학술지

Korea Association For Aviation Security

학술지 논문검색

논문검색

한국항공보안학회지 : ISSN 2713-3702

한국항공보안학회지, (2024)
pp.9~17

DOI : 10.22930/kafas.2024.6.1.009

- AI 보안검색 자동판독 기술개발을 위한 효율적인 데이터베이스 분류체계 제안 -

이용강

(한서대학교, 항공보안학과 부교수)

소대섭

(한서대학교, 항공보안학과 부교수)

If the classification system currently used to develop artificial intelligence security search automatic reading technology is used, problems such as data integrity, security, and quick decision-making using data may occur. Using the newly proposed 10-digit classification system, first, it is possible to quickly find and analyze necessary information using systematically structured data. Since it is possible to register data objectively according to the classification system from the time it is registered, the performance of analysis and processing on stored data is improved and time and cost are reduced. In addition, detailed trends by data can be compared and analyzed through continuous management. Second, data consistency, integrity, and security can be improved. Consistency can be maintained in data input because data is stored according to a specific category, and security can be strengthened by limiting access to sensitive or security-requiring data belonging to a specific category. As a result, it is possible to improve the efficiency of database algorithms, and ultimately, the accuracy and speed of product search will be improved by assisting search personnel in security search using AI X-ray.

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