Abstract
Inspired by the principles of the human natural trust, a gene-certificate based model for user authentication and access control is proposed in this paper. With the formal definitions of gene-certificate, network-family, family member and gene defined, the algorithms of gene assignment, access control policy, gene signature, and gene-certificate generation, are described. Following that, the methods of network family construction and gene-certificate based authentication and access control, are designed. Stimulation results and theoretical analysis show that the presented model is valid, and it has the features of better safety. Thus, it provides an effective novel solution to network security.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Balthrop, J., Forrest, S., Newman, M.E.J., Williamson, M.M.: Technological Networks and the Spread of Computer Virus. Science 304, 527–529 (2004)
Ellison, C., Schneier, B.: Ten Risks of PKI: What You’re Not Being Told About Public Key Infrastructure. Computer Security J. 16, 1–7 (2000)
Harn, L., Lin, H.Y.: Integration of User Authentication and Access Control. IEEE Proceedings - Computers and Digital Techniques 139, 139–143 (1992)
Jan, J.K., Tseng, Y.M.: Two Integrated Schemes of User Authentication and Access Control in a Distributed Computer Network. IEEE Proceedings - Computers and Digital Techniques 145, 419–424 (1998)
Chien, H.Y., Jan, J.K.: An Integrated User Authentication And Access Control Scheme Without Public Key Cryptography. In: 2003 IEEE International Conference on Security Technology, pp. 137–143. IEEE, New York (2003)
Chen, Y.C., Yeh, L.Y.: An Efficient Authentication and Access Control Scheme Using Smart Cards. In: 11th International Conference on Parallel and Distributed Systems, pp. 78–82. IEEE Computer Soc., Los Alamitos (2005)
Li, T.: Computer Immunology. Publishing House of Electronics Industry, Beijing (2004)
Sun, F., Kong, M., Wang, J.: An Immune Danger Theory Inspired Model for Network Security Threat Awareness. In: 2010 International Conference on Multimedia and Information Technology, vol. 2, pp. 93–95 (2010)
Sun, F., Han, X., Wang, J.: An Immune Danger Theory Inspired Model for Network Security Monitoring. In: 2010 International Conference on Challenges in Environmental Science and Computer Engineering, vol. 2, pp. 33–35 (2010)
Sun, F., Wu, Z.: A New Risk Assessment Model for E-Government Network Security Based on Antibody Concentration. In: 2009 International Conference on E-Learning, E-Business, Enterprise Information Systems, and E-Government, pp. 119–121 (2009)
Sun, F., Xu, F.: Antibody Concentration Based Method for Network Security Situation Awareness. In: 3nd International Conference on Bioinformatics and Biomedical Engineering, vol. 1, pp. 1–4 (2009)
Sun, F., Zheng, Q., Li, T.: Immunity-Based Dynamic Anomaly Detection Method. In: 2nd International Conference on Bioinformatics and Biomedical Engineering, vol. 1, pp. 644–647 (2008)
Liu, F., Pan, X.Y.: Block Motion Estimation Based on Immune Clonal Selection. J. of Software 18, 850–860 (2007)
Kim, M., Seo, J.: Network Anomaly Behavior Detection Using an Adaptive Multiplex Detector. In: Gavrilova, M.L., Gervasi, O., Kumar, V., Tan, C.J.K., Taniar, D., Laganá, A., Mun, Y., Choo, H. (eds.) ICCSA 2006. LNCS, vol. 3982, pp. 154–162. Springer, Heidelberg (2006)
Eigeles, D.: Intelligent Authentication, Authorization, and Administration (I3A). Information Management & Computer Security 14, 5–23 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sun, F. (2010). Gene-Certificate Based Model for User Authentication and Access Control. In: Wang, F.L., Gong, Z., Luo, X., Lei, J. (eds) Web Information Systems and Mining. WISM 2010. Lecture Notes in Computer Science, vol 6318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16515-3_29
Download citation
DOI: https://doi.org/10.1007/978-3-642-16515-3_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16514-6
Online ISBN: 978-3-642-16515-3
eBook Packages: Computer ScienceComputer Science (R0)