论文信息 - Adaptive Model for Authentication Optimization Process

Adaptive Model for Authentication Optimization Process

A security architecture for web based distributed applications is proposed with accents on one of the security component, part of this framework. Optimization criteria is identified and discussed. The authentication is presented, identifying the possible directions to be addressed in the optimization process. An adaptive model of authentication is outlined and the advantages brought by it are debated. Optimization process is conducted to improve the overall security level. The model is validated, conclusions are drawn and future work is presented.

Mihai Doinea

[1] Sylvain Arlot,et al. A survey of cross-validation procedures for model selection , 2009, 0907.4728.

[2] Ion SMEUREANU. SPAM FILTERING FOR OPTIMIZATION IN INTERNET PROMOTIONS USING BAYESIAN ANALYSIS , 2011 .

[3] Eyke Hüllermeier,et al. On Pairwise Naive Bayes Classifiers , 2007, ECML.

[4] Peter A. Flach,et al. Naive Bayesian Classification of Structured Data , 2004, Machine Learning.

[5] Hasan Bal,et al. Comparing performances of backpropagation and genetic algorithms in the data classification , 2011, Expert Syst. Appl..

[6] David B. L. Bong,et al. Application of Neural Network in User Authentication for Smart Home System , 2009 .

[7] José Antonio Lozano,et al. Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8] Drago o Pãlãghiþã. Aspects Concerning the Optimization of Authentication Process for Distributed Applications , 2008 .

[9] Ioan Pop,et al. An approach of the Naive Bayes classifier for the document classification 1 , 2006 .

[10] Bingsheng He,et al. Bayesian Networks for Knowledge-Based Authentication , 2007 .

[11] Mihai Doinea. Security optimization of a distributed application with free access to resources , 2010 .