Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/306506
Title: A Novel Framework to Detect and Prevent DDoS Attack Using Software Defined Networking
Researcher: Sumit Badotra
Guide(s): Surya Narayan Panda
Keywords: Computer Science
Computer Science Software Engineering
Engineering and Technology
University: Chitkara University, Punjab
Completed Date: 2020
Abstract: Due to the tight coupling of control plane and data plane inside proprietary hardware traditional newlinenetworks are suffering from multiple disadvantages. One of the biggest challenges is security. newlineNowadays there are many network threats and attacks available. DDoS attacks are one of the most newlinepopular and disruptive attack among all. Despite the large number of traditional mitigation newlinesolutions that exists today, DDoS attacks continue to grow in frequency, volume, and severity. newlineThis call for a new network paradigm to address the requirements of today s challenging security newlinethreats. In order to meet the real time, need of the exponential big giant network, SDN has come newlineinto existence. There are many advantages of SDN such as easy manageability, scalability, agility newlinebut security is one of the prominent advantages. SDS can be defined as a model in which newlineimplementation of the new security policies in the computing environment is achieved through newlinesecured software. newline
Pagination: 
URI: http://hdl.handle.net/10603/306506
Appears in Departments:Faculty of Computer Science

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abstract.pdf359.03 kBAdobe PDFView/Open
certificates.pdf422.66 kBAdobe PDFView/Open
chapter 1.pdf1.11 MBAdobe PDFView/Open
chapter 2.pdf584.52 kBAdobe PDFView/Open
chapter 3.pdf1.5 MBAdobe PDFView/Open
chapter 4.pdf1.44 MBAdobe PDFView/Open
chapter 5.pdf1.38 MBAdobe PDFView/Open
chapter 6.pdf713.9 kBAdobe PDFView/Open
chapter 7.pdf416 kBAdobe PDFView/Open
preliminary pages.pdf609.31 kBAdobe PDFView/Open
references.pdf466.85 kBAdobe PDFView/Open
title page.pdf298.94 kBAdobe PDFView/Open
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