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PERANCANGAN SISTEM PENDETKSI SERANGAN PADA SERVER JARINGAN KOMPUTER MENGGUNAKAN SNORT BERBASIS SMS GETEWAY

Jurnal Teknika

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Title PERANCANGAN SISTEM PENDETKSI SERANGAN PADA SERVER JARINGAN KOMPUTER MENGGUNAKAN SNORT BERBASIS SMS GETEWAY
 
Creator Aprilianto, Tria
Jatmika, Sunu
Wicaksono, Ihsan
 
Subject Sistem Komputer
Attack Detection System, Computer Network, SNORT, SMS Gateway, Barnyard2, Gammu.

 
Description Server on a network becomes an important point because its function is to serve all requests required by all clients on a network. For that, maintaining the security of a server is also very important because if the server is experiencing a problem then there is no one the network can serve the request from the client. This makes a server administrator must see traffic to the server at any time. For this reason, it is important to conduct an attack detection system research in order to help the performance of administrators. Detection of attacks directed to the server is an early solution in securing a server from attack. For attack detection systems, SNORT is generally able to detect almost any attack because it has many rules that can be modified. Detection system by configuring and adding the rule first on the server. If there is an incoming attack then SNORT will compare the attack with the existing rule, SNORT will later categorize the attack into 3 types of High, Medium and Low. The design of attack detection system using SNORT and web server is planted on Raspberry Pi. Web server that is planted on Raspberry Pi as information system or container of attack records. In addition, Raspberry Pi also implemented database to store attack log which will be sent via sms gateway. The overall test results of the system built on this final project work well. The admin user can login the web server and do the user creation properly. Among the 6 rule attacks that have been implemented, all rules can read the attack accurately and able to save it into the database. From 75 attacks recorded in the database, only 80% attack detection can be displayed in the web server. And the web server is capable of sending 77.3% of attack notifications to the admin.
 
Publisher Universitas Islam Lamongan
 
Contributor
 
Date 2019-03-21
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion



 
Format application/pdf
 
Identifier https://jurnalteknik.unisla.ac.id/index.php/teknika/article/view/287
10.30736/jt.v11i1.287
 
Source Teknika; Vol 11, No 1 (2019); 1055 - 1066
Jurnal Teknika; Vol 11, No 1 (2019); 1055 - 1066
2620-4770
2085-0859
10.30736/teknika.v11i1
 
Language ind
 
Relation https://jurnalteknik.unisla.ac.id/index.php/teknika/article/view/287/206
 
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