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

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.