New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges

Abstract

The field of IoT has blossomed and is positively influencing many application domains. In this paper, we bring out the unique challenges this field poses to research in computer systems and networking. The unique challenges arise from the unique characteristics of IoT systems such as the diversity of application domains where they are used and the increasingly demanding protocols they are being called upon to run (such as, video and LIDAR processing) on constrained resources (onnode and network). We show how these open challenges can benefit from foundations laid in other areas, such as, 5G cellular protocols, ML model reduction, and device-edge-cloud offloading. We then discuss the unique challenges for reliability, security, and privacy posed by IoT systems due to their salient characteristics which include heterogeneity of devices and protocols, dependence on the physical environment, and the close coupling with humans. We again show how the open research challenges benefit from reliability, security, and privacy advancements in other areas. We conclude by providing a vision for a desirable end state for IoT systems.

IoE: Towards application-specific technology selection

“…The heterogeneous nature of IoE devices and networks requires diverse reliability protocols. Reliable architecture, operation and application development must address errors in the hardware, the software, interactions with the physical environment, and interactions with the human users [32]. The authors in [33] explored the reliability of the NB-IoT network in intelligent systems.…”

Enhancing Test Cases Prioritization for Internet of Things based systems using Search-based Technique

“…IoT systems characteristics are the reasons behind the challenges faced for testing such system functionalities and confedentiality, networks reliability, and security and privacy of IoT systems as discussed in [16], stressing for the need to develop new models to fit for the quality of IoT systems. A clear call for machine learning models was defined to deal with the requirements to fulfill for systems quality.…”

Complexity Space Modelling for Industrial Manufacturing Systems

“…IoT can be defined as a network of devices that interacts with the physical surroundings and which communicates over wireless networks in the contexts of value creation. [1] This means that the internet is expanded beyond traditional devices like smartphones, computers, or tablets. This leads to a situation where millions of devices are interconnected and generate and interchange data in unprecedented scale under the conception of Big Data.…”