区块链数据隐私保护研究

doi:10.11959/j.issn.2096-3750.2018.00066

Abstract

Abstract:

Blockchain is a kind of distributed ledger technology with the characteristics of decentralization,security reliability,tamper-proof and programmable.The open and transparent feature of the blockchain system has seriously threatened the transaction privacy of users,and the corresponding privacy problem solution is designed for different application scenarios.Firstly,the basic working principle of block chain technology was introduced,and typical privacy issues was introduced in blockchain,such as transaction privacy and account privacy.Secondly,the existing typical blockchain privacy protection schemes were divided into three types:mixed-coin technology,cryptography technology and secure channel technology,and presents a comprehensive and comprehensive introduction to this three privacy protection schemes; Finally,the blockchain data privacy protection technology was analyzed,the application and development on IoT security were prospeted.

Key words: bitcoin, blockchain, privacy preserving, cryptography, Internet of things

CLC Number:

TP393

Zonghui WANG,Shengli ZHANG,Shi JIN,Hui WANG. Survey on privacy preserving techniques for blockchain[J]. Chinese Journal on Internet of Things, 2018, 2(3): 71-81.

Figures/Tables 8

References 46

[1]	袁勇, 王飞跃 . 区块链技术发展现状与展望[J]. 自动化学报, 2016,42(4): 481-494.
[2]	SWAN M . Blockchain:blueprint for a new economy[M]. “O’Reilly Media,Inc.”, 2015: 212-235.
[3]	ZHENG Z , XIE S , DAI H N ,et al. Blockchain challenges and opportunities:a survey[J]. International Journal of Web ＆ Grid Services, 2016: 1-19.
[4]	CROSBY M , PATTANAYAK P , VERMA S ,et al. Blockchain technology:beyond bitcoin[J]. Applied Innovation, 2016,2: 6-10.
[5]	RON D , SHAMIR A . Quantitative analysis of the full bitcoin transaction graph[C]// Interna-tional Conference on Financial Cryptography and Data Security. Springer,Berlin,Heidelberg, 2013: 6-24.
[6]	BAYARDO R J , AGRAWAL R . Data privacy through optimal k-anonymization[C]// Proceedings.21st International Conference on Data Engineering,2005,ICDE 2005. 2005: 217-228.
[7]	GENTRY C . A fully homomorphic encryption scheme[M]. Stanford University, 2009： 112-130.
[8]	NAKAMOTO S . Bitcoin:a peer-to-peer electronic cash system[J]. Consulted, 2008
[9]	DONET J A D , PéREZ-SOLA C , HERRERA-JOANCOMARTí J , . The bitcoin P2P network[C]// Intern-ational Conference on Financial Cryptography and Data Security. Springer,Berlin,Heidelberg, 2014: 87-102.
[10]	ANTONOPOULOS A M . Mastering bitcoin:unlocking digital crypto-currencies[M]. O'Reilly Media,Inc. 2014: 25-36.
[11]	JOHNSON D , MENEZES A , VANSTONE S . The elliptic curve digital signature algorithm (ECDSA)[J]. International Journal of Information Security, 2001,1(1): 36-63.
[12]	COURTOIS N T , GRAJEK M , NAIK R . Optimizing sha256 in bitcoin mining[C]// International Conference on Cryptography and Security Systems. Springer,Berlin,Heidelberg, 2014: 131-144.
[13]	CASTRO M , LISKOV B . Practical Byzantine fault tolerance and proactive recovery[J]. ACM Transactions on Computer Systems (TOCS), 2002,20(4): 398-461.
[14]	KING S , NADAL S . Ppcoin:peer-to-peer crypto-currency with proof-of-stake[J]. Self-published Paper, 2012(8):19.
[15]	ONGARO D , OUSTERHOUT J K . In search of an understandable consensus algorithm[C]// USENIX Annual Technical Conference. 2014: 305-319.
[16]	REID F , HARRIGAN M . An analysis of anonymity in the bitcoin system[M]. Security and Privacy in Social Networks. Springer,New York,NY, 2013: 197-223.
[17]	GOLDFEDER S , KALODNER H , REISMAN D ,et al. When the cookie meets the blockchain:privacy risks of Web payments via cryptocurrencies[J]. 2017: 1-23.
[18]	MEIKLEJOHN S , POMAROLE M , JORDAN G ,et al. A fistful of bitcoins:characterizing pay-ments among men with no names[C]// Proceedings of the 2013 Conference on Internet Measurement Conference. ACM, 2013: 127-140.
[19]	RON D , SHAMIR A . Quantitative analysis of the full bitcoin transaction graph[C]// Intern-ational Conference on Financial Cryptography and Data Security. Springer,Berlin,Heidelberg, 2013: 6-24.
[20]	KOSHY P , KOSHY D , MCDANIEL P . An analysis of anonymity in bitcoin using P2P network traffic[C]// International Conference on Financial Cryptography and Data Security. Springer,Berlin,Heidelberg, 2014: 469-485.
[21]	ANDROULAKI E , KARAME G O , ROESCHLIN M ,et al. Evaluating user privacy in bitcoin[C]// International Conference on Financial Cryptography and Data Security. Springer,Berlin,Heidelberg, 2013: 34-51.
[22]	OBER M , KATZENBEISSER S , HAMACHER K . Structure and anonymity of the bitcoin transaction graph[J]. Future Internet, 2013,5(2): 237-250.
[23]	BONNEAU J , NARAYANAN A , MILLER A ,et al. Mixcoin:anonymity for bitcoin with accountable mixes[C]// International Conference on Financial Cryptography and Data Security. Springer,Berlin,Heidelberg, 2014: 486-504.
[24]	VALENTA L , ROWAN B . Blindcoin:blinded,accountable mixes for bitcoin[C]// International Conference on Financial Cryptography and Data Security. Springer,Berlin,Heidelberg, 2015: 112-126.
[25]	CHAUM D , . Blind signatures for untraceable payments[C]// Advances in Cryptology. Springer,Boston,MA, 1983: 199-203.
[26]	DUFFIELD E , DIAZ D . Dash:a privacy centric crypto currency[J]. 2014: 1-22.
[27]	Maxwell , Gregory . CoinJoin:bitcoin privacy for the real world[J]. 2013: 1-13.
[28]	RUFFING T , MORENO-SANCHEZ P , KATE A . CoinShuffle:practical decentralized coin mixing for Bitcoin[C]// European Symposium on Research in Computer Security. Springer,Cham, 2014: 345-364.
[29]	HEILMAN E , ALSHENIBR L , BALDIMTSI F ,et al. TumbleBit:an untrusted bitcoin-compatibl-e anonymous payment hub[C]// Proceedings of NDSS 2017, 2017: 1-15.
[30]	ZIEGELDORF J H , GROSSMANN F , HENZE M ,et al. CoinParty:secure multi-party mixing of bitcoins[C]// Proceedings of the 5th ACM Conference on Data and Application Security and Privacy. ACM, 2015: 75-86.
[31]	Van Saberhagen N.Cryptonote v2.0[J]. 2013: 1-13.
[32]	NOETHER S , MACKENZIE A , TEAM M C . Ring confidential transactions[J]. 2016: 1-12.
[33]	MILLER A , MOESER M , LEE K ,et al. An empirical analysis of linkability in the monero blockchain[J]. 2017: 1-15.
[34]	KUMAR A , FISCHER C , TOPLE S ,et al. A traceability analysis of monero’s blockchain[C]// European Symposium on Research in Computer Security. Springer,Cham, 2017: 153-173.
[35]	MIERS I , GARMAN C , GREEN M ,et al. Zerocoin:anonymous distributed e-cash from bitcoin[C]// 2013 IEEE Symposium on Security and Privacy (SP). 2013: 397-411.
[36]	RACKOFF C , SIMON D R . Non-interactive zero-knowledge proof of knowledge and chosen ciphertext attack[C]// Annual International Cryptology Conference. Springer,Berlin,Heidelberg, 1991: 433-444.
[37]	SASSON E B , CHIESA A , GARMAN C ,et al. Zerocash:decentralized anonymous payment-s from bitcoin[C]// 2014 IEEE Symposium on Security and Privacy (SP). 2014: 459-474.
[38]	MCCORRY P , M?SER M , SHAHANDASTI S F , ,et al. Towards bitcoin payment networks[C]// Australasian Conference on Information Security and Privacy. Springer,Cham, 2016: 57-76.
[39]	DECKER C , WATTENHOFER R . A fast and scalable payment network with bitcoin duplex micropayment channels[C]// Symposium on Self-Stabilizing Systems. Springer,Cham, 2015: 3-18.
[40]	POON J , DRYJA T . The bitcoin lightning network:scalable off-chain instant payments[J]. Draft Version 0.5, 2016,9:14.
[41]	MILLER A , BENTOV I , KUMARESAN R ,et al. Sprites:payment channels that go faster than lightning[J]. 2017: 1-23.
[42]	GREEN M , MIERS I . Bolt:anonymous payment channels for decentralized currencies[C]// Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security. ACM, 2017: 473-489.
[43]	HEILMAN E , BALDIMTSI F , GOLDBERG S . Blindly signed contracts:anonymous on-blockchain and off-blockchain bitcoin transactions[C]// International Conference on Financial Cryptography and Data Security. Springer,Berlin,Heidelberg, 2016: 43-60.
[44]	ZHANG Y , WEN J . The IoT electric business model:using blockchain technology for the Internet of things[J]. Peer-to-Peer Networking and Applications, 2017,10(4): 983-994.
[45]	CHAKRAVORTY A , WLODARCZYK T , RONG C . Privacy preserving data analytics for smart homes[C]// Security and Privacy Workshops (SPW),2013 IEEE. IEEE, 2013: 23-27.
[46]	DORRI A , KANHERE S S , JURDAK R ,et al. Blockchain for IoT security and privacy:the case study of a smart home[C]// 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerC-om Workshops). 2017: 618-623.

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方法	结构	特点	盗窃风险	拒绝服务
MixCoin	中心化	匿名性取决于第三方混币服务与可信度提供用户	高	低
BlindCoin	中心化	匿名性取决于第三方混币服务及盲签名技术	高	低
Dash	中心化	选取几个主节点提供一连串混币服务，保证匿名性	中	低
CoinJoin	中心化	使用多重签名技术来增强匿名性	低	高
CoinShuffle	P2P	使用其他用户密钥加密用户输出地址，增加地址不可链接性	低	高
TumbleBit	P2P	使用RSA和ECDSA密码学技术，由不可信第三方实现混币	低	低
CoinParty	P2P	基于解密混合网络和阈值签名的混币服务	低	低

方法	特点	优点	缺点
Monero	基于CryptoNote密码学协议	通过环签名、隐蔽地址，RingCT实现匿名	交易被链接
Zerocoin	基于零知识证明密码学技术	交易不可链接、抗盗窃和拒绝服务攻击	证明数据占内存大，验证时间长
Zerocash	简洁非交互性零知识证明技术	匿名性最强	依靠固定节点初始化内置参数，验证效率较低

方法	特点	优点	缺点
Bi-directional Payment	链下交易通道实现快速交易	交易内容仅交易双方可见，减少验证时间	公布用户最后的交易状态
Lightning Network	链下交易通道实现快速交易	交易内容仅交易双方可见，减少验证时间	依靠第三方平台，公布最后交易状态
Sprites	交易处理速度快	支持部分提款和存款	交易可链接
Blot	对交易内容加密，不可信第三方实现链下通道交易	提供更强的用户隐私，交易不可链接	第三方可能获取交易内容
TumbleBit	通过RSA和ECDSA密码学实现匿名的链下通道交易技术	第三方无法获取具体交易信息，保证用户隐私安全	验证时间较长

Survey on privacy preserving techniques for blockchain

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