IT-Based Financial Confirmation & Diagnosis Mechanisms

【Author】 Mihai, Razvan; Nyberg, Tom Einar; Michaelsen, Einar; Rizea-Popp, Ioana; Dascalu, Monica; Stefan, Gheorghe M.

【Source】ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY

【影响因子】0.852

【Abstract】The increasing complexity and dynamics of the financial domain impose appropriate tools to keep transactions efficient and secure. We propose to use a new technology, BlockChain (BC), and a revived technology, Artificial Intelligence (AI), to build IT-based tools for financial confirmation and diagnosis. We describe first the mechanisms for both, confirmation and diagnosis. Then, the type of computation involved is analysed. The two technologies involved in our proposal, BC and AI, are computationally intensive. The time and energy involved cannot be minimized using off-the-shelf solutions. Finally, the architectural environment for an efficient implementation is proposed and evaluated. The paper represents the description of our proposed approach to solve critical problems affecting the current financial systems.

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【发表时间】2019

【收录时间】2022-01-02

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