Data inconsistency attack and defense in software-defined networking = 소프트웨어 정의 네트워킹에서의 데이터 불일치 공격 및 방어 연구

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Over the years, Software-Defined Networking (SDN) has grown aggressively, and many SDN controller products have been released to date as not only open source projects but also commercial ones. Considering the adoption of SDN, the security of SDN components is an essential aspect that needs to be thoroughly investigated, so research in this area has been getting attention. However, despite growing interest in SDN security, SDN controllers are vulnerable to security vulnerabilities that have not yet been disclosed. Among them, we focus on data inconsistency problems between the controller and switches. In this work, we try to find out the inconsistency states between each layer, which are powerful enough to jeopardize the entire network. To more efficiently detect those vulnerabilities and bugs, we introduce a framework called RE-CHECKER that can find the security holes using RESTful services in SDN controller. As a result, using RE-CHECKER, we found four bug types against three open source controllers: ONOS, Floodlight, and Ryu. Based on the result of RE-CHECKER, we illustrate some design flaws of the controllers through security analysis. After that, we present another framework called AUDI, which can detect and address the data inconsistency between the controller and switches. To prove the feasibility and examine the potential impact of the data inconsistency, we demonstrate some vulnerable scenarios in the real SDN environments.
Advisors
Shin, Seungwonresearcher신승원researcher
Description
한국과학기술원 :정보보호대학원,
Publisher
한국과학기술원
Issue Date
2019
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 정보보호대학원, 2019.2,[iv, 32 p. :]

Keywords

SDN▼asoftware-defined networking▼aSDN security▼adata inconsistency; SDN▼a소프트웨어 정의 네트워킹▼aSDN 보안▼a데이터 불일치

URI
http://hdl.handle.net/10203/267175
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=843589&flag=dissertation
Appears in Collection
IS-Theses_Master(석사논문)
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