University of Victoria

Published purpose

The proposed Project intends to create machine learning methods and a secure underwater communication suite to track and comprehend the impacts of environmental stresses on Canada's blue carbon ecosystems. In particular, the Project aims to detect patterns and trends in stressor effects on these ecosystems and the dependent aquatic species by analyzing data from numerous sensor nodes. Data availability and integrity will be guaranteed through the creation of a secure underwater sensor suite, and the security threats present within the sensor network will be quantified by vulnerability assessment. The Project is expected to provide a thorough machine learning-based ecosystem monitoring system, a better understanding of the impacts of stressors, a real-time monitoring software system, a secure underwater sensor suite, and information on vulnerability exploitation. In general, the goal of the Project is to support efficient ecosystem management and the preservation of blue carbon ecosystems.