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http://dx.doi.org/10.17662/ksdim.2018.14.2.011

A Probe Detection based on Private Cloud using BlockChain  

Lee, Seyul (청운대학교 컴퓨터공학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.14, no.2, 2018 , pp. 11-17 More about this Journal
Abstract
IDS/IPS and networked computer systems are playing an increasingly important role in our society. They have been the targets of a malicious attacks that actually turn into intrusions. That is why computer security has become an important concern for network administrators. Recently, various Detection/Prevention System schemes have been proposed based on various technologies. However, the techniques, which have been applied in many systems is useful for existing intrusion patterns on standard-only systems. Therefore, probe detection of private clouds using BlockChain has become a major security protection technology to detection potential attacks. In addition, BlockChain and Probe detection need to take into account the relationship between the various factors. We should develop a new probe detection technology that uses BlockChain to fine new pattern detection probes in cloud service security in the end. In this paper, we propose a probe detection using Fuzzy Cognitive Map(FCM) and Self Adaptive Module(SAM) based on service security using BlockChain technology.
Keywords
BlockChain; Fuzzy Cognitive Maps; Private Cloud; Probe Detection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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