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Cluster Computing
Published in: Cluster Computing 3/2019

24-02-2018

Analysis of alarms to prevent the organizations network in real-time using process mining approach

Authors: Ved Prakash Mishra, Balvinder Shukla, Abhay Bansal

Published in: Cluster Computing | Special Issue 3/2019

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Abstract

The analysis of alarms in the current intrusion detection system depends upon the manual system by network administrators. Due to the manual analysis, still many organizations are facing the false alarm problem causing the performance deficiency. In this manuscript, a model has been proposed for profile-based system, which will work on real time to analyze the suspicious activities and detect the intrusion automatically. The proposed model will also analyze the alarms to detect attacks and give the automatic response to prevent in real time. Processes were compared with original log events with tempered log events and the difference was found. Our extended work will be to develop the plugin in java with the combination of proposed algorithm, which could be imbedded in the tool to get the automatic response.
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Metadata
Title
Analysis of alarms to prevent the organizations network in real-time using process mining approach
Authors
Ved Prakash Mishra
Balvinder Shukla
Abhay Bansal
Publication date
24-02-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2064-8

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