集成低交互蜜罐和ELK堆栈作为服务器攻击检测系统

F. S. Mukti, R. Sukmawan
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引用次数: 1

摘要

对可以随时随地访问的信息技术的高度需求间接地为不负责任的各方攻击和破坏系统打开了一个巨大的机会。服务器场是攻击者最常攻击的目标之一,目的是破坏甚至检索受害者数据。解决这个问题的努力之一是通过使用蜜罐来增加服务器安全性。蜜罐的存在是通过创建虚假服务器来转移攻击者访问权限来防止系统黑客攻击的努力之一。在其应用中,蜜罐生成的日志只有字母和数字,这使得分析日志变得困难。这将成为一个问题——大量的日志数据正在被处理。为了使管理员更容易地分析日志,提出了一个使用ELK堆栈的可视化系统。Honeypot和ELK Stack集成可以成为检测攻击的安全系统解决方案,同时为管理员提供可视化功能。进行了五个测试方案,以提供低相互作用蜜罐Cowrie和Dioaea之间的比较研究。与Dioaea提供的检测系统相比,Cowrie提供了更好的性能检测系统(实时),平均延迟时间为3.75秒,而ELK通过其可视化功能为管理员提供了更好地监控结果。
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Integration of Low Interaction Honeypot and ELK Stack as Attack Detection Systems on Servers
The high need for information technology that can be accessed anywhere and anytime indirectly opens a big opportunity for irresponsible parties to attack and destroy the system. The server farm is one of the targets most hunted by attackers, intending to damage, and even retrieving victim data. One of the efforts to deal with this problem is to add server security by using honeypot. The existence of a honeypot is one of the efforts to prevent system hacking by creating a fake server to divert attackers access. In its application, the logs generated from the honeypot are only letters and numbers, making it difficult to analyze the logs. It became a problem it will being a lot of log data being processed. To make it easier for administrators in analyzing logs, a visualization system using the ELK Stack is proposed. Honeypot and ELK Stack integration can be a security system solution in detecting attacks while providing visualization to administrators. Five testing schemes were carried out to provide a comparative study between the low interaction honeypot Cowrie and Dionaea. Cowrie delivers a better performance detection system (real-time) compared to the detection system offered by Dionaea, and the average delay time is 3.75 seconds, while ELK managed to provide better monitoring results to administrators through its visualization.
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