Approach For Data Mining Based Network Intrusion Prevention And Detection |
Author(s): |
| Aquib Shaikh , Mohammed Haji Saboo Siddik College of Engineering; Talha Ansari, Mohammed Haji Saboo Siddik College of Engineering; Zaki Ansari, Mohammed Haji Saboo Siddik College of Engineering; Farida Attar |
Keywords: |
| NIDS, DoS, Intrusions |
Abstract |
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In Today’s world of internet, there is a great need of some security measure to protect yourself from unwanted viruses or threats. There are a number of security systems available in the market such as anti-virus and firewall. These security systems provide protection from different viruses and harmful file extensions. In this paper, we propose a method to prevent and detect intrusions in network by monitoring the incoming packets. We will use data mining technique to make our system more predictable. This will include a File set that will store all the information regarding the packets such as the header information, its IP address. Once the packet arrives in the buffer it will be filtered by its port and protocol. Once this is done the attack handling and detection will be performed. We also include the local system security. |
Other Details |
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Paper ID: IJSRDV3I1653 Published in: Volume : 3, Issue : 1 Publication Date: 01/04/2015 Page(s): 1413-1415 |
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