoo, M.M.U.I., Anwar, F., Nordin, A.N.B. and Mir, R.N., 2017a. Securing electronic transactions via payment gateways–a systematic review. International Journal of Internet Technology and Secured Transactions, 7(3), pp.245-269.
Olanrewaju, R.F., Khan, B.U.I., Mattoo, M.M.U.I., Anwar, F., Nordin, A.N.B., Mir, R.N. and Noor, Z., 2017b. Adoption of Cloud Computing in Higher Learning Institutions: A Systematic Review. Indian Journal of Science and Technology, 10(36), pp.1-19.
Osseiran, A., Monserrat, J.F. and Marsch, P. eds., 2016. 5G mobile and wireless communications technology. Cambridge University Press.
Pampori, B.R., Mehraj, T., Khan, B.U.I., Baba, A.M. and Najar, Z.A., 2018. Securely eradicating cellular dependency for e-banking applications. International Journal of Advanced Computer Science and Applications (IJACSA), 9(2), pp.385-398.
Pan, G., Sun, L., Wu, Z. and Lao, S., 2007. Eyeblink-based anti-spoofing in face recognition from a generic webcamera.
Ratha, N.K., Connell, J.H. and Bolle, R.M., 2001, June. An analysis of minutiae matching strength. In International Conference on Audio-and Video-Based Biometric Person Authentication (pp. 223-228). Springer, Berlin, Heidelberg.
Rathgeb, C. and Uhl, A., 2011. A survey on biometric cryptosystems and cancelable biometrics. EURASIP Journal on Information Security, 2011(1), p.3.
Reid, A.S., 2018. Financial Crime in the Twenty-First Century: The Rise of the Virtual Collar Criminal. In White Collar Crime and Risk (pp. 231-251). Palgrave Macmillan, London.
Ross, A.A., Nandakumar, K. and Jain, A.K., 2008. Handbook of biometrics. US: Springer.
Sadeghi, A.R., Schneider, T. and Wehrenberg, I., 2009, December. Efficient privacy-preserving face recognition. In International Conference on Information Security and Cryptology (pp. 229-244). Springer, Berlin, Heidelberg.
Smith, D.F., Wiliem, A. and Lovell, B.C., 2015. Face recognition on consumer devices: Reflections on replay attacks. IEEE Transactions on Information Forensics and Security, 10(4), pp.736-745.
Statista, Smartphone OS market share forecast 2014-2022 | Statistic, 2018. [Online]. Available: https://www.statista.com/statistics/272307/market-share-forecast-for-smartphone-operating-systems/. [Accessed: 30- April- 2018].
Singh, A.K., Kumar, B., Dave, M., Ghrera, S.P. and Mohan, A., 2016. Digital image watermarking: techniques and emerging applications. In Handbook of research on modern cryptographic solutions for computer and cyber security (pp. 246-272). IGI Global.
Singh, A.K., Kumar, B., Singh, G. and Mohan, A. eds., 2017. Medical image watermarking: techniques and applications. Springer.
Téllez, J. and Zeadally, S., 2017. Mobile Payment Systems: Secure Network Architectures and Protocols. Springer.
Teo, C.C. and Neo, H.F., 2017, May. Behavioral Fingerprint Authentication: The Next Future. In Proceedings of the 9th International Conference on Bioinformatics and Biomedical Technology (pp. 1-5). ACM.
Yang, Y., Sun, J.S., Zhang, C. and Li, P., 2015, October. Retraining and Dynamic Privilege for Implicit Authentication Systems. In Mobile Ad Hoc and Sensor Systems (MASS), 2015 IEEE 12th International Conference on (pp. 163-171). IEEE.
Zhao, Z., Dong, Z. and Wang, Y., 2006. Security analysis of a password-based authentication protocol proposed to IEEE 1363. Theoretical Computer Science, 352(1-3), pp.280-287.
Acknowledgments
This work was partially supported by Ministry of Higher Education Malaysia (Kementerian Pendidikan Tinggi) under Research Initiative Grant Scheme number: RIGS16-334-0498.
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Mehraj, T., Khan, B.U.I., Olanrewaju, R.F., Anwar, F., Jusoh, A.Z.B. (2019). An Adaptive and Viable Face Identification for Android Mobile Devices. In: Singh, A., Mohan, A. (eds) Handbook of Multimedia Information Security: Techniques and Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-15887-3_13
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