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An Authentication-Based Secure Data Aggregation Method in Internet of Things.

Maryam Ataei Nezhad1, Hamid Barati1, Ali Barati1

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|August 22, 2022
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Summary
This summary is machine-generated.

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.

Keywords:
AuthenticationElliptic curve cryptographyInternet of thingsRail fence cipherSecure routingSecurity

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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.