Securing Cloud Server from DDoS Attack
| Author(s) | : | Minal Nerkar, MayurHiwarkar, Kunal Parkar, Sukirti Singh, Rutuja Butle |
| Institution | : | Computer Engineering, AISSMS IOIT |
| Published In | : | Vol. 4, Issue 16 — January 2017 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
A distributed denial-of-service (DDoS) is where the attack source is more than one, often thousands of unique IPaddresses. Flooding is one of the typical DDoS attacks that exploit normal TCP connections between a client and a targetweb server. In this project we are trying to devise a DDoS anomaly detection method on cloud that implements a data miningdetection algorithm against the Flooding attacks.Detection of DDoS Attack is a basic measure towards defense. DDoSattacks may result in system performance degradation of the targeted network, which can cause the services intended to thegenuine users not in function or may produce delayed results.In this project we will detect a real-time DoS attack from anumber of machines on the live cloud and allow the genuine users to access the service without any lag and block the baduser and prevent the DDoS attack.
Minal Nerkar, MayurHiwarkar, Kunal Parkar, Sukirti Singh, Rutuja Butle, “Securing Cloud Server from DDoS Attack”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 16, pp. -, January 2017.
