Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 5: EECSI 2018

Automate Snort Rule For Xss Detection With Honeypot

Syaifuddin, Syaifuddin (University of Muhammadiyah Malang)
Risqiwati, Diah (University of Muhammadiyah Malang)
Sidharta, Hanugra (BINA NUSANTARA Institute of Creative Technology)



Article Info

Publish Date
18 Sep 2019

Abstract

In modern era, data become precious and important, if there is occurrence data leakage will cause high damage to business, data loss will impact on loosing profit. To avoiding that, organization need equip with updated security tools for protect data and network from malicious software and hacker attack. As computer network growing day by day, security become important role to preventing from attack from outside and inside network. Unfortunetely, new vulnerability finds almost every day, resulting increment number of intrusion and attack. Meanwhile each intrusion and attack have different pattern and behavior, continuous development on intrusion detection is mandatory. In 2011, most attack associate with XSS, 12.58% attack is XSS followed by Denial of Service (DOS) 8.06%.

Copyrights © 2018






Journal Info

Abbrev

EECSI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, ...