MULTI-STAGE IDS USING SNORT TOOL
SHERON ROSHITH S
, GOKUL NANJU , DHILIPAN KUMAR P
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.
"MULTI-STAGE IDS USING SNORT TOOL", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 12, page no.842 - 844, December-2023, Available :https://ijsdr.org/papers/IJSDR2312110.pdf
Volume 8
Issue 12,
December-2023
Pages : 842 - 844
Paper Reg. ID: IJSDR_209651
Published Paper Id: IJSDR2312110
Downloads: 000347369
Research Area: Computer Science & Technology
Country: Chennai, Tamil Nadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
