Optimal Secure Multi-Layer IoT Network Design

TL;DR

This paper presents a framework for designing multi-layer IoT networks that are resilient to cyber attacks by strategically adding and securing links within resource constraints, ensuring robustness for critical applications.

Contribution

It introduces an optimal design methodology for secure multi-layer IoT networks, accounting for strategic cyber attacks and resource limitations, with practical case studies.

Findings

Derived lower bounds on the number of secure links needed

Developed a construction method for resilient network design

Validated results through IoBT case studies

Abstract

With the remarkable growth of the Internet and communication technologies over the past few decades, Internet of Things (IoTs) is enabling the ubiquitous connectivity of heterogeneous physical devices with software, sensors, and actuators. IoT networks are naturally two-layer with the cloud and cellular networks coexisting with the underlaid device-to-device (D2D) communications. The connectivity of IoTs plays an important role in information dissemination for mission-critical and civilian applications. However, IoT communication networks are vulnerable to cyber attacks including the denial-of-service (DoS) and jamming attacks, resulting in link removals in IoT network. In this work, we develop a heterogeneous IoT network design framework in which a network designer can add links to provide additional communication paths between two nodes or secure links against attacks by investing resources. By anticipating the strategic cyber attacks, we characterize the optimal design of secure IoT network by first providing a lower bound on the number of links a secure network requires for a given budget of protected links, and then developing a method to construct networks that satisfy the heterogeneous network design specifications. Therefore, each layer of the designed heterogeneous IoT network is resistant to a predefined level of malicious attacks with minimum resources. Finally, we provide case studies on the Internet of Battlefield Things (IoBT) to corroborate and illustrate our obtained results.