Anomaly Detection on Firewall Logs from Multifold System Based on Email Classification

Abstract

The greater part of the current frameworks sort the report or firewall logs-corpus in light of the term similitude by discover the archive term relationship. It can't distinguish the calculated comparability or connection among them. Be that as it may, proposed framework concentrates on both term savvy and additionally reasonable shrewd comparability to discover the firewall logs insights to tag the firewall logs with appropriate sort. Classification of firewall logs information is multi crease in proposed framework. Real phases of proposed approach are portrayed in the accompanying segment. Order of the messages in light of their applied closeness as opposed to visually impaired term savvy likeness alongside firewall logs header, html substance and connection investigation.

Authors and Affiliations

Pothuru Alekhya| Assistant professor, Raghu Institute of Technology, Visakhapatnam, alekhya.pothuru@gmail.com

Keywords

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  • EP ID EP16932
  • DOI -
  • Views 413
  • Downloads 11

How To Cite

Pothuru Alekhya (2017). Anomaly Detection on Firewall Logs from Multifold System Based on Email Classification. International Journal of Science Engineering and Advance Technology, 5(5), 467-470. https://europub.co.uk/articles/-A-16932