Hatami, Maryam (2024) Secure and Autonomic Framework for SCHC Context Management in LoRaWAN-IPv6 Networks. Masters thesis, Concordia University.
Preview |
Text (application/pdf)
7MBHatami_MCompSc_F2024.pdf - Accepted Version Available under License Spectrum Terms of Access. |
Abstract
The rapid growth of IoT technologies demands seamless integration of communication protocols, es- pecially for devices in constrained environments. This thesis focuses on integrating LoRaWAN with IPv6 networks by developing a secure and autonomous framework for managing SCHC (Static Context Header Compression) contexts. The research aims to create a secure, human-free solution that maintains reasonable data transmission times between LoRaWAN and IPv6, essential for widespread IoT adoption. For instance, in smart agriculture, dynamic SCHC updates support equipment mobility; in industrial automation, SCHC ensures consistent data transmission amid changing topologies; in smart cities, it adapts to evolving infras- tructure; and in healthcare, it manages reliable health data transmission.
The thesis introduces the concept of SCHC Zero Context, enabling immediate device communication by embedding pre-configured SCHC rules during manufacturing. This innovation facilitates an efficient bootstrapping process. Additionally, a comparative analysis of BRSKI (Bootstrapping Remote Secure Key Infrastructure) and cBRSKI (constrained BRSKI) demonstrates the feasibility of the solution for energy- constrained IoT devices.
The research underscores the importance of integrating security across IoT architecture layers. By com- bining LoRaWAN’s data link layer security with IPv6’s global internet, the proposed framework offers robust protection against common threats, ensuring secure onboarding and communication throughout a de- vice’s life-cycle.
This work provides a scalable, secure solution for integrating LoRaWAN with IPv6, laying the ground- work for future research in secure and efficient dynamic SCHC context management.
Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering |
---|---|
Item Type: | Thesis (Masters) |
Authors: | Hatami, Maryam |
Institution: | Concordia University |
Degree Name: | M. Comp. Sc. |
Program: | Computer Science |
Date: | August 2024 |
Thesis Supervisor(s): | Cespedes, Sandra and Atwood, John |
ID Code: | 994500 |
Deposited By: | Maryam Hatami |
Deposited On: | 24 Oct 2024 16:18 |
Last Modified: | 24 Oct 2024 16:18 |
Repository Staff Only: item control page