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웹 애플리케이션 취약점 분석을 위한 비용 효과적인 능동 보안 검수 프레임워크
한경현 ( Kyunghyun Han ),( Trong-kha Nguyen ),조훈 ( Hun Joe ),황성운 ( Seong Oun Hwang ),임채호 ( Chaeho Lim ) 한국정보처리학회 2016 정보처리학회논문지. 컴퓨터 및 통신시스템 Vol.5 No.8
많은 기업들은 웹 취약점 관리에 어려움을 겪고 있으며, 보안 사고도 자주 발생하고 있다. 현재는 OWASP 취약점에 기반을 둔 점검도구로 검수를 진행한다. 하지만 현재의 보안 검수는 웹 애플리케이션의 잦은 변화에 현실적으로 대응하기 어려운 실정이다. 본 연구에서는 먼저 기존 취약점 수치화 연구와 검수 프로세스를 검토하였다. 이에 기반을 두어 현실적이며 필수적인 주요 취약점 제거와 능동적인 검수프로세스에 바탕을 둔 개선된 검수 프레임워크를 제안한다. Many companies have struggled to manage Web vulnerabilities and security incidents have also frequently happened. The current inspection methods are mainly based on the OWASP vulnerabilities. In practice, however, it is very difficult to cope with frequent changes of Web applications. In this paper, we first investigate the existing quantification of Web application vulnerabilities and verification process. Then we propose an improved inspection framework which is focused on removing essential and realistic vulnerabilities and active verification process.
한경현,황성운,Han, KyungHyun,Trang, Hoang Thi Huyen,Hwang, Seong Oun 한국사물인터넷학회 2017 한국사물인터넷학회 논문지 Vol.3 No.1
현대의 컴퓨터는 여러 프로세스를 처리해야 한다. 운영체제에서는 소수의 CPU로 많은 프로세스를 처리하기 위해서 스케줄링을 이용한다. 스케줄링의 종류에는 FCFS, SJF, RR이 있다. 이 중 RR은 최대 할당 시간을 정해야 한다. 본 논문에서는 최적의 최대 할당 시간을 찾기 위해 특정 샘플에 대해 GLM 알고리즘으로 분석하였다. 이 분석방법을 통해 원하는 조건에 따른 최대 할당 시간을 지정할 수 있다. Modern computers have to deal with multiple processes. The operating system uses scheduling to handle many processes with a small number of CPUs. Types of scheduling include FCFS, SJF, and RR. Of these, RR shall determine the maximum allocation time. In this paper, we analyzed the GLM algorithm for specific samples to find the optimal maximum allocation time. This analysis method allows us to specify the maximum allocation time according to the desired conditions.
한경현,황성운,Han, KyungHyun,Hwang, Seong Oun 한국사물인터넷학회 2022 한국사물인터넷학회 논문지 Vol.8 No.5
Anonymous networks are designed to protect information and communication by avoiding monitoring or tracking traffic. In recent years, however, cybercriminals have evaded law enforcement tracking by exploiting the characteristics of anonymous networks. In this paper, we investigate related research focusing on Tor, one of the anonymous networks. This paper introduces how Tor provides anonymity, and how tracing technologies can track users against Tor. In addition, we compare and analyze tracing techniques, and explain how a researcher can establish an experimental environment.
알루미늄과 마그네슘 첨가가 용융아연 도금강판 도금층의 미세조직과 경도에 미치는 영향
성윤제 ( Yoonje Sung ),김동규 ( Donggyu Kim ),서준기 ( Jungi Seo ),한경현 ( Kyunghyun Han ),홍범기 ( Beomki Hong ),김강민 ( Kangmin Kim ),허성욱 ( Seounguk Heo ),박성현 ( Seonghyun Park ),임재택 ( Jae-taek Im ),손승배 ( Seung Bae 한국열처리공학회 2023 熱處理工學會誌 Vol.36 No.4
We investigated the effects of Al and Mg on the microstructure and hardness of the coating layer of galvanized steel sheets, by thermodynamic calculations, X-ray diffraction, scanning electron microscopy, and Vickers hardness tests of Zn-0.2Al, Zn-6Al-2Mg, and Zn-10Al-5Mg coating layers. Regardless of the alloy composition of the galvanizing bath, a Fe-Al layer was observed between the coating layer and steel sheet. The Zn- 0.2Al coating layer consists of major h.c.p. Zn phase and minor f.c.c. Al phase. The fraction of f.c.c. Al phase (containing a significant amount of Zn) of the coating layer increases with increasing the chemical composition of Al of the galvanizing bath. The h.c.p. MgZn<sub>2</sub> phase was formed in the Al/Mg-containing Zn-6Al-2Mg and Zn-10Al- 5Mg coating layers, forming Zn-Al-MgZn<sub>2</sub> eutectic microstructure. The primary MgZn<sub>2</sub> phase was additionally formed in the Zn-10Al-5Mg coating layers containing high concentrations of Al and Mg. The Vickers hardness values of Zn-0.2Al, Zn-6Al-2Mg, and Zn-10Al-5Mg coating layers were 59.1 ± 1.2 HV, 161.2 ± 5.7 HV, and 215.5 ± 40.3 HV, respectively. The addition of Al and Mg increased the hardness of the coating layer by increasing the fraction of the Al phase (containing Zn) and MgZn<sub>2</sub> intermetallic compound, which were harder than the Zn phase. (Received June 7, 2023; Revised July 11, 2023; Accepted July 20, 2023)