한국융합학회논문지 (Journal of the Korea Convergence Society)

  • 제6권4호
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  • Pages.243-248
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  • 2015
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  • 2233-4890(pISSN)
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  • 2713-6353(eISSN)
한국융합학회 (Korea Convergence Society)
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U-Healthcare 기기에서 DRDoS공격 보안위협과 Big Data를 융합한 대응방안 연구

A Study on Countermeasures of Convergence for Big Data and Security Threats to Attack DRDoS in U-Healthcare Device

  • 허윤아 (백석대학교 정보통신학부) ;
  • 이근호 (백석대학교 정보통신학부)
  • Hur, Yun-A (Division of Information and Communication, Baekseok University) ;
  • Lee, Keun-Ho (Division of Information and Communication, Baekseok University)
  • 투고 : 2015.06.15
  • 심사 : 2015.08.20
  • 발행 : 2015.08.31
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초록

U-Healthcare는 언제, 어디서나 환자의 건강을 검사하고 관리하며 유지할 수 있도록 하는 의료와 IT가 융합된 서비스이다. U-Healthcare 서비스에서 이루어지는 통신은 검진한 분석 결과나 긴급 데이터를 무선 통신방식을 이용하여 병원 서버에 전송하는 방식이 활용되고 있다. 이 때 악의적인 접근을 수행하는 자(공격자)가 U-Healthcare기기나 BS(Base Station)에 DRDoS(Distributed Reflection DoS)공격을 하면 위급한 환자의 상황 정보가 병원 서버까지 전송되지 않는 다양한 피해가 예상된다. 이를 대응하기 위해 DRDoS 공격 시나리오와 DRDoS에 대한 대응방안을 제안하고 대량의 패킷을 처리할 수 있는 빅데이터와 융합한다. 공격자가 U-Healthcare 기기나 BS(Base Station)를 공격 시 DB와 연동하여 일치하면 공격을 막는다. 본 논문은 원격의료 서비스인 U-Healthcare기기나 BS에서 나타날 수 있는 공격방법을 분석하고, 빅데이터를 활용하여 보안 위협에서의 대응방안을 제안한다.

U-Healthcare is a convergence service with medical care and IT which enables to examine, manage and maintain the patient's health any time and any place. For communication conducted in U-Healthcare service, the transmission methods are used that patient's medical checkup analysis results or emergency data are transmitted to hospital server using wireless communication method. At this moment when the attacker who executes the malicious access makes DRDoS(Distributed Reflection DoS) attack to U-Healthcare devices or BS(Base Station), various damages occur that contextual information of urgent patients are not transmitted to hospital server. In order to deal with this problem, this study suggests DRDoS attack scenario and countermeasures against DRDoS and converges with Big Data which could process large amount of packets. When the attacker attacks U-Healthcare devices or BS(Base Station), DB is interconnected and the attack is prevented if it is coincident. This study analyzes the attack method that could occur in U-Healthcare devices or BS which are remote medical service and suggests countermeasures against the security threat using Big Data.

키워드

참고문헌

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