METHOD FOR DETECTING NETWORK INTRUSIONS

Abstract

ABSTRACT A method (100) for detecting network intrusions. Further, the method comprising capturing network traffic data from a monitored network. Further, the method (100) comprising the steps of pre-processing the captured network traffic data to remove inconsistencies and normalize values. Further, the method (100) comprising the steps of analysing the pre-processed traffic data against a set of predefined rules to identify potential intrusions. Further, the method (100) comprising the steps of generating alerts based on the identified potential intrusions. Further, the method (100) comprising the steps of logging the alerts and corresponding captured traffic data for further analysis.

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention relates to the field of environmentally friendly solvents, specifically a method for synthesizing novel green solvents derived from renewable sources. These solvents are designed to reduce the environmental impact of chemical processes, providing sustainable alternatives that maintain effectiveness for industrial applications while minimizing ecological footprints.
BACKGROUND
[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] The increasing awareness of environmental issues and , Claims:1. A method (100) for detecting network intrusions, the method comprising the steps of:
capturing network traffic data from a monitored network;
pre-processing the captured network traffic data to remove inconsistencies and normalize values;
analysing the pre-processed traffic data against a set of predefined rules to identify potential intrusions;
generating alerts based on the identified potential intrusions; and
logging the alerts and corresponding captured traffic data for further analysis.

2. The method (100) as claimed in claim 1, further comprising integrating a machine learning algorithm to dynamically adjust the predefined rules based on historical traffic patterns and identified intrusions, thereby enhancing the accuracy of intrusion detection over time.

Documents