• Title/Summary/Keyword: autonomous fraud detection

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Review the Recent Fraud Detection Systems for Accounting Area using Blockchain Technology

  • Rania Alsulami;Raghad Albalawi;Manal Albalawi;Hetaf Alsugair;Khaled A. Alblowi;Adel R. Alharbi
    • International Journal of Computer Science & Network Security
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    • v.23 no.5
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    • pp.109-120
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    • 2023
  • With the increasing interest in blockchain technology and its employment in diverse sectors and industries, including: finance, business, voting, industrial and many other medical and educational applications. Recently, the blockchain technology has played significant role in preventing fraud transactions in accounting systems, as the blockchain offers high security measurements, reduces the need for centralized processing, and blocks access to the organization information and system. Therefore, this paper studies, analyses, and investigates the adoption of blockchain technology with accounting systems, through analyzing the results of several research works which have employed the blockchain technology to secure their accounting systems. In addition, we investigate the performance of applying the deep learning and machine learning approaches for the purpose of fraud detection and classification. As a result of this study, the adoption of blockchain technology will enhance the safety and security of accounting systems, through identifying and classifying the possible frauds that may attack the accounting and business organizations.

Analysis of Korea's Artificial Intelligence Competitiveness Based on Patent Data: Focusing on Patent Index and Topic Modeling (특허데이터 기반 한국의 인공지능 경쟁력 분석 : 특허지표 및 토픽모델링을 중심으로)

  • Lee, Hyun-Sang;Qiao, Xin;Shin, Sun-Young;Kim, Gyu-Ri;Oh, Se-Hwan
    • Informatization Policy
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    • v.29 no.4
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    • pp.43-66
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    • 2022
  • With the development of artificial intelligence technology, competition for artificial intelligence technology patents around the world is intensifying. During the period 2000 ~ 2021, artificial intelligence technology patent applications at the US Patent and Trademark Office have been steadily increasing, and the growth rate has been steeper since the 2010s. As a result of analyzing Korea's artificial intelligence technology competitiveness through patent indices, it is evaluated that patent activity, impact, and marketability are superior in areas such as auditory intelligence and visual intelligence. However, compared to other countries, overall Korea's artificial intelligence technology patents are good in terms of activity and marketability, but somewhat inferior in technological impact. While noise canceling and voice recognition have recently decreased as topics for artificial intelligence, growth is expected in areas such as model learning optimization, smart sensors, and autonomous driving. In the case of Korea, efforts are required as there is a slight lack of patent applications in areas such as fraud detection/security and medical vision learning.