PEMBUKTIAN ANOMALY TRAFFIC PADA GAME COUNTER STRIKE: GLOBAL OFFENSIVE MENGGUNAKAN METODE DEEP PACKET INSPECTION

SOFYAN, M. ANDRE and Stiawan, Deris (2020) PEMBUKTIAN ANOMALY TRAFFIC PADA GAME COUNTER STRIKE: GLOBAL OFFENSIVE MENGGUNAKAN METODE DEEP PACKET INSPECTION. Undergraduate thesis, Sriwijaya University.

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Abstract

Counter-Strike is a first-person shooter game, based on a team between Terrorists and Counter-Terrorists consisting of several players inside. Counter-Strike: Global Offensive is the fourth major Counter-Strike series developed by Valve in 2012 and is the most played series to date worldwide. Over time, players who lose a lot use unfair means, such as using cheat programs or script injection. This is done to win a match in an easier way. Such as the use of cheat programs to find out the position of the opponent, to make it easier to kill him and various other forms of cheating. In this study, observations were made on traffic in Counter Strike:Global Offensive in order to find traffic and prove it by using DPI (Deep Packet Inspection). DPI is one way to check packages on the network. Here the type of DPI used is String Matching, a search algorithm to search for all occurrences of short and long strings, to get anomaly patterns here using 4 stages namely, dataset creation, feature extraction, attack pattern recognition, and the latter classification using matching strings that are part of DPI. The results obtained are SYN Flood attack, which has attribute TTL 56-128 and checksum 30.000-60.000.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Deep Packet Inspection, String Matching, Serangan SYN Flood, Counter-Strike, Counter Strike:Global Offensive, MMOFPS.
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ1-1570 Mechanical engineering and machinery
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 9852 not found.
Date Deposited:	15 Jan 2021 02:43
Last Modified:	15 Jan 2021 02:43
URI:	http://repository.unsri.ac.id/id/eprint/40044

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