DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Moon, Jaekyun | - |
dc.contributor.advisor | 문재균 | - |
dc.contributor.author | Choi, Beongjun | - |
dc.date.accessioned | 2022-04-21T19:33:53Z | - |
dc.date.available | 2022-04-21T19:33:53Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=962470&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/295639 | - |
dc.description | 학위논문(박사) - 한국과학기술원 : 전기및전자공학부, 2021.8,[vii, 113 p. :] | - |
dc.description.abstract | We are living in an era of data deluge where more than 2.5 Exabytes of data are created every single day. In order to deal with the increasing demand for processing big data, centralized systems have been progressively replaced by distributed systems where multiple nodes located on different machines collectively act as a single coherent system. However, distributed systems suffer from reliability and security issues due to inevitable node failure events and adversarial attacks. This thesis focuses on constructing reliable, secure, and resource-efficient distributed systems based on coding and information theory. In the first part, we obtain the secrecy capacity, the maximum data size that can be stored with perfect secrecy, in clustered distributed storage system and provide explicit coding schemes to securely store the data against eavesdroppers. In the second part, we suggest a general framework for the coded Practical Byzantine Fault Tolerance consensus algorithm for enabling resource-efficient agreement among distributed nodes under Byzantine attacks. In the last part, we propose communication-computation efficient secure aggregation which considerably reduces the amount of communication/computational resources required for private federated learning. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Distributed storage systems▼aEavesdropper▼aBig data | - |
dc.subject | Byzantine fault tolerance▼aConsensus algorithm▼aBlockchain▼aFederated learning▼aSecure aggregation▼aCoding theory▼aInformation theory | - |
dc.subject | 분산 저장 시스템▼a도청자▼a빅데이터▼a비잔틴 결함 내성▼a합의 알고리즘▼a블록체인▼a연합학습▼a안전집계▼a부호이론▼a정보이론 | - |
dc.title | Coding and data allocation schemes for reliable, secure, and resource-efficient distributed systems | - |
dc.title.alternative | 안전하고 자원 효율적인 분산 시스템을 위한 부호화 및 데이터 할당 기술 | - |
dc.type | Thesis(Ph.D) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | 최병준 | - |
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