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International Journal of Applied Research
  • Multidisciplinary Journal
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

Vol. 9, Issue 8, Part D (2023)

Comparative evaluation of open-source intrusion detection systems: Assessing performance and security in securing computer networks

Comparative evaluation of open-source intrusion detection systems: Assessing performance and security in securing computer networks

Author(s)
Prem Prakash Goyal and Dr. Deepak Sharma
Abstract
Research was conducted for this study through a review of existing literature pertaining to intrusion detection systems and how they function. The literature also highlighted previous studies conducted on intrusion detection systems, both commercial and open source. In addition to the review of existing literature, the author conducted independent testing on three open-source intrusion detection systems. The open-source programs, Snort, OSSEC, and Prelude, were selected due to being highly rated in professional publications. The author created a secure simulated computer network, to ensure that each of the programs was tested in a controlled and equitable manner. The findings of this study determined that the three open-source intrusion detection systems tested are as capable as commercial programs in securing a computer network.
Pages: 243-249  |  261 Views  112 Downloads


International Journal of Applied Research
How to cite this article:
Prem Prakash Goyal, Dr. Deepak Sharma. Comparative evaluation of open-source intrusion detection systems: Assessing performance and security in securing computer networks. Int J Appl Res 2023;9(8):243-249.
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