Pregled bibliografske jedinice broj: 1157379
An Active Game Bot Detection with Security Bots
An Active Game Bot Detection with Security Bots // Central European Conference on Information and Intelligent Systems
Varaždin, 2021. str. 25-31 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1157379 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An Active Game Bot Detection with Security Bots
Autori
Tomičić, Igor ; Peharda, Tomislav ; Bernik, Andrija
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Central European Conference on Information and Intelligent Systems
/ - Varaždin, 2021, 25-31
Skup
32nd Central European Conference on Information and Intelligent Systems (CECIIS 2021)
Mjesto i datum
Varaždin, Hrvatska, 13.10.2021. - 15.10.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
computer games ; artificial intelligence ; AI ; bots ; security
Sažetak
Cheating in computer games can cause legit players to feel deprived, lose their interest and in time leave the game - which further leads to the decrease of profit in the gaming industry. Avoiding such a scenario is the main focus of research papers dealing with game cheating and cheat detection mechanisms within computer games, where there is a seemingly simple question to answer - is this player a legit human player, or an artificial bot? Most of the research is trying to identify patterns that could give away the presence of the bot, and in the same time, research is being done on building the bots with human-like behaviours which might deceive such mechanisms. In this paper, we present an active bot detection method implemented within a "security bot" - an artificial player which is infiltrated within the game and is able to identify suspicious game players, approach them, and perform a form of the Turing test on them, in order to identify possible cheating bots which have successfully deceived all the existing passive detection methods.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
IP-2019-04-5824 - Orkestracija hibridnih metoda umjetne inteligencije za računalne igre (O-HAI 4 Games) (Schatten, Markus, HRZZ - 2019-04) ( CroRIS)
NadSve-Sveučilište Sjever-UNIN-DRUŠ-20-1-13 - Utjecaj senzorske motorike, audio impulsa te dubinskih Z-mapa na uživanje, pažnju i percepciju korisnika (fotografske slike) (Bernik, Andrija, NadSve - PRIJAVA ZA POTPORU ZNANSTVENIM I UMJETNIČKIM ISTRAŽIVANJIMA U 2020. GODINI) ( CroRIS)
Ustanove:
Fakultet organizacije i informatike, Varaždin,
Sveučilište Sjever, Koprivnica