Gorment, Nor Zakiah and Selamat, Ali and Krejcar, Ondrej (2023) Obfuscated malware detection: Impacts on detection methods. In: 15th International scientific conferences on research and applications in the field of intelligent information and database systems, ACIIDS 2023, 24 July 2023 - 26 July 2023, Phuket, Thailand.
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Official URL: http://dx.doi.org/10.1007/978-3-031-42430-4_5
Abstract
Casual gamers, especially those without knowledge and unskilled with security, cause most online game cybersecurity issues. Cybercriminals exploit this thinking by breaching security. Online gamers of all ages and backgrounds have increased due to the COVID-19 suspension, exposing them to cyberattacks. These attacks exploit online players’ cybersecurity ignorance to enhance cybersecurity breaches in online games. In light of these problems, this study examined Malaysian online gamer knowledge, attitude, and behaviour. This study examines passwords, email, Internet, device, and social engineering to assess online gamers’ cyber security awareness. The study of 162 online gamers from Facebook, Discord, Twitter, and Twitch discovered that 55% of respondents carelessly keep their gaming account password and more than 56% of respondents’ gaming PCs are not antivirus-protected. Given the in-game function that links credit and debit cards to gaming accounts, gamers’ cybersecurity expertise is concerning. This shows how cybersecurity awareness may protect gamers from hackers.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Machine leaning algorithm; Malware detection; Obfuscated malware. |
Subjects: | T Technology > T Technology (General) > T58.6-58.62 Management information systems |
Divisions: | Malaysia-Japan International Institute of Technology |
ID Code: | 107772 |
Deposited By: | Muhamad Idham Sulong |
Deposited On: | 02 Oct 2024 07:26 |
Last Modified: | 02 Oct 2024 07:26 |
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