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題名 以工作量證明與賽局理論減輕售票系統的DDoS-like請求與黃牛行為
Mitigating DDoS-like Requests and Ticket-Scalping in a Ticket-Selling System by Proof-of-Work and Game Theory
作者 宋昆原
Sung, Kun-Yuan
貢獻者 蕭舜文
Hsiao, Shun-Wen
宋昆原
Sung, Kun-Yuan
關鍵詞 阻斷式攻擊
工作量證明
賽局理論
黃牛票
Proof-of-Work
Game Theory
DDoS
Ticket scalping
日期 2020
上傳時間 2-Sep-2020 11:48:17 (UTC+8)
摘要 Tickets to event are always limited, people would try their best to acquire tickets. They would access the server right after the tickets are available. In this moment, the server might suffer from a DDoS-like attack. In addition, there are scalpers who intend to snap up the tickets to resell them with a mark-up. With the exist of scalpers, the ticket-buying environment becomes quite unfair since a scalper might have more resources to compete the limited tickets. We propose a Proof-of-Work mechanism adding to ticket-selling system to decrease the number of requests sent to the server and also disperse all these requests in the selling period. We further use the concept of game theory to analyze the best condition for event holder to control what they want the buyers behave under the Proof-of-Work mechanism.
參考文獻 [1] A. Back, “Hashcash-a denial of service counter-measure,” 2002.

[2] A Agah et al., "Preventing DoS attacks in wireless sensor networks: A repeated game theory approach," IJ Network Security, 2007, vol. 5, no. 2, pp. 145-153.

[3] A. Michalas et al., “Cryptographic puzzles and game theory against dos and ddos attacks in networks,” International Journal of Computer Research, 2012, vol. 19, no. 1, pp. 79.

[4] B. Johnson et al., “Game-Theoretic Analysis of DDoS Attacks Against Bitcoin Mining Pools,” in Proc. of International Conference on Financial Cryptography and Data Security, 2014. pp. 72-86.

[5] D. Mankins et al., "Mitigating distributed denial of service attacks with dynamic resource pricing," Seventeenth Annual Computer Security Applications Conference, 2001, pp. 411-421.

[6] E. Kaiser and W. C. Feng, “Helping ticketmaster: Changing the economics of ticket robots with geographic proof-of-work,” in Proc. of 2010 INFOCOM IEEE Conference on Computer Communications Workshops, 2010. pp. 1-6.

[7] H. Bedi et al., "Game theory-based defense mechanisms against DDoS attacks on TCP/TCP-friendly flows," IEEE symposium on computational intelligence in cyber security, 2011, pp. 129-136.

[8] N. Sá et al., "Ticket pricing and scalping: A game theoretical approach," The BE Journal of Economic Analysis & Policy, 2013, vol. 13, no. 2, pp. 627-653.

[9] P. Courty, "Some economics of ticket resale," Journal of Economic Perspectives, 2003, vol. 17, no. 2, pp. 85-97.

[10] Q. Wu et al., "On modeling and simulation of game theory-based defense mechanisms against DoS and DDoS attacks," in Proc. of 2010 spring simulation multiconference, 2010, pp. 1-8.

[11] T. Spyridopoulos et al., “A game theoretic defence framework against DoS/DDoS cyber attacks,” Computers & Security, vol. 38, pp. 39-50.

[12] W. J. Blackert et al., “Analyzing interaction between distributed denial of service attacks and mitigation technologies,” in Proc. of DARPA Information Survivability Conference and Exposition, 2003. pp. 26-36.

[13] Y. Cui et al., "Should event organizers prevent resale of tickets?," Management Science, 2014, vol. 60, no. 9, pp. 2160-2179.
描述 碩士
國立政治大學
資訊管理學系
107356037
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0107356037
資料類型 thesis
dc.contributor.advisor 蕭舜文zh_TW
dc.contributor.advisor Hsiao, Shun-Wenen_US
dc.contributor.author (Authors) 宋昆原zh_TW
dc.contributor.author (Authors) Sung, Kun-Yuanen_US
dc.creator (作者) 宋昆原zh_TW
dc.creator (作者) Sung, Kun-Yuanen_US
dc.date (日期) 2020en_US
dc.date.accessioned 2-Sep-2020 11:48:17 (UTC+8)-
dc.date.available 2-Sep-2020 11:48:17 (UTC+8)-
dc.date.issued (上傳時間) 2-Sep-2020 11:48:17 (UTC+8)-
dc.identifier (Other Identifiers) G0107356037en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/131502-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理學系zh_TW
dc.description (描述) 107356037zh_TW
dc.description.abstract (摘要) Tickets to event are always limited, people would try their best to acquire tickets. They would access the server right after the tickets are available. In this moment, the server might suffer from a DDoS-like attack. In addition, there are scalpers who intend to snap up the tickets to resell them with a mark-up. With the exist of scalpers, the ticket-buying environment becomes quite unfair since a scalper might have more resources to compete the limited tickets. We propose a Proof-of-Work mechanism adding to ticket-selling system to decrease the number of requests sent to the server and also disperse all these requests in the selling period. We further use the concept of game theory to analyze the best condition for event holder to control what they want the buyers behave under the Proof-of-Work mechanism.en_US
dc.description.tableofcontents Chapter 1 Introduction 6
1.1 Overview 6
1.2 Motivation 6
1.3 Problems and Goals 7
1.4 Proposed Method 7
Chapter 2 Related Work 10
1.1 Background 10
1.2 Literature Review 11
Chapter 3 Method 13
3.1 Problem Definition 13
3.2 Assumption and Definition 14
3.3 Scenario without PoW 15
3.4 Mechanism Design 16
3.5 Measurement 19
3.6 Analytical Solution 21
Chapter 4 Evaluation 23
4.1 Parameter Setting 23
4.2 Simulation 24
4.3 Emulation 34
Chapter 5 Conclusion 36
Reference 38
zh_TW
dc.format.extent 902475 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0107356037en_US
dc.subject (關鍵詞) 阻斷式攻擊zh_TW
dc.subject (關鍵詞) 工作量證明zh_TW
dc.subject (關鍵詞) 賽局理論zh_TW
dc.subject (關鍵詞) 黃牛票zh_TW
dc.subject (關鍵詞) Proof-of-Worken_US
dc.subject (關鍵詞) Game Theoryen_US
dc.subject (關鍵詞) DDoSen_US
dc.subject (關鍵詞) Ticket scalpingen_US
dc.title (題名) 以工作量證明與賽局理論減輕售票系統的DDoS-like請求與黃牛行為zh_TW
dc.title (題名) Mitigating DDoS-like Requests and Ticket-Scalping in a Ticket-Selling System by Proof-of-Work and Game Theoryen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) [1] A. Back, “Hashcash-a denial of service counter-measure,” 2002.

[2] A Agah et al., "Preventing DoS attacks in wireless sensor networks: A repeated game theory approach," IJ Network Security, 2007, vol. 5, no. 2, pp. 145-153.

[3] A. Michalas et al., “Cryptographic puzzles and game theory against dos and ddos attacks in networks,” International Journal of Computer Research, 2012, vol. 19, no. 1, pp. 79.

[4] B. Johnson et al., “Game-Theoretic Analysis of DDoS Attacks Against Bitcoin Mining Pools,” in Proc. of International Conference on Financial Cryptography and Data Security, 2014. pp. 72-86.

[5] D. Mankins et al., "Mitigating distributed denial of service attacks with dynamic resource pricing," Seventeenth Annual Computer Security Applications Conference, 2001, pp. 411-421.

[6] E. Kaiser and W. C. Feng, “Helping ticketmaster: Changing the economics of ticket robots with geographic proof-of-work,” in Proc. of 2010 INFOCOM IEEE Conference on Computer Communications Workshops, 2010. pp. 1-6.

[7] H. Bedi et al., "Game theory-based defense mechanisms against DDoS attacks on TCP/TCP-friendly flows," IEEE symposium on computational intelligence in cyber security, 2011, pp. 129-136.

[8] N. Sá et al., "Ticket pricing and scalping: A game theoretical approach," The BE Journal of Economic Analysis & Policy, 2013, vol. 13, no. 2, pp. 627-653.

[9] P. Courty, "Some economics of ticket resale," Journal of Economic Perspectives, 2003, vol. 17, no. 2, pp. 85-97.

[10] Q. Wu et al., "On modeling and simulation of game theory-based defense mechanisms against DoS and DDoS attacks," in Proc. of 2010 spring simulation multiconference, 2010, pp. 1-8.

[11] T. Spyridopoulos et al., “A game theoretic defence framework against DoS/DDoS cyber attacks,” Computers & Security, vol. 38, pp. 39-50.

[12] W. J. Blackert et al., “Analyzing interaction between distributed denial of service attacks and mitigation technologies,” in Proc. of DARPA Information Survivability Conference and Exposition, 2003. pp. 26-36.

[13] Y. Cui et al., "Should event organizers prevent resale of tickets?," Management Science, 2014, vol. 60, no. 9, pp. 2160-2179.
zh_TW
dc.identifier.doi (DOI) 10.6814/NCCU202001483en_US