Jurnal Computer Science and Information Technology (CoSciTech)
Vol 1 No 2 (2020): Jurnal Computer Science and Information Technology (CoSciTech)

String Matching untuk Mendeteksi Serangan Sniffing (ARP Spoofing) pada IDS Snort

Ilham Firdaus (Unknown)
Januar Al Amien (Universitas Muhammadiyah Riau)
Soni Soni (Universitas Muhammadiyah Riau)



Article Info

Publish Date
31 Oct 2020

Abstract

Sniffing technique (ARP Spoofing) is an attack that sends fake ARP packets or ARP packets that have been modified according to the network address attacker's to poison the victim's ARP cache table. ARP spoofing attack is a dangerous attack because it can monitor the activities of victims in searching the browser and can steal social logins, office and other accounts. This attack supports the occurrence of other computer network attacks such as Denial of service, Man in the middle attack, host impersonating and others. Sniffing attacks are generally found in places that provide public Wi-Fi such as campus, libraries, cafes, and others. IDS Snort can detect sniffing attacks (Arp Spoofing). String Matching Method KMP algorithm is applied to detect attacks on snort logging files to provide alerts (messages) to users. Tests carried out are black box testing to test application functionality, and accuracy testing. All application functionality was successful, and testing the accuracy of the match between manual calculations for string matching and accurate application.

Copyrights © 2020






Journal Info

Abbrev

coscitech

Publisher

Subject

Computer Science & IT

Description

Jurnal CoSciTech (Computer Science and Information Technology) merupakan jurnal peer-review yang diterbitkan oleh Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Univeritas Muhammadiyah Riau (UMRI) sejak April tahun 2020. Jurnal CoSciTech terdaftar pada PDII LIPI dengan Nomor ISSN ...