• M.AARTHI
• R.SUBATHRA DEVI

In this paper to recommend the imposition finding model based on the user request. The request data which is being uploaded by the user to the cloud server is a confidential one and only he or she has to only access that particular data. The clouds sever encrypts the user uploaded data with the Advanced Standard Encryption Algorithm (AES) and stores it. While storing the data the respective user mother board serial number, IP Address and MAC Address are captured and the data is only shared to the respective user when he or she request for it. In earlier days only the IP address is validated and the process of IP White listing is performed. This process is the simplest one and it is broken down by ethical hackers using Sniffer Attack. In order to overcome this problem we had introduced mother board serial number, IP Address and MAC Address validation which uploading and downloading the data from the cloud server. We are going to predict the multiple requests from the same user and block them by analyze mother board serial number, IP and MAC Address. When a client induces the huge number of demand from his system, he is difficult to induce the DDOS attack; we will analyze the user mother board serial number, Mac address and IP and we will block them from viewing the other user’s data. Henceforth the data which is saved in the public or private cloud server is safe guarded from the hackers

Keyword: web application, telegraph, IP address

"A HYBRID COMPUTING BASED INTRUSION DETECTION MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.20-21, June 2019, Available :http://www.jetir.org/papers/JETIR1906Z04.pdf

"A HYBRID COMPUTING BASED INTRUSION DETECTION MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp20-21, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Z04.pdf