• Title/Summary/Keyword: Game Security

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Preventing Mobile Game Client Memory Manipulation Based on Event Sourcing Patterns and Blockchain (이벤트 소싱 패턴과 블록 체인을 활용한 모바일 게임 클라이언트 메모리 조작 방지 방안)

  • Park, Jihun;Park, Young-Ho
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.3
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    • pp.477-486
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    • 2022
  • This study aims to present a method using event sourcing patterns and blockchain as a way to cope with vulnerabilities in memory manipulation at the client level. To verify the plan, the method of running the memory operation application was analyzed, and the performance was compared and analyzed when the memory operation prevention plan was applied by fabricating a test application. As a result of the analysis, the usage of memory increased compared to the method of XOR operation by storing major data in one memory, but it was possible to prevent the operation of the memory operation program without significantly affecting the performance of the game.

GT-PSO- An Approach For Energy Efficient Routing in WSN

  • Priyanka, R;Reddy, K. Satyanarayan
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.17-26
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    • 2022
  • Sensor Nodes play a major role to monitor and sense the variations in physical space in various real-time application scenarios. These nodes are powered by limited battery resources and replacing those resource is highly tedious task along with this it increases implementation cost. Thus, maintaining a good network lifespan is amongst the utmost important challenge in this field of WSN. Currently, energy efficient routing techniques are considered as promising solution to prolong the network lifespan where multi-hop communications are performed by identifying the most energy efficient path. However, the existing scheme suffer from performance related issues. To solve the issues of existing techniques, a novel hybrid technique by merging particle swarm optimization and game theory model is presented. The PSO helps to obtain the efficient number of cluster and Cluster Head selection whereas game theory aids in finding the best optimized path from source to destination by utilizing a path selection probability approach. This probability is obtained by using conditional probability to compute payoff for agents. When compared to current strategies, the experimental study demonstrates that the proposed GTPSO strategy outperforms them.

Communication with Video Games as a Process of Semiosis

  • Maletska, Mariia;Ostashchuk, Ivan;Khrypko, Svitlana;Salo, Hanna;Petryshyn, Halyna;Lobanchuk, Olena
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.37-42
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    • 2022
  • Communication as a process of interpreting signs has always existed in people's life. In post-information society, the communication between a person and a technological system through the specific sign-attaching process becomes widespread. Moreover, it somehow replaces usual communication between people. One of the means of communication in the digital space are video games. They not only play an important role in communication processes, but also are a special case of sign-creating and interpreting. The purpose of the article is to examine video games as a space of sign-based communication between a person and a game as a specific digital system. With the help of general scientific and hermeneutic methodology, the analysis of video games as a post-information society phenomenon which people communicate to has been conducted. The process of semiosis as attaching special meanings to signs has been traced in both manipulating in-game objects and characters and understanding rules of an in-game world.

Optimal Network Defense Strategy Selection Based on Markov Bayesian Game

  • Wang, Zengguang;Lu, Yu;Li, Xi;Nie, Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.11
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    • pp.5631-5652
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    • 2019
  • The existing defense strategy selection methods based on game theory basically select the optimal defense strategy in the form of mixed strategy. However, it is hard for network managers to understand and implement the defense strategy in this way. To address this problem, we constructed the incomplete information stochastic game model for the dynamic analysis to predict multi-stage attack-defense process by combining Bayesian game theory and the Markov decision-making method. In addition, the payoffs are quantified from the impact value of attack-defense actions. Based on previous statements, we designed an optimal defense strategy selection method. The optimal defense strategy is selected, which regards defense effectiveness as the criterion. The proposed method is feasibly verified via a representative experiment. Compared to the classical strategy selection methods based on the game theory, the proposed method can select the optimal strategy of the multi-stage attack-defense process in the form of pure strategy, which has been proved more operable than the compared ones.

A Novel Kernel SVM Algorithm with Game Theory for Network Intrusion Detection

  • Liu, Yufei;Pi, Dechang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.8
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    • pp.4043-4060
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    • 2017
  • Network Intrusion Detection (NID), an important topic in the field of information security, can be viewed as a pattern recognition problem. The existing pattern recognition methods can achieve a good performance when the number of training samples is large enough. However, modern network attacks are diverse and constantly updated, and the training samples have much smaller size. Furthermore, to improve the learning ability of SVM, the research of kernel functions mainly focus on the selection, construction and improvement of kernel functions. Nonetheless, in practice, there are no theories to solve the problem of the construction of kernel functions perfectly. In this paper, we effectively integrate the advantages of the radial basis function kernel and the polynomial kernel on the notion of the game theory and propose a novel kernel SVM algorithm with game theory for NID, called GTNID-SVM. The basic idea is to exploit the game theory in NID to get a SVM classifier with better learning ability and generalization performance. To the best of our knowledge, GTNID-SVM is the first algorithm that studies ensemble kernel function with game theory in NID. We conduct empirical studies on the DARPA dataset, and the results demonstrate that the proposed approach is feasible and more effective.

Optimization of Destroyer Deployment for Effectively Detecting an SLBM based on a Two-Person Zero-Sum Game (2인 제로섬 게임 기반의 효과적인 SLBM 탐지를 위한 구축함 배치 최적화)

  • Lee, Jinho
    • Journal of the Korea Society for Simulation
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    • v.27 no.1
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    • pp.39-49
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    • 2018
  • An SLBM (submarine-launched ballistic missile) seriously threatens the national security due to its stealthiness that makes it difficult to detect in advance. We consider a destroyer deployment optimization problem for effectively detecting an SLBM. An optimization model is based on the two-person zero-sum game in which an adversary determines the firing and arriving places with an appropriate trajectory that provides a low detection probability, and we establish a destroyer deployment plan that guarantees the possibly highest detection probability. The proposed two-person zero-sum game model can be solved with the corresponding linear programming model, and we perform computational studies with a randomly generated area and scenario and show the optimal mixed strategies for both the players in the game.

A method for preventing online games hacking using memory monitoring

  • Lee, Chang Seon;Kim, Huy Kang;Won, Hey Rin;Kim, Kyounggon
    • ETRI Journal
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    • v.43 no.1
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    • pp.141-151
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    • 2021
  • Several methods exist for detecting hacking programs operating within online games. However, a significant amount of computational power is required to detect the illegal access of a hacking program in game clients. In this study, we propose a novel detection method that analyzes the protected memory area and the hacking program's process in real time. Our proposed method is composed of a three-step process: the collection of information from each PC, separation of the collected information according to OS and version, and analysis of the separated memory information. As a result, we successfully detect malicious injected dynamic link libraries in the normal memory space.

Contactless Smart Card as a Cache for Geocaching

  • Burda, Karel
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.205-210
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    • 2021
  • In this paper, the possibility of using a contactless smart card as a cache for geocaching is analyzed. Geocaching is an outdoor game in which players search for hidden boxes, or caches based on geographical coordinates. The problems with this game are the possibility of players cheating and the need to maintain the caches. And then there is the problem of the ignorant public accidentally discovering a cache and considering it an explosive device. This paper proposes a concept for a possible solution to the above problems by replacing the boxes with conventional contactless smart cards. Also, this concept makes geocaching more attractive by using various games. This paper proposes a system architecture as well as the cryptographic protocol required for secure communication between the player's smartphone and the card.

A research on improving client based detection feature by using server log analysis in FPS games (FPS 게임 서버 로그 분석을 통한 클라이언트 단 치팅 탐지 기능 개선에 관한 연구)

  • Kim, Seon Min;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.1465-1475
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    • 2015
  • Cheating detection models in the online games can be divided into two parts. The one is on client based model, which is designed to detect malicious programs not to be run while playing the games. The other one is server based model, which distinguishes the difference between benign users and cheaters by the server log analysis. The client based model provides various features to prevent games from cheating, For instance, Anti-reversing, memory manipulation and so on. However, being deployed and operated on the client side is a huge weak point as cheaters can analyze and bypass the detection features. That Is why the server based model is an emerging way to detect cheating users in online games. But the simple log data such as FPS's one can be hard to find validate difference between two of them. In this paper, In order to compensate for the disadvantages of the two detection model above, We use the existing game security solution log as well as the server one to bring high performance as well as detection ratio compared to the existing detection models in the market.

A Global Comparative Study on the Game Rating System (게임물 등급분류제도의 국제 비교 연구)

  • Kim, Sung-Won;Lee, Hwan-Soo;Jung, Hae-Sang
    • Journal of Digital Convergence
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    • v.17 no.12
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    • pp.91-108
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    • 2019
  • Game have become a universal leisure culture for the world. However, not only did the development of the game industry have a positive impact on society, but it also brought about various social problems, such as adversely affecting youth and encouraging criminal acts. In order to minimize these effects, countries around the world operate a game rating system to provide games suitable for age and social values from children and young people to the general public. Since games are new digital content, the limitations of the rating system are still discussed in many studies. Therefore, this study investigates the current status of global game regulation by investigating game rating systems of various countries including Korea. In addition, by comparing and analyzing the game rating system in Korea and the system of other countries, this study suggests a direction to improve our system more appropriately. The results of this study will contribute to securing the effectiveness and standardization of domestic game classification system.