• 한국군사과학기술학회지
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• 제25권4호
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• pp.390-400
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• 2022

Military deception is an action executed to deliberately mislead enemy's decision by deceiving friendly forces intention. In the lessons learned from war history, deception appears to be a critical factor in the battlefield for successful operations. As training using war-game simulation is growing more important, it is become necessary to implement military deception in war-game model. However, there is no logics or rules proven to be effective for CGF(Computer Generated Forces) to conduct deception behavior automatically. In this study, we investigate methodologies for CGF to learn and conduct military deception using Reinforcement Learning. The key idea of the research is to define a new criterion called a "deception index" which defines how agent learn the action of deception considering both their own combat objectives and deception objectives. We choose Korea Marine Corps Amphibious Demonstrations to show applicability of our methods. The study has an unique contribution as the first research that describes method of implementing deception behavior.

• International Journal of Computer Science & Network Security
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• 제24권7호
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• pp.101-107
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• 2024

Cloud computing is a widely used technology that has changed the way people and organizations store and access information. This technology is quite versatile, which is why extensive amounts of data can be stored in the cloud. Furthermore, businesses can access various services over the cloud without having to install applications. However, the cloud computing services are provided over a public domain, which means that both trusted and non-trusted users can access the services. Though there are several advantages of cloud computing services, especially to business owners, various challenges are also posed in terms of the privacy and security of information and online services. A kind of threat that is widely faced in the cloud environment is the on/off attack. In this kind of attack, a few entities exhibit proper behavior for a given time period to develop a highly a positive reputation and gather trust, after which they exhibit deception. A viable solution is provided by the given trust model for preventing the attacks. This method works by providing effective security to the cloud services by identifying malicious and inappropriate behaviors through the application of trust algorithms that can identify on-off attacks.

• 경영과정보연구
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• 제36권4호
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• pp.103-116
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• 2017

본 연구의 목적은 서비스 산업에서 고객의 '블랙컨슈머 행동'을 지각한 종사원이 조직에 미치는 부정적 행동인 '조직일탈행동'에 미치는 영향과 조직내 '격려'의 조절효과를 분석을 통해 관리적 시사점의 제공이다. 특히, Adler(1991)는 격려가 개인의 인지적 도식 틀에 긍정적 기대를 주입하는 것으로 인지, 정서, 행동에 긍정적 영향을 미친다고 주장(Dinkmeyer and Losoncy, 1996)하였다. 이러한 Adler(1991) 주장을 근거로 고객의 블랙컨슈머 행동을 지각한 노동자의 반응행동에 대한 격려의 조절효과를 실증적으로 분석하였다. 선행연구를 바탕으로 블랙컨슈머 행동, 조직일탈행동, 격려에 대한 연구모형을 설계하였다. 2015년 11월 15일부터 12월 3일까지 부산지역 호텔, 카지노, 면세점 그리고 외식 서비스 종사원 323명을 대상으로 설문지를 배포하였다. 그 중 279부를 회수(회수율은 86.4%)하였고, 회수된 설문지 중에서 무성의한 응답 또는 무응답이 많은 부실응답 설문지를 제외하여 262부를 최종 분석에 사용하였다. 실증분석 결과 블랙컨슈머 행동은 조직일탈행동에 유의한 영향을 미치고, 격려는 블랙컨슈머 행동 중 과도성과 조직일탈행동에 대한 유의적인 조절효과가 있다는 결과를 확인할 수 있었다. 이러한 실증분석 결과를 바탕으로 블랙컨슈머에 노출된 서비스 노동자에 대한 관리적 시사점을 제공하였다.