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- 저자 : 이종관, 김용덕 (검색결과 354 건)
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이종관 보안공학연구지원센터 2018 보안공학연구논문지 Vol.15 No.5
In this paper, I propose a cryptography system to conceal photograph data captured by an unmanned aerial vehicles (UAV), even though the enemy takes the UAV that fallen in an accident or the data communications between the UAV and the ground control system (GCS) are exposed to the enemy. The photograph data should be concealed because it could expose the reconnaissance and operational intentions if leaked to the enemy. The proposed system encrypts each photograph data with the hash value of the photograph data. The hash value is encrypted with public key of the GCS and added to the header part of the photograph data. It is impossible to decrypt the encrypted photograph data without private key of the GCS. I analyze the security of the proposed system under two cases; 1) the enemy takes the UAV and 2) the signal between UAV and GCS is exposed to the enemy. I verified that the proposed system efficiently conceals the photograph data. 본 논문은 무인항공기가 불의의 사고로 추락하여 적에게 수거되거나 지상통제소와의 통신과정에서 신호가 도·감청되더라도 무인항공기가 촬영했던 정보가 적에게 노출되지 않는 암호 시스템을 제안한다. 무인항공기가 촬영했던 정보가 적에게 유출되면 아군의 정찰 및 작전의도가 노출될 수 있기 때문에 무인항공기의 영상 정보는 은닉되어야 한다. 제안하는 시스템은 촬영 영상별 해쉬값을 암호키로 사용하여 영상정보를 암호화한다. 암호키는 공개키 방식으로 암호화되어 각 영상의 헤더에 저장된다. 따라서 지상통제소에 저장되어 있는 개인키가 없다면 영상 정보를 복호화할 수 없다. 제안하는 시스템을 무인항공기가 적에게 수거되었을 경우와 무인항공기와 지상통제소간의 정보교환이 도·감청된 경우에 대해 분석한 결과 영상 정보를 효과적으로 은닉할 수 있음을 확인하였다.
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전술 군집 드론 네트워크를 위한 중앙집권식 그룹키 관리 기법
이종관,신규용,김경민 한국군사과학기술학회 2018 한국군사과학기술학회지 Vol.21 No.6
Recently, drones have been used in various field to overcome time and space limitations. However, single drone still has a lot of restriction on transportation wight and travel time. Therefore many studies have been conducted to increase the utilization by swarm of drones. Many things should be additionally considered in order to operate swarming drones securely. Especially the group key management is a challenging research topic in tactical domain due to existence of adversary that has anti-drone skill. In this paper, we proposed an efficient group key management scheme for tactical swarming drone networks where an adversary equipped with anti-drone skills exists. The group key can be updated with a small number of message exchange compared to other convenience schemes. The numerical and simulation results demonstrate that the proposed scheme manages the group key efficiently and securely.
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Association of Bovine CSRP3 and ACOX1 Genes with Carcass and Meat Quality Traits
이종관,조용민,이준헌,Lee, Jong-Kwan,Cho, Yong-Min,Lee, Jun-Heon Institute of Agricultural Science 2010 Korean Journal of Agricultural Science Vol.37 No.2
There is no investigation has yet been conducted for ACOX1 and CSRP3 gene polymorphisms in Korean cattle (Hanwoo), and their associations with carcass and meat quality traits. In this study, SNPs in ACOX1 and CSRP3 genes were identified and their associations with carcass and meat quality traits were investigated in 227 Hanwoo animals. Two SNPs (g.224G> A and g.19491G>A) in ACOX1 gene and one SNP (g.14859C>T) in CSRP3 gene were identified in Hanwoo and sequence analysis indicated that these SNPs were located in the coding regions. The allele frequencies of ACOX1 g.224G>A and g.19491G>A SNPs were 0.57, 0.43, and 0.56 and 0.44, respectively, For CSRP3 g.14859C>T polymorphism, the C and T allele frequencies were 0.64 and 0.36, respectively. The Hanwoo cattle were used to detect PCR-RFLP patterns for estimating the allele frequencies. Single marker association analyses were performed between genotype of each SNP, and carcass and meat quality association traits to evaluate the relationships in Hanwoo. The g.224G>A SNP genotypes of ACOX1 gene, which was significantly associated with meat quantity grade at slaughter (P<0.03) and backfat thickness tended to be greater (P=0.06) in Hanwoo. The previously identified g.14859C>T SNP was used in this study and the obtained genotype and allele frequencies are almost similar with the previous results reported by Bhuiyan et al. (2007). However, no significant association was found between g.19491G>A SNP in the ACOX1 and g.14859C>T SNP genotypes of CSRP3 gene and considered carcass and meat quality traits. In conclusion, the information on the identified SNPs in CSRP3 and ACOX1 genes could be useful for further association study and haplotype analysis for the development of carcass and meat quality traits in Hanwoo.
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전장상황에서 이상징후 분석을 위한 인공지능 모델 개발동향 및 발전방향 연구
이종관,이종덕,박정규,이형근,안종철,신상헌,문호원,김상민,김병주 한국디지털콘텐츠학회 2023 한국디지털콘텐츠학회논문지 Vol.24 No.3
Artificial intelligence (AI) technology is advancing to the level of completely replacing humans beyond the level of simply assisting them. Research on exploiting such AI technology for military purposes is attracting significant attention, especially for situational awareness, to understand the complex and ambiguous battlefield better than human staff. This study describes the research trend of an AI model that analyzes military anomalies and proposes future development directions. To this end, we investigate the current military information analysis process which is mainly performed by human combatants and analyze various errors that may occur during the process. Also, this work reviews the current AI model developments in advanced military countries. Finally, technical and policy guidance is provided for developing a successful anomaly analysis model on the battlefield. 인공지능 기술은 인간을 보조하여 임무수행의 효율성을 단순히 제고시키는 수준을 넘어 인간을 완전히 대체하는 수준으로까지 발전해 나가고 있다. 이러한 인공지능 기술을 군사적 목적으로 활용하기 위한 연구가 크게 주목 받고 있다. 특히 복잡하고 모호한 전장상황을 인간 참모 수준 이상으로 이해하는 기술에 대한 연구가 군사선진국을 중심으로 진행 중이다. 본 논문은 군사적 이상징후를 분석하는 인공지능 모델 연구동향을 분석하고 발전방향을 제시한다. 이를 위해 현재 전투원 중심으로 수행되고 있는 일반적인 군사정보 분석 절차를 살펴보고, 이 과정에서 발생할 수 있는 다양한 유형의 오류들을 분석한다. 또한, 군사선진국에서 진행 중인 인공지능 모델 개발 프로그램 현황을 분석한다. 이를 바탕으로 성공적인 전장상황 이상징후 분석 모델 개발을 위한 기술적, 정책적 발전방향을 제시한다.
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