Informatics Publishing Limited

Y. Kalpana ¹, S. Purushothaman ², R. Rajeswari ³

Affiliations
1 VELS University, Pallavaram, Chennai-600117, IN
2 PET Engineering College, Vallioor-627117, IN
3 Mother Teresa Women's University, Kodaikanal-624102, IN

Abstract

Intrusion detection is the art of detecting computer abuse and any attempt to break into networks. As a field of research, it must continuously change and evolve to keep up with new types of attacks or adversaries and the ever-changing environment of the Internet. To make networks more secure, intrusion-detection systems (IDS) aims to recognize attacks. Artificial neural networks (ANN) based IDS were implemented and tested. The goal for using ANNs for intrusion detection is to generalize from incomplete data and able to classify data as being normal or intrusive. An ANN consists of a collection of processing elements that are highly interconnected. Given a set of inputs and a set of desired outputs, the transformation from input to output is determined by the weights associated with the inter-connections among processing elements. By modifying these interconnections, the network adapts to desired outputs. The ability of high tolerance for learning-by-example makes neural networks flexible and powerful in IDS. This paper has implemented Echo state neural network and Radial basis function applied to intrusion detection. The scope of the work includes using the available KDD database.

Keywords

Radial Basis Function (RBF) Networks Echo State Neural Networks (ESNN), KDD Features, Intrusion Detection.

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G . Monika ¹, Y. Kalpana ¹

Affiliations
1 Department of Computer Application, Vels University, Chennai – 600117, Tamil Nadu, IN

Abstract

Objectives: Cloud computing is a vast technology which is growing very fast in the IT environment. The cloud computing faces many security issues both in the service provider side and client side. Methods/Statistical Analysis: This paper carries forward the analysis of security issues and its solutions. There are many issues discussed earlier some are with solutions and encryption techniques. Few issues are still with unfound solutions too and researchers are trying to solve them. Cloud computing has problem with storage procedure since the data are stored in the data center far away from the source system. Many common security issues are discussed in the paper and the major security is taken as the data security. Findings: This paper says that data security is the major issue in the security concern because both the service provider and client are worried about the data. The data is the target for the hijackers for attacking the data center server. The data security issues are also analyzed and some solutions are discussed in this paper. Applications/Improvements: Further this paper could be enhanced by broadly discussing the solutions of the security issues.

Keywords

Client, Cloud Computing, Data Security, Encryption, Security, Server.

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