Network analysis with report authoring (NARA)
People use their smartphones, tablets, laptops, or a combination of these to connect to the internet via the organization's network. These devices are used to access various websites. Thus, organizations implement content filters that limit access to only work-related websites. However, these c...
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oai:animorepository.dlsu.edu.ph:faculty_research-39872021-11-18T09:02:08Z Network analysis with report authoring (NARA) Caldez, Reginal Castro, Jan Gilbert Co, Kelvin Richie Franco, Geanne Ross People use their smartphones, tablets, laptops, or a combination of these to connect to the internet via the organization's network. These devices are used to access various websites. Thus, organizations implement content filters that limit access to only work-related websites. However, these content filters may be bypassed and users are able to access sites that should be blocked. This study aims to utilize a report authoring tool to make a set of templates, used for the generation of reports. The produced reports assist the organization in identifying websites that may have bypassed these policies. This study successfully implemented the following modules namely the user interface module, sniffer module, data aggregator module, and the reports generator module. Through the implementation of these modules our system was able to successfully collect network data, store them within a database, and generate reports. This study helps administrators in making changes to the content filters that have been implemented. This study can still be furthered through the integration of the content filters category database and through the decryption of HTTPS traffic to provide more precise and comprehensive reports. © 2015 IEEE. 2016-01-05T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2988 Faculty Research Work Animo Repository Firewalls (Computer security) Reporting (Computer science) Computer Sciences |
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Firewalls (Computer security) Reporting (Computer science) Computer Sciences Caldez, Reginal Castro, Jan Gilbert Co, Kelvin Richie Franco, Geanne Ross Network analysis with report authoring (NARA) |
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People use their smartphones, tablets, laptops, or a combination of these to connect to the internet via the organization's network. These devices are used to access various websites. Thus, organizations implement content filters that limit access to only work-related websites. However, these content filters may be bypassed and users are able to access sites that should be blocked. This study aims to utilize a report authoring tool to make a set of templates, used for the generation of reports. The produced reports assist the organization in identifying websites that may have bypassed these policies. This study successfully implemented the following modules namely the user interface module, sniffer module, data aggregator module, and the reports generator module. Through the implementation of these modules our system was able to successfully collect network data, store them within a database, and generate reports. This study helps administrators in making changes to the content filters that have been implemented. This study can still be furthered through the integration of the content filters category database and through the decryption of HTTPS traffic to provide more precise and comprehensive reports. © 2015 IEEE. |
format |
text |
author |
Caldez, Reginal Castro, Jan Gilbert Co, Kelvin Richie Franco, Geanne Ross |
author_facet |
Caldez, Reginal Castro, Jan Gilbert Co, Kelvin Richie Franco, Geanne Ross |
author_sort |
Caldez, Reginal |
title |
Network analysis with report authoring (NARA) |
title_short |
Network analysis with report authoring (NARA) |
title_full |
Network analysis with report authoring (NARA) |
title_fullStr |
Network analysis with report authoring (NARA) |
title_full_unstemmed |
Network analysis with report authoring (NARA) |
title_sort |
network analysis with report authoring (nara) |
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Animo Repository |
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2016 |
url |
https://animorepository.dlsu.edu.ph/faculty_research/2988 |
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1718383299437527040 |