DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-4, Issue-7 ( Jul, 2016 ) | |||||||||
Paper Title |
Statistical Approaches For Network Anomaly Detection For UDP Spoofing | |||||||||
Author Name |
Anup Ingle, Aditya Wagh, Rajneesh Sharma, Akshay Shikre | |||||||||
Affilition |
Department of Electronics and Telecommunication, VIIT, Pune | |||||||||
Pages |
4-7 | |||||||||
Abstract |
This Paper represents an abnormal network traffic detecting method for the detection of UDP spoofing attacks and other spoofing attacks. In this paper we have analyzed UDP packets in normal traffic with the tool named Wireshark .We have also compared normal traffic of packets with the traffic generated after the UDP spoofing attack in Linux based environment and we analyzed the network in our own interface which made I windows . Anomaly detection is made available for no of spoofing attack environments and normal traffic environments in the organization. Keywords— Dos attack, IP Spoofing, Network security. | |||||||||
| View Paper | ||||||||||
