Detection Of Distributed Denial of Service Attack With Hadoop On Live Network
Author(s):
Suchita Korad, Madhuri Jadhav, Shubhada Kadam, Prajakta Deore , Prof.Rahul Patil
Keywords:
Hadoop, HDFS, DDoS, Flooding attacks
Abstract
Distributed Denial of Service i.e. DDoS flooding attacks are one of the biggest challenges to the availability of online services now-a-days. These DDoS attacks overwhelm the victim with huge volume of traffic and render it incapable of performing communication or crashes it completely. If there are delays in detecting the flooding attacks, we have to manually disconnect the victim and fix the problem. With the rapid increase of DDoS attack volume and frequency, the current DDoS detection techniques are challenged to deal with huge attack volume in reasonable and affordable response time.In this paper, we had proposed, a Hadoop based Live DDoS Detection framework to tackle efficient analysis of flooding attacks by using core components of Hadoop like MapReduce and HDFS. We implemented a counter-based DDoS detection algorithm for four major flooding attacks (TCP-SYN, UDP and ICMP, HTTP GET) in MapReduce, consisting of mapper and reducer functions. We deployed a testbed to evaluate the performance of Hadoop framework for live DDoS detection. Based on the experiment we showed that Hadoop is capable of processing and detecting DDoS attacks in affordable time.
Article Details
Unique Paper ID: 143688

Publication Volume & Issue: Volume 3, Issue 1

Page(s): 269 - 272
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Latest Publication

Go To Issue



Call For Paper

Volume 9 Issue 10

Last Date for paper submitting for March Issue is 25 March 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers