ANALISIS PENERAPAN INTRUSION PREVENTION SYSTEM (IPS) MENGGUNAKAN SNORT DAN IPTABLES UNTUK KEAMANAN CLOUD COMPUTING SOFTWARE AS A SERVICE (SaaS)
Total View This Week2
Total View This Week2
Institusion
STMIK Bumi Gora
Author
Aulia, Dina
Subject
T Technology (General)
Datestamp
2021-08-09 06:06:24
Abstract :
Cloud Computing is a modern computing technology that has begun to develop its use since 2005. There are three types of cloud computing services available, namely: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS service is a service where the cloud provider provides software that can be used and can be accessed by users via a web browser. As the use of cloud computing is given to users, it also provides new risks and opportunities for attackers to exploit in security systems. To overcome the problem, one of the methods used is the Intrusion Prevention System (IPS). Previous researchers only focused on securing IaaS cloud computing using Suricata-based IPS built using OpenStack. So that it encourages the author to follow up on the application of snort and IPTables-based IPS to secure Software as a Service (SaaS) services. IPS Snort, which is integrated with IPTables, is the tool of choice in securing computer networks because it can prevent and block attacks. The methodology used in this research is NDLC (Network Development Life Cycle). There are 6 stages of NDLC, but the author only uses 3 stages, namely Analysis, Design, and Simulation Prototyping. At the analysis stage includes data collection and analysis. The design phase is carried out by designing a trial network, IP addressing, and system workflows, as well as designing hardware and software requirements. In the simulation prototyping stage, it contains the results of the installation and configuration on each device, testing and analysis of the results of the tests carried out. The conclusion of this study is that the application of IPS Snort which is integrated with IPTables is able to detect, and display notifications and can block 4 (four) attacks, namely Ping Attack, Port Scanning, Sniffing and DOS SYNFlood Attack for 5 times. Load utilization on the nextcloud server before applying Snort-based IPS when carrying out an attack is 0.77 and memory is 486 MB. While the Load utilization when Snort-based IPS is applied is 0.15 and memory is 499 MB. So that users can still access services both upload and download operations on the nextcloud server when an attack occurs on a system that has been secured using IPS Snort.
Cloud Computing is a modern computing technology that has begun to develop its use since 2005. There are three types of cloud computing services available, namely: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS service is a service where the cloud provider provides software that can be used and can be accessed by users via a web browser. As the use of cloud computing is given to users, it also provides new risks and opportunities for attackers to exploit in security systems. To overcome the problem, one of the methods used is the Intrusion Prevention System (IPS). Previous researchers only focused on securing IaaS cloud computing using Suricata-based IPS built using OpenStack. So that it encourages the author to follow up on the application of snort and IPTables-based IPS to secure Software as a Service (SaaS) services. IPS Snort, which is integrated with IPTables, is the tool of choice in securing computer networks because it can prevent and block attacks. The methodology used in this research is NDLC (Network Development Life Cycle). There are 6 stages of NDLC, but the author only uses 3 stages, namely Analysis, Design, and Simulation Prototyping. At the analysis stage includes data collection and analysis. The design phase is carried out by designing a trial network, IP addressing, and system workflows, as well as designing hardware and software requirements. In the simulation prototyping stage, it contains the results of the installation and configuration on each device, testing and analysis of the results of the tests carried out. The conclusion of this study is that the application of IPS Snort which is integrated with IPTables is able to detect, and display notifications and can block 4 (four) attacks, namely Ping Attack, Port Scanning, Sniffing and DOS SYNFlood Attack for 5 times. Load utilization on the nextcloud server before applying Snort-based IPS when carrying out an attack is 0.77 and memory is 486 MB. While the Load utilization when Snort-based IPS is applied is 0.15 and memory is 499 MB. So that users can still access services both upload and download operations on the nextcloud server when an attack occurs on a system that has been secured using IPS Snort.
Download
book
BibTex
Latex, Jabref
cloud_download
Original Resource
url resource Institution
