采用基于SNORT GETEWAY的基于计算机网络服务器的远程攻击设计系统

Tria Aprilianto, Sunu Jatmika, Ihsan Wicaksono
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摘要

网络上的服务器变得很重要,因为它的功能是为网络上所有客户端所需的所有请求提供服务。为此,维护服务器的安全性也非常重要,因为如果服务器出现问题,那么网络上就没有人可以处理来自客户机的请求。这使得服务器管理员必须随时看到服务器的流量。因此,对攻击检测系统进行研究,有助于管理员提高工作效率。检测针对服务器的攻击是保护服务器免受攻击的早期解决方案。对于攻击检测系统,SNORT通常能够检测几乎任何攻击,因为它有许多可以修改的规则。通过在服务器上首先配置和添加规则来检测系统。如果有即将到来的攻击,那么SNORT将攻击与现有规则进行比较,SNORT随后将攻击分为高、中、低3种类型。在树莓派上设计了基于SNORT和web服务器的攻击检测系统。安装在树莓派上作为信息系统或攻击记录容器的Web服务器。此外,树莓派还实现了数据库来存储攻击日志,这些日志将通过短信网关发送。在此最终项目基础上构建的系统整体测试结果良好。admin用户可以正常登录web服务器并创建用户。在已经实现的6次规则攻击中,所有的规则都能准确读取攻击,并能将攻击保存到数据库中。在数据库记录的75次攻击中,web服务器上只能显示80%的攻击检测结果。web服务器能够向管理员发送77.3%的攻击通知。
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PERANCANGAN SISTEM PENDETKSI SERANGAN PADA SERVER JARINGAN KOMPUTER MENGGUNAKAN SNORT BERBASIS SMS GETEWAY
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.
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