Detecting Intruders in the Web Using CNN RNN Algorithms in Deep Learning
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 1)Publication Date: 2020-01-30
Authors : R.Ramya; M.Pearline Joy Kiruba; A.Lathika; P.Grupsgaya; N.Deepa;
Page : 150-155
Keywords : Deep learning; Neural Networks; CNN; RNN; Cyber attack;
Abstract
Cyber security is more important in many fields such as government, military etc., because the government, military, corporate, financial and medical organizations collect process and store unprecedented amounts of data on computers and other devices. A significant portion of that data can be sensitive information whether that be intellectual, financial data, personal information or other types of data for which unauthorized access or exposure could have negative consequences. In our approach is we can find the attack types using in deep learning methods. In this paper we develop a desktop application which identifies the attack occurred in the web application and sends a notification to the web server system.
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Last modified: 2020-02-03 01:03:13