An efficient neighbor nodes trust tagging model for optimized route detection in smart grids with secure data...

Area of Science:

• Computer Science
• Electrical Engineering
• Network Security

Background:

• Smart Grids are crucial for future energy management, enabling real-time interaction between suppliers and customers.
• Wireless mesh networks in smart grids present significant cybersecurity vulnerabilities and risks.
• Existing security solutions often require substantial computational resources, highlighting a need for efficient alternatives.

Purpose of the Study:

• To develop a novel and computationally efficient method for securing data communication in smart grids.
• To address the inherent vulnerabilities of wireless mesh networks within smart grid infrastructure.
• To propose a new trust-based mechanism for detecting and thwarting cyber-attacks on smart grid routing protocols.

Main Methods:

• A family relationship-based method is employed to assess node originality, considering power consumption and signal strength.
• A unique secure energy routing mechanism is developed for smart grid data communication.
• The proposed Neighbor Nodes Trust Tagging Model for Optimized Route Detection (NNTT-ORD) is introduced.

Main Results:

• The NNTT-ORD model effectively establishes secure routes for data transmission in smart grids.
• The proposed model demonstrates superior performance in providing a secure environment compared to existing methods.
• The approach successfully addresses the challenge of detecting and thwarting major assaults on routing protocols.

Conclusions:

• The NNTT-ORD model offers a promising solution for enhancing the security of smart grid communications.
• The developed mechanism provides a secure and efficient way to manage data exchange in smart grids.
• Further research into secure communication protocols is essential for the robust development of smart grids.