Abstract

Data aggregation protocols are required in Wireless Sensor Networks (WSNs) to improve the data accuracy and extend the network lifetime by reducing the energy consumption. The existing Data Aggregation-Optimal LEACH (DAO-LEACH) protocol for WSN is enhanced in terms of security and fault-tolerance based on Gracefully Degraded Data Aggregation (GDDA) to ensure the integrity of the aggregated data and Hybrid Layer User Authentication (HLUA) to ensure the confidentiality of the aggregated data. This data aggregation scheme rejects the false data from compromised and malfunctioning Sensor Nodes (SNs). HLUA consists of a combination of Secret Key Cryptography (SKC) method such as Message Authentication Code (MAC) algorithm and Public Key Cryptography (PKC) method such as Elliptic Curve Cryptography (ECC). MAC algorithm is used between the Cluster Heads (CHs) and SNs to fulfill lower power demand, while ECC is applied for User Authentication (UA) between CHs and users. The enhanced DAO-LEACH protocol is resistant to security attacks such as, replay attacks, node compromising attacks and impersonation attacks. It performs better in terms of energy consumption, number of nodes alive, End-to-End Delay (EED), false data detection and aggregation accuracy.

Highlights

  • The existing Data Aggregation-Optimal Low Energy Adaptive Clustering Hierarchy (LEACH) (DAO-LEACH) protocol for Wireless Sensor Networks (WSNs) is enhanced in terms of security and fault-tolerance based on Gracefully Degraded Data Aggregation (GDDA) to ensure the integrity of the aggregated data and Hybrid Layer User Authentication (HLUA) to ensure the confidentiality of the aggregated data

  • HLUA consists of a combination of Secret Key Cryptography (SKC) method such as Message Authentication Code (MAC) algorithm and Public Key Cryptography (PKC) method such as Elliptic Curve Cryptography (ECC)

  • MAC algorithm is used between the Cluster Heads (CHs) and Sensor Nodes (SNs) to fulfill lower power demand, while ECC is applied for User Authentication (UA) between CHs and users

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Summary

INTRODUCTION

Degraded Data Aggregation (GDDA) to ensure the integrity of the aggregated data and Hybrid Layer. The enhanced DAO-LEACH protocol is resistant to security attacks such as, replay attacks, node compromising attacks and impersonation attacks It performs better in terms of energy consumption, number of nodes alive, End-to-End Delay (EED), false data detection and aggregation accuracy.

Existing Method-DAO-LEACH
Description of DAO-LEACH
Problems in DAO-LEACH
Related Work
Proposed Method
Data Aggregation
Case 1-Different LSH Codes
1.10. Case 2-Similar LSH Codes
1.12. Key Agreement
1.13. Authentication
1.14. Security Analysis
1.16. Node Compromising Attacks
1.17. Impersonation Attacks
1.18. Performance Evaluation
1.19. Average remaining energy
1.20. Average Energy Consumption of SN
1.21. Energy Consumption in System
1.22. Number of Alive Nodes
1.23. End-to-End Delay
1.24. False Data Detection
Findings
1.25. Reliability Analysis
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