Titlebook: Computational Intelligence in Information Systems; Proceedings of the C Saiful Omar,Wida Susanty Haji Suhaili,Somnuk Phon- Conference proce

Favorable

Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network13 dataset to train and evaluate the Botnet detection classifier. It is implemented and tested in various neural network designs with different hidden layers. Results demonstrate that the proposed technique is promising in terms of accuracy and efficiency of Botnet detection.

評(píng)論者

A Framework to Detect Compromised Websites Using Link Structure Anomaliesexperiment using the Java language, computation is done before a website is compromised and after a website is compromised and the results are compared. The results show that when a website is compromised, its PageRank can go do down to indicate that this website is compromised.

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RODE

M. Werner,G. W. Cole,S. H. Brookstandard Kalman filtering algorithm, data obtained from one low-cost sensor together with an AR of order 1 are used in the prediction stage, and data obtained from another sensor are used in the measurement update stage. Experimental results show that this technique can improve the measurement accuracy between approximately . and ..

隼鷹

Independent and Distributed Access to Encrypted Cloud DatabasesWe propose Secure DBaaS architecture because this enables cloud tenants to acquire full advantage of DBaaS qualities, like accessibility, scalability and reliability, while not exposing unencrypted information to the cloud supplier.

果仁

Improving Accuracy of Dissolved Oxygen Measurement in an Automatic Aerator-Control System for Shrimptandard Kalman filtering algorithm, data obtained from one low-cost sensor together with an AR of order 1 are used in the prediction stage, and data obtained from another sensor are used in the measurement update stage. Experimental results show that this technique can improve the measurement accuracy between approximately . and ..

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六邊形

Higher Order Spectral Analysis of Vibration Signals and Convolutional Neural Network for the Fault Dnetwork (CNN) to complete the desired task. The results of the proposed algorithm show satisfactory performance under variable speed conditions. The results are compared with that of two other algorithms that advocate the efficacy of the proposed model under variable shaft speed.

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