Securing Cloud Cluster Environment from DDoS Attacks |
Author(s): |
| Prof. S. V. Bodake , JSPM's PVPIT; Sonalisha Behera, JSPM's PVPIT; Sanjeevani Jadhav, JSPM's PVPIT |
Keywords: |
| Attack, Hadoop, Security, DDOS, Mapreduce |
Abstract |
|
Many systems use servers to manage and store their data, sometimes the servers are slowed down because of multiple user requests. Most of which are attackers or unauthorized users and some are legitimate users. In computing, a denial-of-service (DoS) attack is an attempt to make a machine or network resource unavailable to its genuine users. A distributed denial-of-service (DDoS) is where the attack source is more than one, often thousands of unique IP addresses are included. Flooding is one of the typical DDoS attacks that exploit normal TCP connections between a client and a target web server. In this project we are trying to devise a DDoS anomaly detection method on Hadoop that implements a Map Reduce-based detection algorithm against the Flooding attacks. |
Other Details |
|
Paper ID: IJSRDV6I20604 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 3916-3918 |
Article Preview |
|
|
|
|
