Internet of Things in Smart and Secure Applications Development‐Based Sustainability
Abstract
In a nutshell, the IoT operates on an entirely new regime in which smart objects interconnect and communicate data so that they can operate machinery or physical equipment. The connection is the reason smart and truly secure apps can be built across so many varied domains. These areas include urban infrastructure, transportation, smart grids, and energy management systems in commercial buildings that want to radically reduce power bills and are at the head of that list of water usage, as well as agriculture—food grown in large-scale greenhouses on city peripheries and fish farms—and healthcare. To do so, the majority turns to using oceans of IoT devices that increasingly control our natural sustainability problems like wasting assets around, protecting nature, or actively recycling energy reuse. This chapter discusses mainly the Internet of Things (IoT), smart applications, security, and sustainability. It also looks at smart and secure solutions aligned with IoT to meet sustainability targets. It discusses themes such as data privacy, the degree of interoperability, and whether implementing IoT technology in an ecologically conscious manner is energy efficient, exposing many advantages and disadvantages. The chapter also presents multiple illustrations and case studies where the issues of sustainability have been dealt with, comprehensively using an IoT solution. These technologies have many applications: intelligent transportation systems, smart energy management systems, waste management, and precision agriculture being a few. It also examines different strategies and principles to secure sustainable IoT-based applications in detail developed throughout this chapter. Essentials for hardened security measures to mitigate threats include, but are not limited to, authentication, packet integrity verification mechanisms (PIV), encryption, and access policy control, as strong firmware upgrade mechanisms should be delivered.
Publication details
- Journal / source
- Predictive Methods in Next‐Generation Computing
- Publisher
- Wiley
- Pages
- 83–106
- Publication date
- 6 March 2026
- Language
- EN