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Defending Stealthy Mode Attack by Live Detection and Adoptable Learning Technique
MR. N. ARAVINDHU, G. VAISHNAVI, D. MAHESWARI Senoir Assistant Professor, CSE, Christ college of Engineering & Technology, Puducherry, India Student, CSE, Christ college of Engineering & Technology, Puducherry, India Student, CSE, Christ college of Engineering & Technology, Puducherry, India
Abstract: This work employees complete stopping of the botnet attack made by botmaster. The attack is made by passing the codeword comments by DNS based stealthy mode command and control channel from one system to another system to hijack the server. Usually we can able to identify the attack only after the attack has been made by the botmaster. But by using Botnet Tracking Tool (BTT) we can keep track of the codeword being used. The attack is prevented by making use of the Botnet Tracking Tool (BTT). We continuously monitor the attack made by the botmaster and the bots. The attack is concurrently checked in the database for the pre-defined codeword and if the attack has been found it would be stopped from further attack. If suppose the new codeword is found during the attack that codeword would be stored in the database future use and then isolates them. It does not allow until a proper authorization is made and clarifies them not as bot master.
Keywords: Network security,codewords, DNS security,botnet detection, botnet tracking tool (BTT),command and control.
How to Cite:
[1] MR. N. ARAVINDHU, G. VAISHNAVI, D. MAHESWARI Senoir Assistant Professor, CSE, Christ college of Engineering & Technology, Puducherry, India Student, CSE, Christ college of Engineering & Technology, Puducherry, India Student, CSE, Christ college of Engineering & Technology, Puducherry, India, βDefending Stealthy Mode Attack by Live Detection and Adoptable Learning Technique,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)