SecIoTComm: An Actor-Based Model and Framework for Secure IoT Communication

Author:

Eze KelechiORCID,Ahmed Ahmed AbdelmoamenORCID,Akujuobi Cajetan

Abstract

Internet of Things (IoT) ecosystems are becoming increasingly ubiquitous and heterogeneous, adding extra layers of complexity to secure communication and resource allocation. IoT computing resources are often located at the network edge and distributed across many heterogeneous sensors, actuators, and controller devices. This makes it challenging to provide the proper security mechanisms to IoT ecosystems in terms of manageability and maintainability. In an IoT ecosystem, computational resources are naturally distributed and shareable among their constituency, which creates an opportunity to distribute heavy tasks to them. However, resource allocation in IoT requires secure and complex communication and coordination mechanisms, which existing ones do not adequately support. In this paper, we present Secure Actor-based Model for IoT Communication (SecIoTComm), a model for representing secure IoT communication. SecIoTComm aims to represent secure IoT communication properties and design and implement novel mechanisms to improve their programmability and performance. SecIoTComm separates the communication and computation concerns, achieving design modularity in building IoT ecosystems. First, this paper presents the syntax and operational semantics of SecIoTComm. Then, we present an IoT framework implementing the key concepts of the model. Finally, we evaluate the developed framework using various performance and scalability metrics.

Funder

National Science Foundation

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference22 articles.

1. An Actor-Based Runtime Environment for Heterogeneous Distributed Computing;Ahmed;Proceedings of the International Conference on Parallel & Distributed Processing, PDPTA’19,2019

2. IoT Service Slicing and Task Offloading for Edge Computing

3. Hawk-Eye: An AI-Powered Threat Detector for Intelligent Surveillance Cameras

4. A Mobile-Based System for Detecting Plant Leaf Diseases Using Deep Learning

5. A Model and Middleware for Composable IoT Services;Ahmed;Proceedings of the International Conference on Internet Computing & IoT, ICOMP’19,2019

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