• Madhuri Kanojiya
• Lokesh Chouhan

Tracking prior actions within a system is crucial for cybersecurity analysis, and log files provide the data needed for this purpose. Analyzing log files manually is challenging due to their diverse and unstructured nature, so specific algorithms are necessary. Clustering techniques are employed to address this task effectively, and the choice of approach varies based on the specific domain and desired outcomes. This paper groups clustering approaches according to their operational characteristics, domain relevance, and other technical considerations.

Anomaly Detection, Clustering, Cybersecurity, Logs, Signature extraction.

"Clustering Techniques for Effective Log File Analysis in Cybersecurity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.552-555, February-2019, Available :http://www.jetir.org/papers/JETIR1902G73.pdf

"Clustering Techniques for Effective Log File Analysis in Cybersecurity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp552-555, February-2019, Available at : http://www.jetir.org/papers/JETIR1902G73.pdf