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  Published Paper Details:

  Paper Title

A Survey On Emergent Firewall Techniques Over Traditional Firewalls

  Authors

  Pratyush Sanadhya,  Vanshika Thakur,  B. Chandra Mohan

  Keywords

Information Security, Firewall, Machine Learning, Software Defined Network

  Abstract


Now-a-days the effectiveness in firewall become major requirement due to huge hackers, hence comparison of Emergent Firewall Techniques (EFT) with Traditional Firewall Techniques (TFT) is focused in this paper. TFT has been the most commonly used security approach in the past. This paper highlights the limitations of TFT in protecting against emerging security threats, whereas the EFT uses a more dynamic approach which allows for real-time security adaptation and response to emerging threats. The paper analyzes a range of EFT techniques such as Machine Learning-based EFT, Cloud-based EFT, and Software-Defined Networking (SDN) based EFT, and provides evidence of superior performance compared to TFT in terms of threat detection, response time, and accuracy. The results of this survey paper demonstrate that EFT is a more effective approach for securing modern networks against ever-evolving security threats, and highlights the need for organizations to consider the adoption of EFT in their security strategies.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2303891

  Paper ID - 233439

  Page Number(s) - h530-h537

  Pubished in - Volume 11 | Issue 3 | March 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Pratyush Sanadhya,  Vanshika Thakur,  B. Chandra Mohan,   "A Survey On Emergent Firewall Techniques Over Traditional Firewalls", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 3, pp.h530-h537, March 2023, Available at :http://www.ijcrt.org/papers/IJCRT2303891.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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