Behavior and Biometrics Based Masquerade Detection Mobile Application

Author:

Chandrasekara Pranieth,Abeywardana Hasini,Rajapaksha Sammani,Parameshwaran Sanjeevan,Yapa Abeywardana Kavinga

Publisher

Springer International Publishing

Reference8 articles.

1. Ahirrao, S.A., Ballal, S.S., Sawant, D.K.: Android based remote surveillance system and content sharing between PC and mobile. Int. J. Comput. Appl. Technol. Res. 4, 153–156 (2015). http://ijcat.com/archives/volume4/issue2/ijcatr04021013.pdf

2. Basavaraju, P., Varde, A.S.: Supervised learning techniques in mobile device apps for androids. In: School on Machine Learning for Data Mining and Search, SIGIR/SIGKDD. ACM SIGKDD Explorations Newsletter (March 2017). https://dl.acm.org/doi/10.1145/3068777.3068782

3. Bhatti, H.J., Rad, B.B.: Databases in cloud computing. Int. J. Inf. Technol. Comput. Sci. 9(4), 9–17 (2017). https://www.researchgate.net/publication/315993485_Databases_in_Cloud_Computing

4. Farzad, T., Azam, A., Asadollah, S., Reza, E.A.: A comparison of lightweight databases in mobile systems. J. Comput. 3(7), 147–152 (2011). https://www.researchgate.net/publication/236969019_A_Comparison_of_Lightweight_Databases_in_Mobile_Systems

5. Kim, J., Kim, H., Kang, P.: Keystroke dynamics-based user authentication using freely typed text based on user-adaptive feature extraction and novelty detection. Appl. Soft Comput. J. (2018). https://doi.org/10.1016/j.asoc.2017.09.045

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1. Integration of IMEI, RSA, and Signature to Secure Communication in Mobile Applications;International Journal of Organizational and Collective Intelligence;2022-08-04

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