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SASC: Secure and Authentication-Based Sensor Cloud Architecture for Intelligent Internet of Things.

Khalid Haseeb1, Ahmad Almogren2, Ikram Ud Din3

  • 1Department of Computer Science, Islamia College Peshawar, Peshawar 25000, Pakistan.

Sensors (Basel, Switzerland)
|May 1, 2020
PubMed
Summary

This study introduces a Secure Sensor Cloud Architecture (SASC) for Internet of Things (IoT) applications, enhancing scalability and security. The SASC improves network lifetime and reduces energy consumption for IoT devices.

Keywords:
Internet of Thingsnode’s securitysensor-cloudunsupervised learningwireless sensor network

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Area of Science:

  • Computer Science
  • Network Engineering
  • Cybersecurity

Background:

  • The integration of Wireless Sensor Networks (WSN) and the Internet of Things (IoT) presents challenges in managing large, heterogeneous devices and massive data.
  • IoT devices have limited resources and are vulnerable to malicious network attacks, necessitating robust security and efficient data handling.
  • Existing solutions often struggle with scalability, data processing, and security in complex IoT environments.

Purpose of the Study:

  • To propose a Secure Sensor Cloud Architecture (SASC) for IoT applications that enhances network scalability, data processing efficiency, and security.
  • To address the challenges of data management, storage, and security in resource-constrained IoT environments.
  • To improve the overall performance of IoT networks, including network lifetime and energy efficiency.

Main Methods:

  • Implemented a two-phase architecture: unsupervised machine learning for node grouping using weighted-based centroid vectors, and sensor-cloud infrastructure for storage and service delivery.
  • Integrated a mathematically unbreakable one-time pad (OTP) encryption scheme to secure the sensor-cloud infrastructure against malicious nodes.
  • Utilized Network Simulator (NS3) for conducting simulation experiments to evaluate the proposed architecture's performance.

Main Results:

  • The proposed SASC demonstrated superior performance compared to state-of-the-art approaches in key metrics.
  • Significant improvements were observed in network lifetime, reduction in packet drop ratio, and decreased energy consumption.
  • The architecture effectively managed transmission overhead while ensuring robust data security.

Conclusions:

  • The Secure Sensor Cloud Architecture (SASC) effectively addresses scalability, data processing, and security challenges in IoT applications.
  • The proposed methods, including unsupervised machine learning and OTP encryption, provide a secure and efficient solution for IoT networks.
  • The SASC offers a promising approach for enhancing the performance and reliability of future IoT deployments.