• Title, Summary, Keyword: 클래시 오브 클랜

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Study on Fun factor in Smartphone Convergence Game - Focusing on the Defense and Plunder (스마트폰 융복합 게임의 재미요인 분석 - 수성과 약탈을 중심으로)

  • Kim, In-Su;Jung, Hyung-Won;Kim, Tae-Gyu
    • Journal of Digital Convergence
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    • v.13 no.7
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    • pp.367-372
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    • 2015
  • Smartphone game market, smart phone appeared on the market and soon developed rapidly, generation change is happening. Generally, Smartphone games are only short-lived super cell's Clash of Clans is gaining popularity for over two years. So Clash of Clans this game with hold most characteristic elements of the defense and plunder on the subject analyzed the fun factor. In order to analyze the defense and plunder elements were prepared Clash of Clans and Kings of Thieves in cases. Two of the cases, depending on the fun theory Preparation, A sense of space, A solid core machanic, A range of challenge, A range of abilities required to solve the encounter and Skill required in using the abilities were evaluated in the fun factor analysis of defense and plunder elements.

A Study on Mobile Game Security Threats by Analyzing Malicious Behavior of Auto Program of Clash of Clans (클래시 오브 클랜 오토 프로그램의 악성 행위 분석을 통한 모바일 게임 보안 위협에 관한 연구)

  • Heo, Geon Il;Heo, Cheong Il;Kim, Huy Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.6
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    • pp.1361-1376
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    • 2015
  • Recently, the size of the mobile game market and the number of mobile game users are growing. Also, as the mobile game's life cycle is increasing at the same time, auto program issue reappears which has been appeared in PC online games. Gamers usually tend to ignore warning messages from antivirus programs and even worse they delete antivirus program to execute auto programs. Therefore, mobile game users are easily compromised if the auto program performs malicious behaviors not only for the original features. In this paper, we analyze whether seven auto programs of "clash of clans" which has a lot more users for a long time perform malicious behaviors or not. We forecast the possible security threats in near future and proposed countermeasures based on this analysis. By analyzing auto programs of highly popular mobile game of today, we can acquire the knowledge on auto program's recent trend such as their development platform, operating mode, etc. This analysis will help security analysts predict auto program's evolving trends and block potential threats in advance.