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Title:
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ANALYZING NETWORK ANOMALIES USING WAZUH SIEM |
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Author(s):
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Maria-Madalina Andronache, Alexandru Vulpe and Corneliu Burileanu |
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ISBN:
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978-989-8704-62 |
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Editors:
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Paula Miranda and Pedro Isaías |
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Year:
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2024 |
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Edition:
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Single |
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Keywords:
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Cybersecurity, Datasets, Neural Networks, Intrusion Response |
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Type:
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Short |
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First Page:
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377 |
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Last Page:
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385 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In recent years, more and more companies and institutions have faced an exponential increase in cyber security threats that
cause a loss of sensitive information or disruption of everyday activities. Such attacks are becoming more and more varied
and sophisticated, making them more and more difficult to detect or prevent. In such circumstances, adequate systems must
be made that are ready to respond to all these security threats. This study provides an overview of the detection of threats
from a closed network, emphasizing the importance that must be given to cyber security measures, even in environments
that do not have access or have filtered access to Internet resources. In the section of experiments and obtained results, the
paper provides valuable information on the directions of threat detection, as well as effective monitoring measures and
remediation of the damage caused by the attack. In the part of conclusions and further developments, it is specified what
other experiments will be considered in order to be able to realize a proactive strategy to protect the used network
environment. |
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