AntiPhiMBS: A New Anti-phishing Model to Mitigate Phishing Attacks in Mobile Banking System at Application Level

Author:

Thakur Tej NarayanORCID,Yoshiura NoriakiORCID

Publisher

Springer International Publishing

Reference30 articles.

1. Advances in Intelligent Systems and Computing;M Zahid Hasan,2019

2. Shankar, A., Shetty, R., Badrinath, K.: A review on phishing attacks. Int. J. Appl. Eng. Res. 14(9), 2171–2175 (2019)

3. Bojjagani, S., Brabin, D., Rao, V.: PhishPreventer: a secure authentication protocol for prevention of phishing attacks in mobile environment with formal verification. In: Thampi, S., Madria, S., Fernando, X., Doss, R., Mehta, S., Ciuonzo, D. (eds.) Third International Conference on Computing and Network Communications 2019, vol. 171, pp. 1110–1119. Elsevier B.V, Heidelberg (2020)

4. Aribake, F.O., Aji, Z.M.: Modelling the phishing avoidance behavior among internet banking users in Nigeria: the initial investigation. J. Comput. Eng. Technol. 4(1), 1–17 (2020)

5. Megha, N., Ramesh babu, K.R., Sherly, E.: An intelligent system for phishing attack detection and prevention. In: Proceedings of the Fourth International Conference on Communication and Electronics Systems, pp. 1577–1582. IEEE Xplore, Coimbatore, India (2019). https://doi.org/10.1109/icces45898.2019.9002204

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1. Security Analysis and Threat Modelling of Mobile Banking Applications;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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