A survey on game theoretic approaches for privacy preservation in data mining and network security

Shah, Hitarth; Kakkad, Vishruti; Patel, Reema; Doshi, Nishant

doi:10.1016/j.procs.2019.08.098

Cited by 12 publications

(5 citation statements)

References 8 publications

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“…Numerous surveys have been conducted in the realm of security within MANETs (see [26]- [36] [37]); additionally, there are different surveys concerning game theory in the field of network security as [38]- [48]. However, there is currently a lack of research that specifically focuses on the applications of game theory in the field of MANET security.…”

Section: A Previous Surveys and Contributionsmentioning

confidence: 99%

An Overview of Game Theory Approaches for Mobile Ad-Hoc Network’s Security

Messabih,

Kerrache,

Cheriguene

et al. 2023

IEEE Access

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The issue of cybersecurity has gained significant prominence in the context of safeguarding the privacy and integrity of information, especially with the increasing prevalence of interconnected devices such as Mobile Ad-hoc networks (MANETs). Due to their nature, particularly in light of the unavoidable security flaws that arise from the complexity of current and future systems and services, it is crucial to explore how to prevent cyberattacks efficiently. On the other hand, game theory is one of the most significant methods used in this field. Yet, survey articles that consider game theory for security in MANETs are less common. Therefore, in this paper, we survey the articles related to game theory for security in MANETs, presenting an overview of the basic MANETs concepts and their main vulnerabilities. Also, we will propose a taxonomy for recent works, highlighting the limits of the existing works, and outlining some potential future directions for cybersecurity in Ad-hoc networks.INDEX TERMS Cybersecurity, game theory, intrusion, malicious, Mobile Ad-hoc networks (MANETs).• The first type is an honest node which is interested in establishing communication with other nodes with the

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Section: A Previous Surveys and Contributionsmentioning

confidence: 99%

An Overview of Game Theory Approaches for Mobile Ad-Hoc Network’s Security

Messabih,

Kerrache,

Cheriguene

et al. 2023

IEEE Access

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“…In a game, if P 1 picks the pure strategy i, P 2 picks j, and P 3 picks k, then the payoff to P 1 is a ijk , the payoff to P 2 is b ijk , and the payoff to P 3 is c ijk . Define the S 1 × S 2 × S 3 payoff "cubes" A, B, and C by [30,31]: We construct one matrix for each of player 3's actions (strategies); thus player 1 chooses a row, player 2 chooses a column, and player 3 chooses a table. The bi-matrix for three players' game with its payoff is illustrated in Tab.…”

Section: Proposed Modelmentioning

confidence: 99%

“…Herein, a 111 denotes the payoff value for player 1's plan or strategy given return function u 1 (s 1 , t 1 , c 1 ) if (s 1 , t 1 , c 1 ) is chosen, b 111 is the amount of return for player 2's strategy given reward function u 2 (s 1 , t 1 , c 1 ) if (s 1 , t 1 , c 1 ) is picked, and c 111 is the payoff value for player 3's strategy with payoff function u 3 (s 1 , t 1 , c 1 ). The game for the suggested recovery model follows the non-cooperative game as all players in the game chose their strategies independently to earn a maximum profit [15,30,31]. These types of games can be formalized using normal-form representation [32].…”

Section: Proposed Modelmentioning

confidence: 99%

Database Recovery Technique for Mobile Computing: A Game Theory Approach

Madbouly¹,

Mokhtar²,

Darwish³

2022

Computers, Materials &Amp; Continua

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Contact between mobile hosts and database servers presents many problems in the Mobile Database System (MDS). It is harmed by a variety of causes, including handoff, inadequate capacity, frequent transaction updates, and repeated failures, both of which contribute to serious issues with the information system's consistency. However, error tolerance technicality allows devices to continue performing their functions in the event of a failure. The aim of this paper is to identify the optimal recovery approach from among the available state-of-the-art techniques in MDS by employing game theory. Several of the presented recovery protocols are chosen and evaluated in order to determine the most critical factors affecting the recovery mechanism, such as the number of processes, the time required to deliver messages, and the number of messages logged-in time. Then, using the suggested payout matrix, the game theory strategy is adapted to choose the optimum recovery technique for the specified environmental variables. The NS2 simulator was used to carry out the tests and apply the chosen recovery protocols. The experiments validate the proposed model's usefulness in comparison to other methods.

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“…Game theory is used to build a strategic mathematical model to understand the interaction among players involved in the communication process. This involves implementing game theory to identify and resist vulnerable conditions during communication [37][38][39][40]. There has been some interesting research using game theory which offers potential insight into its capability to model intrusive interactions among communicating nodes [41].…”

Section: Game-based Security Studiesmentioning

confidence: 99%

SGM: Strategic Game Model for Resisting Node Misbehaviour in IoT-Cloud Ecosystem

et al. 2022

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This paper introduces a computational strategic game model capable of mitigating the adversarial impact of node misbehaviour in large-scale Internet of Things (IoT) deployments. This security model’s central concept is to preclude the participation of misbehaving nodes during the routing process within the ad hoc environment of mobile IoT nodes. The core of the design is a simplified mathematical algorithm that can strategically compute payoff embrace moves to maximise gain. At the same time, a unique role is given to a node for restoring resources during communication or security operations. Adopting an analytical research methodology, the proposed model uses public and private cloud systems for integrating quality service delivery with secure agreements using a Global Trust Controller and core node selection controller to select an intermediate node for data propagation. The initiation of the game model is carried out by identifying mobile node role followed by choosing an optimal payoff for a normal IoT node. Finally, the model leads to an increment of gain for selecting the regular IoT node for routing. The findings of the evaluation indicate that the proposed scheme offers 36% greater accuracy, 25% less energy, 11% faster response time, and 27% lower cost than the prevalent game-based models currently used to solve security issues. The value added by the proposed study is the simplified game model which balances both security demands and communication demands.

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A survey on game theoretic approaches for privacy preservation in data mining and network security

Cited by 12 publications

References 8 publications

An Overview of Game Theory Approaches for Mobile Ad-Hoc Network’s Security

An Overview of Game Theory Approaches for Mobile Ad-Hoc Network’s Security

Database Recovery Technique for Mobile Computing: A Game Theory Approach

SGM: Strategic Game Model for Resisting Node Misbehaviour in IoT-Cloud Ecosystem

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