Trustworthy computing for secure smart cities

Supporting smart services are expected to become the characteristic of all cities in the world. This brings with it a number of security challenges as breaching security might have a devastating impact on citizen and city infras-tructure. This thematic issue on trustworthy computing for secure smart cities attempts to shed light on the latest research trends on the improvement of smart city security using trustworthy computing methods and techniques. We hope that researchers will benefit from the papers in this issue and find more motivation to pay attention to this important need. The paper “ Multi-criteria decision making-based optimum virtual machine selection technique for smart cloud environment ” by Singh et al. analyses the performance efficiency of the data centre with and without job request consolidation. A technique for determining the order of preferences was proposed using similarity to the ideal solution-based virtual machine selection algorithm, which was able to select the best VM using parameters such as the provisioned or available capacity, and memory, as well as the state of the machine. In the paper entitled “ DDoS prevention architecture using anomaly detection in Fog-empowered networks ” by Sharma et al., the authors propose a lightweight and robust framework for DDoS attack detection and prevention using mathematical models for detecting anomalies in the behaviour of Fog devices connected to the Fog node. The proposed approach is an efficient algorithm to identify and handle DDoS causing devices on a network by identifying the rogue node. A mist-assisted Fog computing-based load balancing strategy for smart cities resource allocation on a and reinforcement learning in combination a load balancing procedure. proposed model