Abstract
In any online banking system the major concern is to achieve ultimate security and privacy of customer’s personal information or transactions being carried out in addition to some other banking services. Unfortunately, with the day-by-day advancements in technology, it has become really challenging to withstand such security breaches as banks are the holders of very sensitive data that can cause havocs if misused. At present, modern encryption techniques are said to be sufficient to secure information but still there is a need to enhance these encryption techniques as these are uncertain in providing unconditional security causing some communication security issues. In this paper we have proposed quantum solution to address such security issues by engaging AI. By replacing SSL or SET connections having classical encryption techniques with the quantum cryptographic security systems, privacy and authenticity of data can be ensured and will minimize the chances of attacks. Features of AI like fuzzy logic and knowledge-base are also exploited. By the combination of the two, a robust and responsive security model for E-Banking is proposed.
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Hassan, T., Ahmed, F. (2019). Transaction and Identity Authentication Security Model for E-Banking: Confluence of Quantum Cryptography and AI. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_29
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DOI: https://doi.org/10.1007/978-981-13-6052-7_29
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