Quantum-Resilient Self-Evolving Blockchains: AI- Driven Consensus and Autonomous Security Upgrades


Authors : Sapna Bhimajiyani

Volume/Issue : Volume 9 - 2024, Issue 10 - October


Google Scholar : https://tinyurl.com/3ryas9xa

Scribd : https://tinyurl.com/nxfkj262

DOI : https://doi.org/10.38124/ijisrt/IJISRT24OCT188

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : The fragility of conventional blockchain systems is becoming more apparent in face of the relentless march forward in quantum computing. In this paper, we suggest the optimal architecture for quantum-resistant blockchains deploying AI regarding consensus self- evolving security protocols and mechanisms. An intuitive example of this integration is the use of machine learning algorithms for a self-adapting security system, which automatically adjusts the protection on its infrastructure capabilities to evolving quantum threats. In this paper, we address the consequences of quantum computing in blockchain security introduce a framework for AI-assisted consensus (Section 3) and cover the feasibility of self- evolving blockchains that guarantee their reliability as well as integrity in a post-quantum era.

Keywords : Blockchain, Security Upgrades, integrity, Quantum Computing, , Artificial intelligence, Consensus Mechanism , Self-Evolving Systems.

References :

  1. Chen, L. K., & Zhang, S. (2017). Post-quantum cryptography: Current status and future directions. *Cryptography Journal*.
  2. Shore, P.S. W. (1997). Polynomial-time algorithms for prime factorization and discrete logarithms in quantum computers. *SIAM Research*.
  3. Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic currency system. *Bitcoin.org link*.
  4. Bhatt, C., & Kaur, A. (2019). Quantum cryptography: The future of secure communications. *International Journal of Computer Management*.
  5. Zhang, H., and Wu, J. (2020). AI-driven concepts in blockchain: A review. *IEEE Transactions on Neural Networks and Learning Systems*.

The fragility of conventional blockchain systems is becoming more apparent in face of the relentless march forward in quantum computing. In this paper, we suggest the optimal architecture for quantum-resistant blockchains deploying AI regarding consensus self- evolving security protocols and mechanisms. An intuitive example of this integration is the use of machine learning algorithms for a self-adapting security system, which automatically adjusts the protection on its infrastructure capabilities to evolving quantum threats. In this paper, we address the consequences of quantum computing in blockchain security introduce a framework for AI-assisted consensus (Section 3) and cover the feasibility of self- evolving blockchains that guarantee their reliability as well as integrity in a post-quantum era.

Keywords : Blockchain, Security Upgrades, integrity, Quantum Computing, , Artificial intelligence, Consensus Mechanism , Self-Evolving Systems.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe