중심-주변 모델 기반 네트워크 분석을 활용한 모빌리티 사이버보안 주요 기술 분야 발굴

초록

The growing importance of cybersecurity in the mobility industry has become increasingly evident with the advancement of intelligent systems. While innovations in data technologies and artificial intelligence enable enhanced autonomy, they also introduce new security vulnerabilities, including the risk of adversarial attacks and privacy breaches. This study presents an approach to discovering key technologies and emerging research trends in mobility cybersecurity through big data analysis of academic bibliographies. The proposed method includes constructing a keyword co-occurrence network from the academic literature, with co-occurrence frequencies serving as edge weights to measure keyword associations. Using a core-periphery model, specifically k-core decomposition, we identify structurally significant core nodes and less connected peripheral nodes, highlighting foundational concepts and emerging technological opportunities. Our findings provide a comprehensive understanding of critical mobility cybersecurity technologies, and offer strategic insights to guide future research and innovation in the field.

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