基于Pay Word的微支付机制及改进分析综述

doi:10.3969/j.issn.1000-0801.2011.08.011

Abstract

Abstract:

This paper surveys the micro-payment system of electronic payment based on Pay Word.Pay Word protocol is concretely analyzed and the advantages and disadvantages of this protocol are pointed out.Some representative improved protocols based on Pay Word are detailedly classified according to the improved aspect.Finally,this paper gives a discussion on the problem in this field and the future research directions.

Key words: Pay Word, micro-payment, classification, research direction

Fangwei Li,Shaojun Yan. A Survey of Analysis of Micro-Payment Mechanism and Improvement Mechanism Based on Pay Word[J]. Telecommunications Science, 2011, 27(8): 45-49.

References 25

1	Rivest R , Shamir A . Pay Word and MicroMint:two simple micropayment schemes.In: Fourth Cambridge Workshop on Security Protocols, Springer-Verlag, Lecture Notes in Computer Science, 1996
2	Ronald L Rivest . The MD5 message-digest algorithm. Internet Request for Comments, 1992(4)
3	王志恒，古大武，白英彩 . 一种新型小额电子支付协议的研究与设计. 计算机工程与应用， 2001 （17）: 51～53
4	李凌春 . Pay Word 微支付系统的安全性分析及其改进研究.. 大众科技， 2008 （11）: 23～24
5	Hwang M , Sung P . A study of Micro-payment based on one-way Hash chain. International Journal of Network Security, 2006,2(2): 81～90
6	Wenbo M . Light-weight micro-cash payment for the Internet.In: Proceedings of the 4th European Symposium on Research in Computer Security, 1996
7	何文鑫，吕玉琴，赵鑫等. 基于Hash 链的微支付协议匿名性研究. 中国电子科学研究院学报， 2008（6）: 599～603
8	孟健，杨阳 . 基于Pay Word 的自更新Hash 链微支付协议. 计算机工程， 2009 （35）: 63～65
9	姬东耀，王育民 . 移动计算网络环境中的认证与小额支付协议. 电子学报， 2002, 30，（4）: 495～498
10	李方伟，孙逊 . 移动电子商务微支付协议的改进. 重庆邮电大学学报（自然科学版）， 2009, 21，（6）: 815～818
11	李明柱，李志江，杨义先 . 移动通信增值服务认证和支付研究. 通信学报， 2003, 24，（4）: 123～127
12	刘伟，陈卫东，王义新 . 基于Pay Word 安全微支付的改进实现. 农业网络信息， 2007（11）: 13～115
13	卿丽研 . 基于Pay Word 的微支付系统NPAY设计与研究. 商场现代化， 2008（1）: 34～35
14	曹华，金瓯，贺建飚 . 基于双哈希链的公平移动支付协议的设计和分析. 计算机测量与控制， 2007, 15，(1）: 117～119
15	谭运猛，付雄，朗为民 . 基于多Pay Word 链的新型高效微支付方案. 华中科技大学学报， 2004, 32，（5）: 29～31
16	姬东耀，王育民 . 基于Pay Word 的小额电子支付协议. 电子学报， 2002;（2）: 301～303
17	Jakobsson M . Ripping coins for a fair exchange. Advances in Cryptology-EuroCrypt'95,LNCS921, 1995
18	刘军 . 基于同时生效签名的Pay Word协议公平性改进. 计算机应用， 2010,30，（6）: 1493～1494
19	樊利民，廖建新 . 公平的移动小额支付协议. 电子与信息学报， 2007（11）: 2599～2602
20	秦小龙，杨义先 . 一个新的小额电子支付协议. 计算机工程与设计， 2003，24（10）: 23～25
21	练斌 . 移动增值服务支付协议的设计与分析. 计算机工程与应用， 2008, 44，（25）: 115～118
22	刘亿宁，李宏伟，田金兵 . 二维Hash链在Pay Word中的应用. 计算机工程， 2006（23）: 34～35
23	谭运猛，朗为民，杨宗凯 . 基于Merkle树的微支付方案. 华中科技大学学报（自然科学版）， 2004, 32，（6）: 27～32
24	朗为民，焦巧，李建军，刘建中 . 基于对称加密体制和散列链的新型公正微支付系统. 专题研究， 2009（3）: 4～6
25	陈莉，张浩军，祝跃飞 . 一种新的移动商务小额支付协议. 计算机应用， 2007,27，（8）: 2059～2061

Metrics

Recommended 0

No Suggested Reading articles found!

[1]	Lu HAN, Weiyu CHEN, Fei ZHANG, Jianfeng HE, Huaizhen SU. Big data classification method of non relational distributed submission information under differentiated requirements [J]. Telecommunications Science, 2023, 39(6): 114-121.
[2]	Da WANG, Tao SUN, Xiaowen SUN, Jianchao GUO, Jie SUN, Guo CHEN, Aidong YANG, Ye OUYANG. Study on digital twins in network lifecycle management [J]. Telecommunications Science, 2022, 38(4): 138-145.
[3]	Yong SONG, Zhiwei YAN, Yukun QIN, Dongming ZHAO, Xiaozhou YE, Yuanyuan CHAI, Ye OUYANG. Customer service complaint work order classification based on matrix factorization and attention multi-task learning [J]. Telecommunications Science, 2022, 38(2): 103-110.
[4]	Xie LU, Lei XU, Manjun ZHANG. Safe hierarchical virtual network mapping method based on clustering [J]. Telecommunications Science, 2021, 37(9): 112-117.
[5]	Jiyi WU, Wenjuan LI, Jian CAO, Shiyou QIAN, Qifei ZHANG, Rajkumar BUYYA. AIoT: a taxonomy, review and future directions [J]. Telecommunications Science, 2021, 37(8): 1-17.
[6]	Jin ZHAO, Xiaojun YANG. Application on text classification of telecom user complaints based on GRW and FastText model [J]. Telecommunications Science, 2021, 37(6): 125-131.
[7]	Yue GU, Dan LI, Kaihui GAO. Research on network traffic classification based on machine learning and deep learning [J]. Telecommunications Science, 2021, 37(3): 105-113.
[8]	Liang ZHANG, Xiaoju DAI, Rong ZHENG, Tongze He. Research and implementation of text classification method for customer service orders based on multi-model fusion [J]. Telecommunications Science, 2021, 37(11): 86-96.
[9]	Ruisi HE, Bo AI, Zhangdui ZHONG, Mi YANG, Chen HUANG, Zhangfeng MA, Guiqi Sun, Hang MI, Chengyi ZHOU, Ruifeng CHEN. 5G urban rail traffic scenario classification and channel modeling [J]. Telecommunications Science, 2021, 37(10): 102-116.
[10]	Tingting ZHANG,Jianwu ZHANG,Chunsheng GUO,Huahua CHEN,Di ZHOU,Yansong WANG,Aihua XU. A survey of image object detection algorithm based on deep learning [J]. Telecommunications Science, 2020, 36(7): 92-106.
[11]	Fu SU,Qin LV,Renze LUO. Review of image classification based on deep learning [J]. Telecommunications Science, 2019, 35(11): 58-74.
[12]	Tieming CHEN, Binbin XIANG, Mingqi LV, Bo CHEN, Xie JIANG. Android malware detection method based on byte-code image and deep learning [J]. Telecommunications Science, 2019, 35(1): 9-17.
[13]	Heng CAI,Lei GE. Intelligent fault prediction method of telecom system [J]. Telecommunications Science, 2018, 34(6): 183-191.
[14]	Yaguan QIAN,Xiaohui GUAN,Shuhui WU,Bensheng YUN,Dongxiao REN. An approach of Bagging ensemble based on feature set and application for traffic classification [J]. Telecommunications Science, 2018, 34(4): 41-48.
[15]	Shaomin WANG,Di YANG,Hua REN. Key technology research and model validation of text classification system based on deep learning [J]. Telecommunications Science, 2018, 34(12): 117-124.

A Survey of Analysis of Micro-Payment Mechanism and Improvement Mechanism Based on Pay Word

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

References 25

Related Articles 15

Metrics

Recommended 0