Asymptotic Security Key Generation and Distribution Algorithm
||International Journal of Computer & Organization Trends (IJCOT)||
|© 2012 by IJCOT Journal|
|Year of Publication : 2012|
|Authors : Akash K Singh,|
Akash K Singh, Article:Asymptotic Security Key Generation and Distribution Algorithm. International Journal of Computer & organization Trends (IJCOT), V2(6):51-81 Nov - Dec 2012. Published by Seventh Sense Research Group.
Service-oriented Architectures (SOA) facilitate the dynamic and seamless integration of services offered by different service providers which in addition can be located in different trust domains. Especially for business integration scenarios, Federated Identity Management emerged as a possibility to propagate identity information as security assertions across company borders in order to secure the interaction between different services. Although this approach guarantees scalability regarding the integration of identity-based services, it exposes a service provider to new security risks. These security risks result from the complex trust relationships within a federation. In a federation the authentication of a user is not necessarily performed within the service provider’s domain, but can be performed in the user’s local domain. Consequently, the service provider has to rely on authentication results received from a federation partner to enforce access control. This implies that the quality of the authentication process is out of control by the service provider and therefore becomes a factor which needs to be considered in the access control step. In order to guarantee a designated level of security, the quality of the authentication process should be part of the access control decision. To ease this process, we propose in this paper a method to rate authentication information by a level of trust which describes the strength of an authentication method. Additionally, in order to support the concept of a two-factor authentication, we also present a mathematical model to calculate the trust level when combining two authentication methods. Quantitative Trust Management (QTM) provides a dynamic interpretation of authorization policies for access control decisions based on upon evolving reputations of the entities involved. QuanTM, a QTM system, selectively combines elements from trust management and reputation management to create a novel method for policy evaluation. Trust management, while effective in managing access with delegated credentials (as in PolicyMaker and KeyNote), needs greater flexibility in handling situations of partial trust. Reputation management provides a means to quantify trust, but lacks delegation and policy enforcement. This paper reports on QuanTM’s design decisions and novel policy evaluation procedure. A representation of quantified trust relationships, the trust dependency graph, and a sample QuanTM application specific to the KeyNote trust management language, are also proposed.
 Dynamics and Control of Large Electric Power Systems. Ilic, M. and Zaborszky, J. John Wiley & Sons, Inc. © 2000, p. 756.
 Modeling and Evaluation of Intrusion Tolerant Systems Based on Dynamic Diversity Backups. Meng, K. et al. Proceedings of the 2009 International Symposium on Information Processing (ISIP’09). Huangshan, P. R. China, August 21-23, 2009, pp. 101–104
 Characterizing Intrusion Tolerant Systems Using A State Transition Model. Gong, F. et al., April 24, 2010.
 Energy Assurance Daily, September 27, 2007. U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability, Infrastructure Security and Energy Restoration Division. April 25, 2010.
 CENTIBOTS Large Scale Robot Teams. Konoledge, Kurt et al. Artificial Intelligence Center, SRI International, Menlo Park, CA 2003.
 Handling Communication Restrictions and Team Formation in Congestion Games, Agogino, A. and Tumer, K. Journal of Autonomous Agents and Multi Agent Systems, 13(1):97–115, 2006.
 Robotics and Autonomous Systems Research, School of Mechanical, Industrial and Manufacturing Engineering, College of Engineering, Oregon State University
 D. Dietrich, D. Bruckner, G. Zucker, and P. Palensky, “Communication and computation in buildings: A short introduction and overview,” IEEE Trans. Ind. Electron., vol. 57, no. 11, pp. 3577–3584, Nov. 2010.
 V. C. Gungor and F. C. Lambert, “A survey on communication networks for electric system automation,” Comput. Networks, vol. 50, pp. 877–897, May 2006.
 S. Paudyal, C. Canizares, and K. Bhattacharya, “Optimal operation of distribution feeders in smart grids,” IEEE Trans. Ind. Electron., vol. 58, no. 10, pp. 4495–4503, Oct. 2011.
 D. M. Laverty, D. J. Morrow, R. Best, and P. A. Crossley, “Telecommunications for smart grid: Backhaul solutions for the distribution network,” in Proc. IEEE Power and Energy Society General Meeting, Jul. 25– 29, 2010, pp. 1–6.
 L. Wenpeng, D. Sharp, and S. Lancashire, “Smart grid communication network capacity planning for power utilities,” in Proc. IEEE PES, Transmission Distrib. Conf. Expo., Apr. 19–22, 2010, pp. 1–4.
 Y. Peizhong, A. Iwayemi, and C. Zhou, “Developing ZigBee deployment guideline under WiFi interference for smart grid applications,” IEEE Trans. Smart Grid, vol. 2, no. 1, pp. 110–120, Mar. 2011.
 C. Gezer and C. Buratti, “A ZigBee smart energy implementation for energy efficient buildings,” in Proc. IEEE 73rd Veh. Technol. Conf. (VTC Spring), May 15–18, 2011, pp. 1–5.
 R. P. Lewis, P. Igic, and Z. Zhongfu, “Assessment of communication methods for smart electricity metering in the U.K.,” in Proc. IEEE PES/IAS Conf. Sustainable Alternative Energy (SAE), Sep. 2009, pp. 1–4.
 A. Yarali, “Wireless mesh networking technology for commercial and industrial customers,” in Proc. Elect. Comput. Eng., CCECE,May 1–4, 2008, pp. 000047–000052.
 M. Y. Zhai, “Transmission characteristics of low-voltage distribution networks in China under the smart grids environment,” IEEE Trans. Power Delivery, vol. 26, no. 1, pp. 173–180, Jan. 2011.
 V. Paruchuri, A. Durresi, and M. Ramesh, “Securing powerline communications,” in Proc. IEEE Int. Symp. Power Line Commun. Appl., (ISPLC), Apr. 2–4, 2008, pp. 64–69.
 Q.Yang, J. A. Barria, and T. C. Green, “Communication infrastructures for distributed control of power distribution networks,” IEEE Trans. Ind. Inform., vol. 7, no. 2, pp. 316–327, May 2011.
 T. Sauter and M. Lobashov, “End-to-end communication architecture for smart grids,” IEEE Trans. Ind. Electron., vol. 58, no. 4, pp. 1218–1228, Apr. 2011.
 K. Moslehi and R. Kumar, “Smart grid—A reliability perspective,” Innovative Smart Grid Technologies (ISGT), pp. 1–8, Jan. 19–21, 2010.
 Southern Company Services, Inc., “Comments request for information on smart grid communications requirements,” Jul. 2010
 R. Bo and F. Li, “Probabilistic LMP forecasting considering load uncertainty,” IEEE Trans. Power Syst., vol. 24, pp. 1279–1289, Aug. 2009.
 Power Line Communications, H. Ferreira, L. Lampe, J. Newbury, and T. Swart (Editors), Eds. New York: Wiley, 2010.
 G. Bumiller, “Single frequency network technology for fast ad hoc communication networks over power lines,” WiKu-Wissenschaftsverlag Dr. Stein 2010.
 G. Bumiller, L. Lampe, and H. Hrasnica, “Power line communications for large-scale control and automation systems,” IEEE Commun. Mag., vol. 48, no. 4, pp. 106–113, Apr. 2010.
 M. Biagi and L. Lampe, “Location assisted routing techniques for power line communication in smart grids,” in Proc. IEEE Int. Conf. Smart Grid Commun., 2010, pp. 274–278.
 J. Sanchez, P. Ruiz, and R. Marin-Perez, “Beacon-less geographic routing made partical: Challenges, design guidelines and protocols,” IEEE Commun. Mag., vol. 47, no. 8, pp. 85–91, Aug. 2009.
 N. Bressan, L. Bazzaco, N. Bui, P. Casari, L. Vangelista, and M. Zorzi, “The deployment of a smart monitoring system using wireless sensors and actuators networks,” in Proc. IEEE Int. Conf. Smart Grid Commun. (SmartGridComm), 2010, pp. 49–54.
 S. Dawson-Haggerty, A. Tavakoli, and D. Culler, “Hydro: A hybrid routing protocol for low-power and lossy networks,” in Proc. IEEE Int. Conf. Smart Grid Commun. (SmartGridComm), 2010, pp. 268–273.
 S. Goldfisher and S. J. Tanabe, “IEEE 1901 access system: An overview of its uniqueness and motivation,” IEEE Commun. Mag., vol. 48, no. 10, pp. 150–157, Oct. 2010.
 V. C. Gungor, D. Sahin, T. Kocak, and S. Ergüt, “Smart grid communications and networking,” Türk Telekom, Tech. Rep. 11316-01, Apr 2011.
Trust management, Trust levels, Authentication and Access Control, Web Service Federation, Federated Identity Management