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This paper describes a web application intended to be used to evaluate the efficiency of Netsparker, Acunetix and Burp Suite web application vulnerability scanners. This paper also explains the defense measures to secure the application significantly. The results of web application evaluation identify the most challenging vulnerabilities for scanner to detect, and compare the effectiveness of scanners. The assessment results suggest the areas that require further research to improve scanner"s detection rate.

This paper proposed a five dimensional taxonomy ADMIT which captures five major classifiers to characterize the nature of attacks. These are classification by attack vector, classification by defense, classification by method, classification by impact and classification by attack target. The classification structure of proposed taxonomy described the nature of attacks thoroughly. The administrator can use the proposed taxonomy to locate strategies that are appropriate for securing their system against vulnerabilities that can be exploited. Use of ADMIT taxonomy in network defense strategies can improve the overall level of security.

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