簡易檢索 / 詳目顯示
| 研究生： |
李信德 Lee, Hsin-Te |
|---|---|
| 論文名稱： |
雲端資料庫之有效率的即時稽核 Efficient Real-Time Auditing for Cloud Database Systems |
| 指導教授： |
黃冠寰
Hwang, Gwan-Hwan |
| 學位類別： |
碩士 Master |
| 系所名稱： |
資訊工程學系 Department of Computer Science and Information Engineering |
| 論文出版年： | 2018 |
| 畢業學年度： | 106 |
| 語文別： | 中文 |
| 論文頁數： | 37 |
| 中文關鍵詞： | 雲端資料庫 、雲端安全 、不可否認性 、違約證明 |
| DOI URL： | http://doi.org/10.6345/THE.NTNU.DCSIE.008.2018.B02 |
| 論文種類： | 學術論文 |
| 相關次數： | 點閱：39 下載：10 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
雲端資料庫是一個執行在雲端運算平台的資料庫系統，由雲端服務提供者(Cloud Service Provider, CSP)負責安裝與維護，使用者只需要支付租金即可使用。但CSP可能會洩漏機密數據、修改數據，或是因為系統錯誤、不當操作或是遭受駭客攻擊，造成回傳不一致的數據給使用者。某些雲端資料庫有提供Web interface或API (Application programming interface)給使用者查閱日誌檔，但是日誌檔並不是密碼學證據，不能用來證明CSP違反Query Integrity 與Transaction Serializability。即時稽核架構應該符合以下兩點，CSP在租借資料庫給用戶時，用戶能夠在執行query時，透過用戶的證據作即時性稽核，避免CSP回傳錯誤的數據。在拿到錯誤的數據時，可以透過用戶的證據證明雲端資料庫發生資料不一致的責任歸屬。為快速稽核資料，通常會使用大量CPU資源運算Hash Function，本篇論文提出的做法可以有效降低稽核時CPU耗能，使伺服器能在使用相同的計算量服務更多的使用者。
[1] Cloud storage. (2018, June 18). Retrieved from Wikipedia: https://en.wikipedia.org/wiki/Cloud_storage
[2] SQL. (2018, June 9). Retrieved from Wikipedia: https://en.wikipedia.org/wiki/SQL
[3] NoSQL. (2018, June 20). Retrieved from Wikipedia: http://en.wikipedia.org/wiki/NoSQL
[4] Google CloudSQL. (n.d.). Retrieved from Google:
https://cloud.google.com/sql/
[5] Amazon RDS for MySQL. (n.d.). Retrieved from Amazon:
http://aws.amazon.com/tw/rds/mysql/
[6] Gwan-Hwan Hwang, Jenn-Zjone Peng, and Wei-Sian Huang. (2013). A Mutual Nonrepudiation Protocol for Cloud Storage with Interchangeable Accesses of a Single Account from Multiple Devices. 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications.
[7] Gwan-Hwan Hwang, Hung-Fu Chen. (2013). A Mutual Nonrepudiation Protocol for Cloud Storage with Interchangeable Accesses of a Single Account from Multiple Devices. 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications.
[8] Gwan-Hwan Hwang, Wei-Sian Huang, and Jenn-Zjone Peng. (2016). Real-time Proof of Violation for Cloud Storage. IEEE 6th International Conference on Cloud Computing Technology and Science.
[9] Gwan-Hwan Hwang , Shih-Kai Fu. (2016). Proof of Violation for Trust and Accountability of Cloud Database Systems. 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing.
[10] HweeHwa Pang, Arpit Jain, Krithi Ramamritham, Kian-Lee Tan. (2005, June 14-16). Verifying Completeness of Relational Query Results in Data Publishing. Proceedings of the 2005 ACM SIGMOD international conference on Management of data, pp. 407-418.
[11] Jun Feng, Yu Chen, Douglas Summerville, Wei-Shinn Ku, Zhou Su. (2011, Jan 9-12). Enhancing Cloud Storage Security Against Roll-back Attacks with a New Fair Multi-party Non-repudiation protocol. 2011 IEEE Consumer Communications and Networking Conference (CCNC).
[12] Kyriakos Mouratidis, Dimitris Sacharidis, HweeHwa Pang. (2009, January 1). Partially materialized digest scheme: an efficient verification method for outsourced databases. The VLDB Journal — The International Journal on Very Large Data Bases, pp. 363-381.
[13] B+Tree. (2018, May 18). Retrieved from Wikipedia:
https://en.wikipedia.org/wiki/B%2B_tree
[14] Modulo. (2018, June 12). Retrieved from Wikipedia:
https://zh.wikipedia.org/wiki/%E5%90%8C%E9%A4%98
