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An Authentication-Based Secure Data Aggregation Method in Internet of Things
Maryam Ataei Nezhad1, Hamid Barati1, Ali Barati1
1Department of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran.
This study introduces a novel security method for the Internet of Things (IoT) to protect user data. The proposed approach enhances security and network performance, addressing major privacy concerns in connected environments.
Area of Science:
- Computer Science
- Network Security
- Internet of Things (IoT)
Background:
- The proliferation of Internet of Things (IoT) devices has raised significant privacy and security concerns due to increased vulnerability to data theft by malicious actors.
- Existing security measures struggle to adequately protect sensitive information transmitted across interconnected devices, hindering IoT adoption.
- The need for robust security protocols is paramount to ensure user trust and facilitate the widespread implementation of IoT technologies.
Purpose of the Study:
- To propose and evaluate a novel, multi-phase security method for enhancing data protection in Internet of Things (IoT) networks.
- To address critical security challenges, including unauthorized access and data breaches, within clustered IoT environments.
- To improve the overall performance of IoT networks by optimizing energy consumption and data transmission efficiency.
Main Methods:
- A three-phase security framework is implemented: 1) intra-cluster key sharing using a star structure for encrypted parent-child communication.
- 2) Multi-hop data transmission within clusters with hop-by-hop encryption and dynamic key updates.
- 3) Inter-cluster communication security enhanced through an authentication protocol for cluster heads to prevent malicious node infiltration. Simulation performed using NS2.
Main Results:
- The proposed method demonstrated significant improvements in key performance indicators compared to existing solutions.
- Observed enhancements include reduced energy consumption and end-to-end delay.
- Notable improvements were also recorded in packet delivery rate and the number of active nodes, indicating increased network efficiency and reliability.
Conclusions:
- The developed security protocol effectively enhances the privacy and information security of the Internet of Things (IoT).
- The method provides a robust solution for securing data in both intra-cluster and inter-cluster communications.
- The simulation results validate the proposed approach's superiority in terms of network performance and security efficacy.
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