Security Assessment of Software Design using Neural Network
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2012, Vol 1, Issue 4
Abstract
Security flaws in software applications today has been attributed mostly to design flaws. With limited budget and time to release software into the market, many developers often consider security as an afterthought. Previous research shows that integrating security into software applications at a later stage of software development lifecycle (SDLC) has been found to be more costly than when it is integrated during the early stages. To assist in the integration of security early in the SDLC stages, a new approach for assessing security during the design phase by neural network is investigated in this paper. Our findings show that by training a back propagation neural network to identify attack patterns, possible attacks can be identified from design scenarios presented to it. The result of performance of the neural network is presented in this paper.
Authors and Affiliations
A Adebiyi, Johnnes Arreymbi, Chris Imafidon
Keywords
Related Articles
- EP ID EP119737
- DOI -
- Views 119
- Downloads 0
Language Identification by Using SIFT Features
Two novel techniques for language identification of both, machine printed and handwritten document images, are presented. Language identification is the procedure where the language of a given document image is rec...
Security Assessment of Software Design using Neural Network
Security flaws in software applications today has been attributed mostly to design flaws. With limited budget and time to release software into the market, many developers often consider security as an afterthought. Prev...
Intelligent Agent based Flight Search and Booking System
The world globalization is widely used, and there are several definitions that may fit this one word. However the reality remains that globalization has impacted and is impacting each individual on this planet. It is def...
Optimum Band and Band Combination for Retrieving Total Nitrogen, Water, Fiber Content in Tealeaves Through Remote Sensing Based on Regressive Analysis
Optimum band and band combination for retrieving total nitrogen, water and fiber content in tealeaves with remote sensing data is investigated based on regressive analysis. Based on actual measured data of total ni...
Contradiction Resolution between Self and Outer Evaluation for Supervised Multi-Layered Neural Networks
In this paper, we propose a new type of informationtheoretic method. We suppose that a neuron should be evaluated from different points of view to precisely discern its properties. In this paper, we restrict ourselves to...