In this paper, we discuss the design of a fully distributed approach for the support of mobile Multiplayer Online Games (MOGs).
These are concerned mainly with connectivity, computational capacities, memory and battery constraints. Mobile gaming presents a number of main issues which remain open. Practical suggestions are also given for choosing an IM scheme for P2P gaming. Experimental data obtained from simulation are analyzed and explained. In addition, we also evaluate IE attack when a group of players collude with each other to share information. Three P2P schemes are assessed and a Client/Server scheme is also employed for comparison.
#PLAY WARCRAFT 3 SIMULATOR#
Notably, we present a Monte Carlo based simulator to quantitatively measure the impact of IE attack when different IM schemes are applied. In this paper, we demonstrate that such IE attack on MMOG can help cheaters gain unauthorized benefits. This eventually results in an unfair game.
#PLAY WARCRAFT 3 UPDATE#
Sensitive information, such as player's position, can be revealed during AOI update without owner's authorization and attention. Unfortunately, AOI update is vulnerable to information exposure (IE) attack especially on P2P infrastructure. To maintain the subscriber list, players are required to send AOI updates. As Area-Of-Interest (AOI) defines each player's interests, an entity normally maintains a subscriber list of players whose AOIs cover the position of the entity. Copyright © 2014 John Wiley & Sons, Ltd.įor a scalable Massively Multiplayer Online Game (MMOG), interest management (IM) is an essential component to reduce unnecessary network traffic. In summary, SecureTCG allows the multiple players participating in a trading card game match to detect cheating attempts as soon as they are made and without the intervention of third parties, supports multiple players and different game styles, displays tolerance to players’ dropouts during a match, prevents collusion among any number of players, provides (optional) after-match auditability mechanisms, and has a reduced computational cost. Aiming to tackle this issue, this paper presents SecureTCG, a protocol for detecting cheating attempts in P2P multiplayer card games where the players use their own decks to play, such as the so-called trading card games. This is especially true in P2P environments, in which the lack of a central trusted entity monitoring the game greatly facilitates the activity of malicious players. The development of secure and efficient solutions for online games is, however, a challenging issue. At the same time, the increasing popularity and complexity of such games implies the need of deploying cheating-detection mechanisms for ensuring the continuous interest of honest users in playing. Online gaming is today a very lucrative market, with millions of users all around the globe.
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