Data Security Analysis with Advanced Firewall Filtering at PT PUSRI
Data and network security analysis are essential for ensuring the integrity, confidentiality, and availability of organizational data. Among the various threats, sniffing attacks—where malicious actors intercept and monitor data transmitted over a network—pose a significant risk to data security....
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التنسيق: | مقال |
اللغة: | English |
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INTI International University
2024
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الوصول للمادة أونلاين: | http://eprints.intimal.edu.my/2022/1/jods2024_41.pdf http://eprints.intimal.edu.my/2022/ http://ipublishing.intimal.edu.my/jods.html |
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my-inti-eprints.20222024-12-31T07:11:39Z http://eprints.intimal.edu.my/2022/ Data Security Analysis with Advanced Firewall Filtering at PT PUSRI Misinem, . Muhammad Ari, Januarta Tamsir, Aryadi Ahmad, Qudri Nurul Adha Oktarini, Saputri QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Data and network security analysis are essential for ensuring the integrity, confidentiality, and availability of organizational data. Among the various threats, sniffing attacks—where malicious actors intercept and monitor data transmitted over a network—pose a significant risk to data security. This study analyzes the network security performance of the IT Service Department of PT—Palembang, focusing on the impact of sniffing attacks and the effectiveness of countermeasures. The research involves a comprehensive evaluation of the existing security infrastructure, testing for vulnerabilities to sniffing attacks, and implementing advanced security mechanisms. These mechanisms include encryption protocols, network segmentation, and intrusion detection systems. The analysis assesses the performance of these countermeasures in mitigating risks and enhancing overall network security. Findings from this study reveal that the proper implementation of security mechanisms significantly reduces the risk of sniffing attacks. Encryption ensures the confidentiality of transmitted data, network segmentation limits unauthorized access, and intrusion detection systems provide real-time threat identification. Additionally, the research highlights the importance of proactive measures, such as training IT staff on security best practices and implementing enhanced real-time monitoring systems. This study not only evaluates the technical aspects of network security but also provides actionable recommendations for sustainable improvements. By addressing both current vulnerabilities and future preparedness, the analysis underscores the critical role of a multi-layered security approach in safeguarding organizational data INTI International University 2024-12 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2022/1/jods2024_41.pdf Misinem, . and Muhammad Ari, Januarta and Tamsir, Aryadi and Ahmad, Qudri and Nurul Adha Oktarini, Saputri (2024) Data Security Analysis with Advanced Firewall Filtering at PT PUSRI. Journal of Data Science, 2024 (41). pp. 1-8. ISSN 2805-5160 http://ipublishing.intimal.edu.my/jods.html |
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QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Misinem, . Muhammad Ari, Januarta Tamsir, Aryadi Ahmad, Qudri Nurul Adha Oktarini, Saputri Data Security Analysis with Advanced Firewall Filtering at PT PUSRI |
description |
Data and network security analysis are essential for ensuring the integrity, confidentiality, and
availability of organizational data. Among the various threats, sniffing attacks—where malicious
actors intercept and monitor data transmitted over a network—pose a significant risk to data
security. This study analyzes the network security performance of the IT Service Department of
PT—Palembang, focusing on the impact of sniffing attacks and the effectiveness of
countermeasures. The research involves a comprehensive evaluation of the existing security
infrastructure, testing for vulnerabilities to sniffing attacks, and implementing advanced security
mechanisms. These mechanisms include encryption protocols, network segmentation, and
intrusion detection systems. The analysis assesses the performance of these countermeasures in
mitigating risks and enhancing overall network security. Findings from this study reveal that the
proper implementation of security mechanisms significantly reduces the risk of sniffing attacks.
Encryption ensures the confidentiality of transmitted data, network segmentation limits
unauthorized access, and intrusion detection systems provide real-time threat identification.
Additionally, the research highlights the importance of proactive measures, such as training IT
staff on security best practices and implementing enhanced real-time monitoring systems. This
study not only evaluates the technical aspects of network security but also provides actionable
recommendations for sustainable improvements. By addressing both current vulnerabilities and
future preparedness, the analysis underscores the critical role of a multi-layered security approach
in safeguarding organizational data |
format |
Article |
author |
Misinem, . Muhammad Ari, Januarta Tamsir, Aryadi Ahmad, Qudri Nurul Adha Oktarini, Saputri |
author_facet |
Misinem, . Muhammad Ari, Januarta Tamsir, Aryadi Ahmad, Qudri Nurul Adha Oktarini, Saputri |
author_sort |
Misinem, . |
title |
Data Security Analysis with Advanced Firewall Filtering at PT PUSRI |
title_short |
Data Security Analysis with Advanced Firewall Filtering at PT PUSRI |
title_full |
Data Security Analysis with Advanced Firewall Filtering at PT PUSRI |
title_fullStr |
Data Security Analysis with Advanced Firewall Filtering at PT PUSRI |
title_full_unstemmed |
Data Security Analysis with Advanced Firewall Filtering at PT PUSRI |
title_sort |
data security analysis with advanced firewall filtering at pt pusri |
publisher |
INTI International University |
publishDate |
2024 |
url |
http://eprints.intimal.edu.my/2022/1/jods2024_41.pdf http://eprints.intimal.edu.my/2022/ http://ipublishing.intimal.edu.my/jods.html |
_version_ |
1821008753522114560 |
score |
13.251813 |