A Study On u-Healthcare Information Security Using Real-Time Technique of Key Generation Based Bio information 


Vol. 33,  No. 2, pp. 7-13, Feb.  2008


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  Abstract

If medical information is used numbers of researches and medical scientist by without permission, it can be seriously violated about personal privacy. The security weakness of ubiquitous healthcare has form similar to existing service based wireless network and has new security weakness by new mobile equipment and due to characteristic of medical information. This paper consider security threaten between mobile device and medical information system about ubiquitous healthcare. Then it propose real-time technique of asymmetric key generation based biometric. The algorithm The asymmetric key generation abstract 1024-bit characteristic information by three random fingerprint, which abstract hash code of 160-bit by use input value of SHA-1 hash algorithm. then three hash code use to generate p, q, e value of RSA algorithm. As a result, this paper can remove problem about private key loss and Euler function exposure by real-time asymmetric key generation. The generated asymmetric key can remove various security threaten about medical information by electronic signature technique based WPKI.

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  Cite this article

[IEEE Style]

K. Chang-Bok and K. Nam-il, "A Study On u-Healthcare Information Security Using Real-Time Technique of Key Generation Based Bio information," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 2, pp. 7-13, 2008. DOI: .

[ACM Style]

Kim Chang-Bok and Kim Nam-il. 2008. A Study On u-Healthcare Information Security Using Real-Time Technique of Key Generation Based Bio information. The Journal of Korean Institute of Communications and Information Sciences, 33, 2, (2008), 7-13. DOI: .

[KICS Style]

Kim Chang-Bok and Kim Nam-il, "A Study On u-Healthcare Information Security Using Real-Time Technique of Key Generation Based Bio information," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 2, pp. 7-13, 2. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880