JOMLAI: Journal of Machine Learning and Artificial Intelligence
Vol. 1 No. 2 (2022): June

Optimization of Computer Network Security System Against Malware Attacks Using Firewall Filtering with Port Blocking Method

Andri Andri (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Indra Gunawan (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Ika Okta Kirana (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)



Article Info

Publish Date
16 Aug 2022

Abstract

Computer networks have an important role in teaching and learning activities in schools, but there are also negative impacts. One of them is prone to attack by malware such as viruses and so on, as is the case at the Satria Mandiri Private Vocational School in Bandar Huluan. So far, the computer network at the school is very easy to attack by malware. The negative impact of malware on the network is bandwidth traffic overload, causing bandwidth constraints to run out quickly or data transfer traffic to be slower than usual. The reliability of a network can be determined from the security factor of the network itself. Some routers have firewall settings that are quite capable but need to be managed more specifically based on the needs of the 1500 Kbps network scale and available bandwidth. Creating good rules in the firewall will make it easier to filter network traffic and bandwidth so that it can create security and convenience for network and bandwidth users. Port blocking allows users or users to interact with the proxy server on the local network, where the connected user has gone through verification that can filter malware activity with embedded rules

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Journal Info

Abbrev

jomlai

Publisher

Subject

Computer Science & IT Engineering

Description

Focus and Scope JOMLAI: Journal of Machine Learning and Artificial Intelligence is a scientific journal related to machine learning and artificial intelligence that contains scientific writings on pure research and applied research in the field of machine learning and artificial intelligence as well ...