A metaheuristic optimization approach for energy efficiency in the IoT networks

© 2020 John Wiley & Sons, Ltd. Recently Internet of Things (IoT) is being used in several fields like smart city, agriculture, weather forecasting, smart grids, waste management, etc. Even though IoT has huge potential in several applications, there are some areas for improvement. In the current work, we have concentrated on minimizing the energy consumption of sensors in the IoT network that will lead to an increase in the network lifetime. In this work, to optimize the energy consumption, most appropriate Cluster Head (CH) is chosen in the IoT network. The proposed work makes use of a hybrid metaheuristic algorithm, namely, Whale Optimization Algorithm (WOA) with Simulated Annealing (SA). To select the optimal CH in the clusters of IoT network, several performance metrics such as the number of alive nodes, load, temperature, residual energy, cost function have been used. The proposed approach is then compared with several state-of-the-art optimization algorithms like Artificial Bee Colony algorithm, Genetic Algorithm, Adaptive Gravitational Search algorithm, WOA. The results prove the superiority of the proposed hybrid approach over existing approaches

Preventing privacy attacks in IoT devices

Today, people use many connected devices to make people’s lives easier in a connected environment. Devices like fitness trackers, smartwatches, smart home appliances, and other devices make people’s lives easier. People can use their smartphones to control the thermostat, television, vacuum cleaner, and other connected devices. While IoT devices make their lives easier, they also concern security threats like privacy. Organizations like the U.S. DoD forbid having fitness trackers on some of their buildings, while other organizations discourage patrons from using them in their spaces. The question of how to use IoT devices and simultaneously safeguard users\u27 privacy is a big challenge. Let’s look at a couple of different ways to secure IoT devices\u27 privacy. Since IoT devices are very vast and very different, no universal scheme exists to prevent privacy attacks; thus, a variety of techniques need to be used. Some blockchain applications and transformations will be used to protect privacy in IoT devices. These algorithms that transform data or use blockchain to manage the data or the flow can prevent privacy attacks. Using such algorithms protects the data of IoT/Smart devices and secures them so that people do not have to worry about not being safe while these devices are being used

Multimedia security and privacy protection in the internet of things: research developments and challenges

With the rapid growth of the internet of things (IoT), huge amounts of multimedia data are being generated from and/or exchanged through various IoT devices, systems and applications. The security and privacy of multimedia data have, however, emerged as key challenges that have the potential to impact the successful deployment of IoT devices in some data-sensitive applications. In this paper, we conduct a comprehensive survey on multimedia data security and privacy protection in the IoT. First, we classify multimedia data into different types and security levels according to application areas. Then, we analyse and discuss the existing multimedia data protection schemes in the IoT, including traditional techniques (e.g., cryptography and watermarking) and emerging technologies (e.g., blockchain and federated learning). Based on the detailed analysis on the research development of IoT-related multimedia security and privacy protection, we point out some open challenges and provide future research directions, aiming to advance the study in the relevant fields and assist researchers in gaining a deeper understanding of the state of the art on multimedia data protection in the IoT