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Designing Mutual Cooperation Security Model for IP Spoofing Attacks about Medical Cluster Basis Big Data Environment  

An, Chang Ho ((사)전국지방의료원연합회 기획운영부)
Baek, Hyun Chul (경남도립남해대학 스마트융합정보과)
Seo, Yeong Geon (경상대학교 컴퓨터과학과)
Jeong, Won Chang (진주보건대학 복지행정계열)
Park, Jae Heung (경상대학교 컴퓨터과학과)
Publication Information
Convergence Security Journal / v.16, no.7, 2016 , pp. 21-29 More about this Journal
Abstract
Our society is currently exposed to environment of various information that is exchanged real time through networks. Especially regarding medical policy, the government rushes to practice remote medical treatment to improve the quality of medical services for citizens. The remote medical practice requires establishment of medical information based on big data for customized treatment regardless of where patients are. This study suggests establishment of regional medical cluster along with defense and protection cooperation models that in case service availability is harmed, and attacks occur, the attacks can be detected, and proper measures can be taken. For this, the study suggested forming networks with nationwide local government hospitals as regional virtual medical cluster bases by the same medical information system. The study also designed a mutual cooperation security model that can real time cope with IP Spoofing attack that can occur in the medical cluster and DDoS attacks accordingly, so that the limit that sole system and sole security policy have can be overcome.
Keywords
Big Data; Security; Cloud Computing; Encryption; Traceback; Telemedicine; IPSpoofing; DDoS;
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