A Survey on the Network Intrusion Detection System Using Data Mining Techniques

Authors

  • Saumya Saraswat  Department of Computer Science Application, ITM University, Gwalior, Madhya Pradesh, India
  • Rahul Yadav  Department of Computer Science Application, ITM University, Gwalior, Madhya Pradesh, India
  • Phalguni Pathak  Department of Computer Science Application, ITM University, Gwalior, Madhya Pradesh, India

DOI:

https://doi.org/10.32628/CSEIT2062165

Keywords:

Architecture, Attack, Detection, IDS, Prevention, Detection

Abstract

The idea of making everything available easily and universally has led to a revolution in the field of networking. Despite the tremendous growth of technologies in the field of networks and information technology, we still cannot avoid the theft / attack of our resources. This may not apply to small organizations, but it is a serious problem regarding industry / business or national security. Organizations face an increasing number of threats every day in the form of viruses, intrusions, etc. Since organizations have opted for many different mechanisms in the form of intrusion detection and prevention systems to protect themselves from this type of attack, there are many breach security systems that go undetected. To understand safety hazards and intrusion detection and prevention (IDPS) systems, we will first analyze common security breaches and then discuss what the different opportunities and challenges are in this particular field. In this document, we conducted a survey on the overall progress of intrusion detection systems. We analyze the existing types, techniques and architectures of intrusion detection systems in the literature. Finally, the future scope is mentioned.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-05-30

Issue

Volume 6, Issue 3, May-June-2020

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Saumya Saraswat, Rahul Yadav, Phalguni Pathak, " A Survey on the Network Intrusion Detection System Using Data Mining Techniques" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.31-36, May-June-2020. Available at doi : https://doi.org/10.32628/CSEIT2062165