以群體行為分析為目的的跨機構交流區塊鏈平台與鏈下隱私資料之相依管理設計;The Design to Manage Online and Off-Line Block-Chain Based Mechanism for Community Analysis and Privacy Preserved Information Exchange

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > Research Project > Item 987654321/84692

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Title:	以群體行為分析為目的的跨機構交流區塊鏈平台與鏈下隱私資料之相依管理設計;The Design to Manage Online and Off-Line Block-Chain Based Mechanism for Community Analysis and Privacy Preserved Information Exchange
Authors:	蔡孟峰
Contributors:	資訊工程學系
Keywords:	區塊鏈;去中心化;個人資料保護;差分隱私;智能合約;校務研究;block-chain;de-centralized;privacy protect;differential privacy;smart contract;institutional research
Date:	2020-12-08
Issue Date:	2020-12-09 10:44:21 (UTC+8)
Publisher:	科技部
Abstract:	近年來代表去中心化運作方式的區塊鏈技術興盛，顯示各方獨立管控參與、公開資訊基本上不受單一個體把持的環境，已贏得許多人的信任，並且也產生服務、消費的經濟行為。許多人因此期待更廣泛且深入的應用與互動。我們嘗試在這樣的信任基礎上，發展有助於整體認知的資訊交流；而首要的課題便是強化個人資料保護。不幸的是，如差分隱私方法所提示的，個資有可能因不同但類似資料集之間的比對拼湊，而導致不當揭露。面對這樣的難題，若是任由各方自行以強度不同的保護標準運作，勢必無法有效克服。為了提出切實可行的方案，本研究因此深入了解以下三個領域：一、校務研究，由於同一學生的學習歷程常由不同組織管理，所以提供了資訊分散管理、但須匯集整併、才能整體分析的確實應用需求與相關應用資料。二、差分隱私，由統計模型解釋目前多數人接受的個資保護機制。三、智能合約，在區塊鏈環境中提供資訊交流與管控的程式化服務。經過學習理解，在智能合約中管理，使得各方能循差分隱私保護機制，並協同的貢獻整體分析功能，這樣的目標是可達成的。本計畫也因同時前驅的關注數個領域，相信對資訊交流信任、技術深入完備、應用彈性廣泛等方面，都將帶來重要且正面的影響。 ;The prosperity of block-chain based activities shows that people have accepted the de-centralized platform. Such platforms encourage complete local authority. With this kind of trust, many services and consumption behaviors have been operated on those platforms, and more broad applications are anticipated. We attempt to facilitate data exchange, for better understanding of the overall community, with the trust in the block-chain environments. The first issue is to strengthen the privacy protection. Unfortunately, as differential privacy prompted, private data can be improperly revealed, by comparing and putting together pieces from different sites.This problem cannot be efficient solved by purely local managements, with different protecting policies running on each cites. To offer feasible solution, we have studied three related fields: 1.Institutional Research, data usually needs to be integrated from different organization before analysis tasks. This provide us a realistic case to understand the requirements. 2. Differential privacy, a branch of statistic research that most people adapted for privacy protection. 3. Smart contract, a programmable service enable data exchange and management on top of block-chain platform. After preliminary investigation, it is feasible to implement differential privacy mechanism, and collaboratively contribute integrated analysis, in smart contracts. Putting our attentions to several research fields in the meantime, we are confident to bring positive influences for data exchange confidence, integrated techniques, and flexible applicability.
Relation:	財團法人國家實驗研究院科技政策研究與資訊中心
Appears in Collections:	[Department of Computer Science and information Engineering] Research Project

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