DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kang, Brent Byunghoon | - |
dc.contributor.advisor | 강병훈 | - |
dc.contributor.author | Jeong, Yunjong | - |
dc.date.accessioned | 2021-05-13T19:41:32Z | - |
dc.date.available | 2021-05-13T19:41:32Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=926987&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/285181 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 정보보호대학원, 2020.8,[iv, 28 p. :] | - |
dc.description.abstract | This thesis proposes a new memory error detection approach that is based on snooper hardware that observes memory traffic flowing through the system bus. Memory error detectors have been mainlly built using software instrumentation, which suffer from performance and compatibility issues. Memory snooper-based approach can transparently monitor the memory access behavior of the a process. How- ever, to observe a software from the memory’s point of view, we need to overcome microarchitectural barriers such as cache. This thesis explores what are the architectural and software level constraints in the snooper-based detector and then implemented a redzone-based heap memory bug detector. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Software vulnerability▼ahardware-based security▼asnooper▼amemory bug | - |
dc.subject | 소프트웨어 보안▼a하드웨어 보안▼a스누퍼▼a메모리 취약점 | - |
dc.title | SnoopDog: memory overflow watchdog based on snooper | - |
dc.title.alternative | 스누퍼 하드웨어에 기반한 메모리 오버플로우 감시 방법 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :정보보호대학원, | - |
dc.contributor.alternativeauthor | 정윤종 | - |
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