Flexible Digital Authentication Techniques

Flexible Digital Authentication Techniques

Date: May 2006
Creator: Ge, He
Description: Abstract This dissertation investigates authentication techniques in some emerging areas. Specifically, authentication schemes have been proposed that are well-suited for embedded systems, and privacy-respecting pay Web sites. With embedded systems, a person could own several devices which are capable of communication and interaction, but these devices use embedded processors whose computational capabilities are limited as compared to desktop computers. Examples of this scenario include entertainment devices or appliances owned by a consumer, multiple control and sensor systems in an automobile or airplane, and environmental controls in a building. An efficient public key cryptosystem has been devised, which provides a complete solution to an embedded system, including protocols for authentication, authenticated key exchange, encryption, and revocation. The new construction is especially suitable for the devices with constrained computing capabilities and resources. Compared with other available authentication schemes, such as X.509, identity-based encryption, etc, the new construction provides unique features such as simplicity, efficiency, forward secrecy, and an efficient re-keying mechanism. In the application scenario for a pay Web site, users may be sensitive about their privacy, and do not wish their behaviors to be tracked by Web sites. Thus, an anonymous authentication scheme is desirable in this case. That is, a ...
Contributing Partner: UNT Libraries
UNT 2005 TREC QA Participation: Using Lemur as IR Search Engine

UNT 2005 TREC QA Participation: Using Lemur as IR Search Engine

Date: 2005
Creator: Chen, Jiangping; Yu, Ping & Ge, He
Description: This paper reports the authors' TREC 2005 QA participation. The authors' QA system Eagle QA developed last year was expanded and modified for this year's QA experiments. Particularly, the authors used Lemur 4.1 as the Information Retrieval (IR) Engine this year to find documents that may contain answers for the test questions from the document collection. The authors' result shows Lemur did a reasonable job on finding relevant documents. But certainly there is room for further improvement.
Contributing Partner: UNT College of Information
UNT at TREC 2004: Question Answering Combining Multiple Evidences

UNT at TREC 2004: Question Answering Combining Multiple Evidences

Date: 2004
Creator: Chen, Jiangping; Ge, He; Wu, Yan & Jiang, Shikun
Description: This paper discusses Question Answering (QA) combining multiple evidences.
Contributing Partner: UNT College of Information
Chinese QA and CLQA: NTCIR-5 QA Experiments at UNT

Chinese QA and CLQA: NTCIR-5 QA Experiments at UNT

Date: December 2005
Creator: Chen, Jiangping; Li, Rowena; Yu, Ping; Ge, He; Chin, Pok; Li, Fei et al.
Description: This paper describes our participation in the NTCIR-5 CLQA task.
Contributing Partner: UNT College of Information