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A hybrid AI-Blockchain security framework for smart grids.

Yazeed Yasin Ghadi1, Tehseen Mazhar2,3, Tariq Shahzad4

  • 1Department of Computer Science and Software Engineering, Al Ain University, Abu Dhabi, 12555, United Arab Emirates.

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Summary
This summary is machine-generated.

This study addresses smart grid cybersecurity vulnerabilities by categorizing cyberattacks and proposing novel defenses using artificial intelligence (AI) and blockchain technology to combat sophisticated threats.

Keywords:
Artificial intelligenceBlockchainMachine learningRenewable energySmart gridsSmart meters

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Cybersecurity

Background:

  • Smart grids are increasingly vulnerable to sophisticated cyberattacks targeting communication layers.
  • The frequency and complexity of cyber threats against critical infrastructure are rising.
  • Existing security measures may not adequately address advanced attack vectors like deceptive data injection.

Purpose of the Study:

  • To categorize and analyze cyberattacks on smart grid communication networks.
  • To propose novel detection and defense strategies leveraging AI and blockchain.
  • To address challenges in smart grid cybersecurity, including data integrity and integration.

Main Methods:

  • Categorization of smart grid cyberattacks based on targeted communication layers.
  • Development of novel taxonomies for attack detection and defense implementation.
  • Investigation of artificial intelligence and blockchain techniques for identifying deceptive data injection attacks.

Main Results:

  • A comprehensive analysis and categorization of smart grid cyberattacks.
  • Proposed innovative defense strategies integrating artificial intelligence and blockchain technology.
  • Identification of key challenges, including counterfeit data and big data integration with blockchain.

Conclusions:

  • Robust cybersecurity safeguards are crucial for smart grid infrastructure protection.
  • Integrating AI and blockchain offers promising solutions for enhanced smart grid security.
  • Further research is needed to advance technologies against emerging cyber threats.