Analysis of Intrusion Detection System Performance for the Port Scan Attack Detector, Portsentry, and Suricata

Author:

Ernawati T,Fachrozi M F,Syaputri D D

Abstract

Abstract The purpose of this study is to analyze the performance of IDS (PSAD, Portsentry and Suricata). The research methodology used was the Network Development Life Cycle (NDLC). The system has designed through several stages (system requirements analysis, system/software installation, configuration and testing software attacks). The system detects and monitors the number of suspicious activities that occur on the server (using a cloud service) or computer network. In the event of a threat, the system will issue a warning and keep records for analysis. The IDS performance tests are differentiated based on three types of attack (port scanning, DDoS SYN flood and brute force attack), the parameters tested include a speed of detection, detection accuracy and resources usage. Test results showed Suricata and PSAD are superior in detection accuracy (100%). Suricata showed better performance in resources usage (average 1.64% CPU, 8.42% disk), portsentry is only superior to RAM usage (26.89%). PSAD was better in the speed of detection (average 4.21s.). The result concluded Suricata and PSAD better performance to be used as network IDS.

Publisher

IOP Publishing

Subject

General Medicine

Reference13 articles.

1. Integrated Information System for Radio Frequency Identification Based Administration and Academic Activities on Higher Education;Kurniawan;IOP Conference Series: Materials Science and Engineering,2018

2. Cybersecurity education: Evolution of the discipline and analysis of master programs;Cabaj;Computers & Security,2018

3. Web and Android Programming Course Information System;Soegoto;IOP Conference Series: Materials Science and Engineering,2018

4. Relation between internet and social media to support sales in business;Muresan;IOP Conference Series: Materials Science and Engineering,2018

5. Web and Android Programming Course Information System;Soegoto;IOP Conference Series: Materials Science and Engineering,2018

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3