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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lu Zhu Sheng Yu Xing Zhang |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Comput., Wuhan Univ., Wuhan (Lu Zhu) |
| Abstract | Many password authentication schemes have been proposed for electronic commerce environment; however, none of them is secure enough. Hwang and Yeh proposed an improvement on the Peyravian-Zunic password authentication scheme including protected password transmission and password change. We demonstrate that the Hwang-Yeh scheme is also vulnerable to several kinds of attacks though the scheme has repaired some security problems of the Peyravianis-Zunic scheme. Furthermore, we propose an improved scheme to enhance security of their scheme in the paper. Based on collision-resistant hash function, the proposal employs techniques of salting, time stamp and trusted computing to be free from worries of possible common attacks, such as replay attack, guessing attack, stolen-verifier attack, denial of service attack, impersonation attack, and server spoofing attack. According to security analysis over insecure networks, the proposed scheme is the most secure scheme among the Peyravian-Zunic scheme, the Hwang-Yeh scheme, the Peyravian-Jeffries scheme, and the Wang-Zhang scheme. |
| Sponsorship | Eng. Technol. Press, Hong Kong |
| Starting Page | 400 |
| Ending Page | 403 |
| File Size | 483722 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769535609 |
| DOI | 10.1109/ISBIM.2008.138 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data security Information management Proposals Electronic commerce secure Computer crime Seminars password hash function Authentication Public key attack Public key cryptography Protection trusted computing authentication |
| Content Type | Text |
| Resource Type | Article |
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