임무변수 기반 국방 드론 유통정보 분류 방안

Abstract

Drones are being utilized as a core asset of the manned·unmanned joint combat system in Defense Innovation 4.0, and are being utilized for various military missions such as reconnaissance, surveillance, identification, communication relay, and strike missions. In particular, they contribute to maximizing the operational efficiency of the military, and due to their importance and efficiency, they are evaluated as a key element in strengthening defense capabilities. However, as the use of military drones accelerates, concerns about the security of data produced and distributed through drones are also increasing. In particular, defense drone information is not simply data, but includes various important information such as military deployment, terrain, weather, and civilian factors, so information leakage can pose a threat to national security. Currently, the military law system sets out the classification criteria for source information and analysis/evaluation information in the National Defense Security Ordinance, but the criteria are ambiguous and are applied uniformly, which limits the systematic judgment in practice. Therefore, this paper attempted to present a specific method for judging whether data generated and transmitted from drones is confidential data. In order to increase the effectiveness of data classification, it is necessary to be able to judge whether the purpose of the mission has been achieved and its importance. To this end, the scope of arbitrary judgment of practitioners was minimized by applying the mission variables (METT+TC), which are tactical considerations.