Arif Wirawan Muhammad, Muhammad Nur Faiz, Ummi Athiyah
{"title":"Pengembangan Perangkat Lunak Untuk Deteksi DDoS Berbasis Neural Network","authors":"Arif Wirawan Muhammad, Muhammad Nur Faiz, Ummi Athiyah","doi":"10.35970/infotekmesin.v13i2.1544","DOIUrl":null,"url":null,"abstract":"System security issues are a vital factor that needs to be considered in the operation of systems and networks, which will later be used for disaster mitigation and preventing attacks on the network. Distributed Denial of Services (DDoS) is a form of attack carried out by individuals or groups to damage data through servers or malware in the form of flooding packets, therefore it can paralyze the network system used. Network security is a factor that must be maintained and considered in an information system. DDoS can take the form of Ping of Death, flood, Remote control attack, User Data Protocol (UDP) flood, and Smurf Attack. This study aims to develop software to detect DDoS attacks based on network traffic logs. The software has been tested and run according to the neural network algorithm. This software was developed with an interface that makes it easier for users to detect the source IP whether the IP is carrying out a DDoS attack or normal.","PeriodicalId":33598,"journal":{"name":"Infotekmesin Media Komunikasi Ilmiah Politeknik Cilacap","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infotekmesin Media Komunikasi Ilmiah Politeknik Cilacap","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35970/infotekmesin.v13i2.1544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
System security issues are a vital factor that needs to be considered in the operation of systems and networks, which will later be used for disaster mitigation and preventing attacks on the network. Distributed Denial of Services (DDoS) is a form of attack carried out by individuals or groups to damage data through servers or malware in the form of flooding packets, therefore it can paralyze the network system used. Network security is a factor that must be maintained and considered in an information system. DDoS can take the form of Ping of Death, flood, Remote control attack, User Data Protocol (UDP) flood, and Smurf Attack. This study aims to develop software to detect DDoS attacks based on network traffic logs. The software has been tested and run according to the neural network algorithm. This software was developed with an interface that makes it easier for users to detect the source IP whether the IP is carrying out a DDoS attack or normal.
系统安全问题是系统和网络运行中需要考虑的一个重要因素,稍后将用于减灾和防止对网络的攻击。分布式拒绝服务(DDoS)是一种由个人或团体通过服务器或恶意软件以淹没数据包的形式破坏数据的攻击形式,因此它可以瘫痪所使用的网络系统。网络安全是信息系统中必须维护和考虑的一个因素。DDoS可以采取Ping of Death、洪水、远程控制攻击、用户数据协议(UDP)洪水和蓝精灵攻击的形式。本研究旨在开发基于网络流量日志的DDoS攻击检测软件。软件已经按照神经网络算法进行了测试和运行。该软件的开发界面使用户更容易检测源IP,无论该IP是否正在进行DDoS攻击。