Dos Attack Stopover by using Honeypot and Data Mining |
Author(s): |
| Aishwarya Shrikant Patil , Zeal institute for business administration,computer application and research ; Abhishek Satish Kale , Zeal institute for business administration,computer application and research ; Dr. Babasaheb Mohite, Zeal institute for business administration,computer application and research |
Keywords: |
| DoS attack, DDoS attack, Network Security, Intrusion Detection, Honeypot, Honeyd |
Abstract |
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DoS attack causes a thoughtful threat to many IT industries. This type of attack is hard to detect because there are many different ways for attacker or hacker to attack. The main purpose of cyber-attack is to making the network services out of network resources so that it becomes unavailable to authorized users. Due to change in behaviour of hacker, it is difficult to find out the malicious cyber-attacks or detect the malicious network traffic. The main aim of dos attack is to hack the websites such as banking sites, transactional sites and domain name servers. In this paper we discuss about dos attack and the prevention methods of dos attack. Then we discuss dos attack prevention by using honeypots and honeyd methods. We use different data mining algorithms and intrusion detection system to prevent the attack. |
Other Details |
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Paper ID: IJSRDV8I10688 Published in: Volume : 8, Issue : 1 Publication Date: 01/04/2020 Page(s): 916-918 |
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