BRIEFS BY AUTHOR BRIEFS CASE NOTES BY AUTHOR CASE NOTES BY TITLE Page 1
Cumulative Index: Vols. 1-10 BRIEFS BY AUTHOR BEASLEY, VICKY L., DEVON W …

In order to solve the problem that there exists unbalanced detection performance on different
types of attacks in current large-scale network intrusion detection algorithms, Distributed …

Different soft-computing based methods have been proposed in recent years for the
development of intrusion detection systems. The purpose of this work is to development …

This paper presents an efficient and scalable algorithm for classification of cyber attack. The
performance of traditional SVM is enhanced in this work by modifying Gaussian kernel to …

This paper presents a novel cyber attack classification approach using improved Support
Vector Machine (iSVM) by modifying Gaussian kernel. The Support Vector Machine (SVM) is …

To improve the classification accuracy and reduce the training time, an intrusion detection
technology is proposed, which combines feature extraction technology and multiclass …

In this paper, we propose a new intrusion detection technology which combines feature
extraction with wavelet clustering method. Our intrusion detection model setup has two …

Network intrusion detection is a complex research problem especially when it deals with
unknown patterns. Furthermore, if the amount of audit data instances is large, human …

This paper presents the study of fluid flow and heat transfer in a plain rectangular duct of a
solar air heater by using Computational Fluid Dynamics (CFD). The effect of Reynolds …

APPLICATION OF PARTIAL-CONNECTED DYNAMIC AND GAOPTIMIZED NEURAL
NETWORKS TO MISUSE DETECTION USING CATEGORIZED AND RANKED INPUT Page 1 …