• Title/Summary/Keyword: Cyber Genome

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Cyber Genome Technology for Countering Malware (악성코드 대응을 위한 사이버게놈 기술동향)

  • Kim, J.H.;Kim, H.J.;Kim, I.K.
    • Electronics and Telecommunications Trends
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    • v.30 no.5
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    • pp.118-128
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    • 2015
  • 최근 인터넷을 기반으로 사이버상에서 개인정보 유출, 금융사기, Distributed Denial of Service(DDoS) 공격, Advanced Persistent Threat(APT) 공격 등 사이버 위협이 지속적으로 발생하고 있으며, 공격의 형태는 다양하지만 모든 공격에는 악성코드가 원인이 되고 있다. 또한 기하급수적으로 증가하는 강력한 사이버 공격에 대처하기 위해 사전에 이를 방어 할 수 있는 적극적인 방어 기술이 요구되고 있다. 본고에서는 사이버공격 대응을 위하여 새로운 악성코드 탐지기술로 최근 관심을 받고 있는 사이버게놈 기술에 대한 개념과 국내외 관련 기술 및 연구동향에 대하여 살펴본다.

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Privacy-Preserving DNA Matching Protocol (프라이버시를 보호하는 DNA 매칭 프로토콜)

  • Noh, Geontae
    • Journal of Internet Computing and Services
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    • v.19 no.2
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    • pp.1-7
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    • 2018
  • Due to advances in DNA sequencing technologies, its medical value continues to grow. However, once genome data leaked, it cannot be revoked, and disclosure of personal genome information impacts a large group of individuals. Therefore, secure techniques for managing genomic big data should be developed. We first propose a privacy-preserving inner product protocol for large data sets using the homomorphic encryption of Gentry et al., and then we introduce an efficient privacy-preserving DNA matching protocol based on the proposed protocol. Our efficient protocol satisfies the requirements of correctness, confidentiality, and privacy.

TcellInflamedDetector: an R package to distinguish T cell inflamed tumor types from non-T cell inflamed tumor types

  • Yang, San-Duk;Park, Hyun-Seok
    • Genomics & Informatics
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    • v.20 no.1
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    • pp.13.1-13.4
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    • 2022
  • A major issue in the use of immune checkpoint inhibitors is their lack of efficacy in many patients. Previous studies have reported that the T cell inflamed signature can help predict the response to immunotherapy. Thus, many studies have investigated mechanisms of immunotherapy resistance by defining the tumor microenvironment based on T cell inflamed and non-T cell inflamed subsets. Although methods of calculating T cell inflamed subsets have been developed, valid screening tools for distinguishing T cell inflamed from non-T cell inflamed subsets using gene expression data are still needed, since general researchers who are unfamiliar with the details of the equations can experience difficulties using extant scoring formulas to conduct analyses. Thus, we introduce TcellInflamedDetector, an R package for distinguishing T cell inflamed from non-T cell inflamed samples using cancer gene expression data via bulk RNA sequencing.

Applying CBR algorithm for cyber infringement profiling system (사례기반추론기법을 적용한 침해사고 프로파일링 시스템)

  • Han, Mee Lan;Kim, Deok Jin;Kim, Huy Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.6
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    • pp.1069-1086
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    • 2013
  • Nowadays, web defacement becomes the utmost threat which can harm the target organization's image and reputation. These defacement activities reflect the hacker's political motivation or his tendency. Therefore, the analysis of the hacker's activities can give the decisive clue to pursue criminals. A specific message or photo or music on the defaced web site and the outcome of analysis will be supplying some decisive clues to track down criminals. The encoding method or used fonts of the remained hacker's messages, and hacker's SNS ID such as Twitter or Facebook ID also can help for tracking hackers information. In this paper, we implemented the web defacement analysis system by applying CBR algorithm. The implemented system extracts the features from the web defacement cases on zone-h.org. This paper will be useful to understand the hacker's purpose and to plan countermeasures as a IDSS(Investigation Detection Support System).

A Comparative Analysis of Bioinformation Website Services (생명정보 분야 웹사이트 서비스에 대한 비교.분석에 관한 연구)

  • Ahn, Bu-Young;Lee, Eung-Bong
    • Journal of Information Management
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    • v.40 no.1
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    • pp.157-181
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    • 2009
  • As the information technology is evolved and the human genome project is finalized over the world, the Bioinformatics - the integration of abundant Biological science and information technology - has shown up and is continuously being advanced. Together with the evolution of Bioinformatics, the websites dealing with Bioinformation have been set up to provide relevant information to the Bioscientists. Among the numerous global websites, the preferred websites by the majority of domestic Bioscientists are BRIC (Biological Research Information Center) of POSTECH(Pohang University of Science and Technology) in Korea, CCBB(Center for Computational Biology and Bioinformatics) of KISTI(Korea Institute of Science and Technology Information), KOBIC(Korean Bioinformation Center) of KRIBB(Korea Research Institute of Bioscience and Biotechnology), NCBI(National Center for Biotechnology Information) in USA, EBI(European Bioinformatics Institute) in Europe and DDBJ(DNA Data Bank of Japan) in Japan. In this paper, the comparative analysis was executed by investigating contents status and functions of the above-mentioned 6 websites. In addition, questionnaire survey of Bioscience Researchers' utilization status and their needs to those 6 websites was conducted.

Possibility of Epigenetic Phenomenon of the three Major Famine and 4.3 Incident in Jeju (제주 3대 대(大)기근과 4.3사건의 후성유전(後成遺傳)(Epigenetic)현상 개연성)

  • Lee, Moon Ho;Kim, Jeong Su
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.2
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    • pp.45-52
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    • 2019
  • The human genome project decoded 99% of human genes for $ 3 billion by 1990-2003. However, as many studies on genes have progressed, it has become clear that there are many cases where diseases occur without structural alteration of genes. The latest study, Epigenetics, has come up with the answer to this problem. The famine that hit Jeju until 1670-1795, the ban on the exclusion of Jeju Island to the outside 200 years of suffering, and in 1948, one third of the citizens were killed by the 4.3 incident generate Epigenetic. It has been shown in the world history science that starving-stress can be manifested as obesity and disease in progeny due to hereditary phenomena. 5G-based healthcare IoT technology can be used for the treatment of obesity by enabling Epigenetic analysis of this phenomenon.