Implemetation of Snort IPS Using PfSense as Network Forensic in Smk XYZ
- DOI
- 10.2991/assehr.k.200303.044How to use a DOI?
- Keywords
- network forensic, Snort, PfSense
- Abstract
The rise of attack software that can be easily accessed from the internet, makes anyone who doesn’t ability to hack can do it. SMK Negeri 2 Pandeglang has a server that is used as a learning for all students. This encourages vulnerability to e-learning server attacked using software from the internet. So that a security system can detect attacks and take preventive actions and can carry out an investigation. This study aims to prevent any attempt to attack, detect and take preventive action against the attacker to carry out an investigation of the attack’s log. This research was conducted using survey methods. The study was conducted for four months from April 1, 2019 to July 31, 2019. The result of this research is a security system that can detect an attack attempt and block the attacker’s IP Address and conduct investigations using network forensic.Based on the result of the study it can be concluded that by using Snort with IPS mode stored on PfSense can detect attack aimed at e-learning servers and PfSense automatically takes preventive measures in the form of blocking of the attacker’s IP Address. From the alert generated by Snort, investigative action can be taken using network forensics so that reporting if the effects of the attack are detrimental.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Saleh Dwiyatno AU - Widya Ayu Andriani AU - Ayu Purnama Sari AU - Sulistiyono PY - 2020 DA - 2020/03/06 TI - Implemetation of Snort IPS Using PfSense as Network Forensic in Smk XYZ BT - Proceedings of the 1st International Multidisciplinary Conference on Education, Technology, and Engineering (IMCETE 2019) PB - Atlantis Press SP - 186 EP - 192 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200303.044 DO - 10.2991/assehr.k.200303.044 ID - Dwiyatno2020 ER -