System Support for Accountable and Trusted Data Collection and Fog Processing in Remote Electronic Monitoring

Edge data collection systems play an increasingly important role in enabling digital forensics, by facilitating the secure and efficient capture, processing, and transmission of data from remote environments. These systems, however, face challenges related to data integrity, privacy, and accountability, especially when dealing with sensitive data in compliance-driven domains such as video surveillance. Remote Electronic Monitoring systems in industrial fisheries exemplify these challenges, through their deployment in harsh and privacy-sensitive environments. While this field has primarily been focused on challenges with catch estimation and sustainability, this paper describes how the Dorvu system provides support for accountable, traceable, and verifiable edge data collection and processing. This is achieved by providing different stakeholders, such as data subjects and legal authorities, with mechanisms that can be used to verify collected data, monitor system behavior, and challenge decisions made on the grounds of system output, and as such hold the system accountable, while it is deployed in remote areas.