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Secure Data Aggregation Based on End-to-End Homomorphic Encryption in IoT-Based Wireless Sensor Networks.

Mukesh Kumar1, Monika Sethi2, Shalli Rani2

  • 1Panipat Institute of Engineering and Technology, Panipat 132103, Haryana, India.

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|July 14, 2023
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Summary
This summary is machine-generated.

This study introduces End-to-End Homomorphic Encryption (EEHE) for secure data gathering in IoT Wireless Sensor Networks (WSNs). EEHE enables secure data aggregation and detects wormhole attacks without compromising data confidentiality.

Keywords:
IoT-based WSNdata aggregationhomomorphic encryptionsecure data aggregationwormhole attack

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Wireless Sensor Networks

Background:

  • Data aggregation in Wireless Sensor Networks (WSNs) is vulnerable to security threats like data breaches and adversarial attacks due to clear text transmission.
  • Hop-by-hop encryption introduces computational overhead and key management complexities, increasing security risks.
  • Existing methods struggle to balance security with efficient data aggregation in IoT environments.

Purpose of the Study:

  • To propose a novel End-to-End Homomorphic Encryption (EEHE) based solution for secure data gathering in IoT-based WSNs.
  • To enable secure data aggregation using functions like COUNT, SUM, and AVERAGE on encrypted data.
  • To enhance security by detecting wormhole attacks during the data aggregation process.

Main Methods:

  • Implementation of an End-to-End Homomorphic Encryption (EEHE) protocol.
  • Secure data aggregation without requiring intermediate nodes to decrypt data.
  • Integration of Message Authentication Codes (MAC) for data integrity validation.
  • Development of mechanisms for early detection of wormhole attacks.

Main Results:

  • Achieved end-to-end security for data gathering in IoT-based WSNs.
  • Successfully performed aggregation functions (COUNT, SUM, AVERAGE) on encrypted data.
  • Demonstrated enhanced data integrity through MAC validation.
  • Enabled early detection of wormhole attacks within the aggregation process.

Conclusions:

  • EEHE provides a robust solution for secure data aggregation in WSNs, addressing confidentiality, integrity, and authentication.
  • The proposed method overcomes the limitations of hop-by-hop encryption by eliminating the need for intermediate key management.
  • This approach significantly improves the security posture of IoT-based WSNs against various cyber threats, including wormhole attacks.