WISeKey International Holding, a renowned global IoT and cybersecurity company, has reportedly announced that it is collaborating with various global technology enterprises to offer an innovative IoT EWS (early warning system). This system can be utilized to enable the early identification of viruses as well as future outbreaks.
The company’s EWS is designed with the aim of saving lives by leveraging early virus detection as one the world’s main technology integrations to prevent COVID-19 outbreak in the future. Consequently, IoT (Internet of Things), cybersecurity, integrated with AI (artificial intelligence), are already being utilized to help forecast any future outbreak regions.
By using the company’s IoT-sensors with the WIShelter app, that has the ability to display the geolocation of the targeted quarantines and also measure temperature, WISeKey can help curb the spread of the coronavirus. Furthermore, data analytics, IoT, a web of interconnected systems, enhancements in digital certification, ubiquitous connectivity, and AI, can help provide an early warning system to limit the spread of different kinds of infectious diseases.
WISeKey’s EWS is the main type of data-driven IoT system. The potential advantages of adopting a semantic-type EWS include more easier data source and sensor plug-and-play, richer, simpler, and highly dynamic metadata-driven data analysis, along with easier service interoperability as well as orchestration.
The IoT technology could only live up to its potential if the linked devices, the information they generate, the business apps that control them as well as the services surrounding them, can be completely trusted and secured.
In the present scenario, where instances of cyberattacks have increasingly become common and more sophisticated, an urgent need to completely rethink the IoT cloud Security Stack is being created. IoT-enabled products and services would generate copious amounts of data, which if well-analyzed, could be of significant value to product manufacturers, government organizations, end-users, and corporations.