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Towards Security Joint Trust and Game Theory for Maximizing Utility: Challenges and Countermeasures.

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This paper reviews trust and game theory in networks, highlighting their role in enhancing security and maximizing utility. It addresses challenges like malicious node detection and energy efficiency for better network performance.

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Area of Science:

  • Computer Science
  • Network Security
  • Game Theory

Background:

  • Networks are crucial for societal and technological advancement.
  • Network security and utility maximization are key challenges.
  • Existing attacks necessitate trust mechanisms and robust security protocols.

Purpose of the Study:

  • To provide a comprehensive overview of trust and game theory in network research.
  • To analyze how these concepts improve network effectiveness, profits, and security.
  • To propose future research directions for network development.

Main Methods:

  • Literature review of existing research on trust and game theory in networks.
  • Analysis of network utility maximization strategies.
  • Identification of research gaps in distributed networks.

Main Results:

  • Trust and game theory can significantly enhance network security and utility.
  • Key challenges include rapid malicious node expulsion and balancing energy consumption with transmission rates.
  • Network utility can be optimized across effectiveness, profits, and security.

Conclusions:

  • Game theory and trust are vital for secure and efficient networks.
  • Further research is needed to address specific challenges in distributed networks.
  • A proposed research agenda aims to advance the application of these theories for improved network performance.