Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities

Deep Learning in Robotics for strengthening Industry 4.0.: Opportunities, Challenges and Future Directions.- The Design of a Pheromone-based Robotic Varroa Trap for Beekeeping Applications.- Walk Through Event Stream Processing Architecture, Use Cases and Frameworks Survey.- Artificial Intelligence for Cybersecurity: Recent Advancements, Challenges and Opportunities.- Privacy & Security Concerns in Edge Computing-based Smart Cities.- A Taxonomy of DDoS Defense Mechanism in Software Defined Networking (SDN).- Developing instrument for investigation of blockchain technology.- An IoT-based system for expert user supporting to monitor, manage and protect Cultural Heritage Buildings.- Commercialising Blockchain in a Smart City: Autonomous Vehicles, Cryptocurrency, and Contract Law.- Finding all shortest meaningful meta-paths between two vertices of a Secured Large Heterogeneous Information Network using distributed algorithm.- Creation of a Dataset Modeling the Behavior of Malware Affecting the Confidentiality of Data Managed by IoT Devices.- Anomaly Detection on Static and Dynamic Graphs using Graph Convolutional Neural Network.- Secure Medical Data sharing through Blockchain and Decentralized Models.