A WEB APPLICATION DETECTING DOS ATTACK USING MCA AND TAM

Pratik Sawant, Minal Sable, Pooja Kore, Shital Bhosale

Abstract: Interconnected systems, such as all kind of servers including web servers, are been always under the threats of network attackers. There are many popular attacks like man in middle attack, cross site scripting, spamming etc. but Denial of service attack is considered to be one of most dangerous attack on the networked applications. The attack causes many serious issues on these computing systems A denial-of-service (DoS) attack is an attempt to make a machine or network resource unavailable to the intended users. The performance of the server is reduced by the DoS attack, so, to increase the efficiency of the server, detection of the attack is necessary. Hence Multivariate Correlation Analysis’ issued, this approach employs triangle area for extracting the correlation information between network traffic. Our implemented system is evaluated using KDD Cup 99 data set, and the treatment of both non-normalized data and normalized data on the performance of the proposed detection system are examined. The implemented system has capability of learning new patterns of legitimate network traffic hence it detect both known and unknown types of DoS attacks and we can say that It is working on the principle of anomaly based attack detection. Trianglearea-based technique is used to speed up the process. The stored legitimate profiles has to keep secured so Detection e=mechanism for the SQL injection is also implemented in the system. The system designed to carry out attack detection is a question-answer portal i.e. a web application and hence the system is using HTTP protocol unlike previous systems which were using TCP.

Keywords: Denial-of-Service attack, Features Normalization, Triangle Area Map(TAM), Multivariate Correlation Analysis(MCA), anomaly based detection, SQL injection, HTTP, and TCP,

DOI: https://doi.org/10.15623/ijret.2015.0404140