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Explores challenges in the IoT era, resource-constrained nodes, complex algorithms, security solutions, and blockchain adoption for secure data storage.
Explores dependability in industrial automation, covering reliability, safety, fault characteristics, and examples of failure sources in various industries.
Explores machine learning security, including model stealing, altering outputs, adversarial conditions, and privacy challenges, emphasizing the importance of addressing biases in machine learning models.
Explores the challenges of protecting location privacy and various techniques to mitigate location-related inferences, highlighting the importance of trust assumptions and practical issues.
