Abstract: A hybrid system or hybrid intelligent system uses the approach of integrating different learning or decision-making models. Each learning model works in a different manner and exploits different set of features. Integrating different learning models gives better performance than the individual learning or decision-making models by reducing their individual limitations and exploiting their different mechanisms. In this paper, a hybrid approach of classification is proposed which attempts to utilize the advantages of both decision trees and SVM leading to better classification accuracy.

• Publication Date: 09-Jul-2012
• DOI: 10.15224/978-981-07-2950-9-9753
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Abstract: Distributed systems could be more secured with a distributed trust model based on Kerberos. The limitation of existing kerberos protocol is that it can only be used as an authentication service. However for many distributed services the authenticated subscribers must be verified for access authorization and for cost recovery, billing and resource planning purpose. Traditional Kerberos authentication schemes do not meet distributed system requirements of authorization, failsafe operation, accounting of service usage and resilience to loss of connectivity. This paper presents a new AAA Kerberos model for heterogeneous systems which can meet the requirements of authentication, authorization and accounting.

• Publication Date: 09-Jul-2012
• DOI: 10.15224/978-981-07-2950-9-9757
• Views: 0
• Downloads: 0