INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
The proposed multistage IDS using snort tool basically consists of two parts. The first phase uses Snort as a fingerprint-based intrusion detection system. Snort uses pre-defined signatures to identify known attack methods and suspected fraud. It acts as a first line of protection via quick detecting recognized threats and recognized attacks. The second part focuses on anomaly detection, supporting Snort’s signature-based approach.Anomaly detection is to build a basic pattern of normal network behavior. Deviations from this baseline are considered potential anomalies, meaning possible intrusions or other attack patterns that may be missed by signature-based systems. Machine learning algorithms such as clustering or classification techniques are used to model and identify these anomalies in real-time network traffic.
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Cite Article:
"MULTI-STAGE IDS USING SNORT TOOL", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 12, page no.842 - 844, December-2023, Available :http://www.ijsdr.org/papers/IJSDR2312110.pdf
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Publication Details:
Published Paper ID: IJSDR2312110
Registration ID:209651
Published In: Volume 8 Issue 12, December-2023
DOI (Digital Object Identifier):
Page No: 842 - 844
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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