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A Backpropagation Neural Network for Computer Network Security

The first step is to install the administration management tools. Agnitum Command Center, the main managing application is implemented as an MMC snap-in. It lets you manage Outpost Network Security Client installations over the network and control the other Outpost Network Security components (Client Configuration Editor to create and configure firewall settings, Agnitum Update Service, and Agnitum Publisher Service to publish and transfer your firewall settings to clients). Outpost Network Security does not need to be installed on a server or domain controller. It can be installed on any dedicated workstation where the Agnitum Update Service and Agnitum Publisher Service. | Journal of Computer Science 2 9 710-715 2006 ISSN 1549-3636 2006 Science Publications A Backpropagation Neural Network for Computer Network Security Khalil Shihab Department of Computer Science SQU Box 36 Al-Khod 123 Oman Abstract In this paper an efficient and scalable technique for computer network security is presented. On one hand the decryption scheme and the public key creation used in this work are based on a multi-layer neural network that is trained by backpropagation learning algorithm. On the other hand the encryption scheme and the private key creation process are based on Boolean algebra. This is a new potential source for public key cryptographic schemes which are not based on number theoretic functions and have small time and memory complexities. This paper along with test results show that the possibility of guessing keys is extremely weaker than using the Data Encryption Standard method DES which is a widely-used method of data encryption. The presented results are obtained through the use of MATLAB 6.5.1 software. Key words Security encryption decryption neural networks INTRODUCTION The problem of protecting information has existed since information has been managed. However as technology advances and information management systems become more and more powerful the problem of enforcing information security also becomes more critical 1 . The massive use of the communication networks for various purposes in the past few years has posed new serious security threats and increased the potential damage that violations may cause. As organizations are increasing their reliance on computer network environments they are becoming more vulnerable to security breaches. Private and public sectors more than ever today depend on the information they manage. A violation to the security of the information may jeopardize the whole system working and cause serious damages. Advances in artificial neural networks ANNs provide effective solutions to this problem 2 .