"Internet of Things and Cloud Computing with emphasis on security in intelligent environments"

The subject of the proposed doctoral dissertation is the study of intelligent systems for measuring and monitoring physical quantities with emphasis on security and privacy. The use of improved routing protocols creates a fast, efficient system with low power consumption, network resources and processing power. The rapid development of semiconductor technology has created low-cost devices that allow the integration of wireless interfaces into microprocessors and sensors (ESP8266 with ESP32 successor). This interconnection is via WiFi and in future with the development of the mobile network it will furthermore allow the interconnection via 5G. A major issue to be investigated is the pre-processing of data to save network resources and energy, as the reception of data from a large system is difficult and the large-volume traffic makes processing more difficult. The large volume of data involved makes it necessary to use NoSQL databases in cloud infrastructures. Decision making requires computational intelligence (CI) with Machine Learning (ML) and Deep Learning (DL) techniques. At this point, algorithms that are efficient in terms of speed and reliability for decision-making should be studied. Another issue that concerns investigation is the integrity, security and privacy of data. As the growing tendency to use smart devices such as lighting, electronic switches, security systems, entertainment, etc. creates large systems and allows unwanted invasion of potential safety gaps. Therefore, all of this amalgam of IoT systems is difficult to control. Sensors that control the status of certain conditions in applications such as street lighting, lack resources in network security. The use of multiple data networks that serves as bridges for their interconnection in the final network poses risks and data encryption is required. A network layout with security protocols using cryptographic algorithms will be studied. Another area to be investigated is Network Traffic Monitoring, which will monitor the network traffic and it will be able to detect possible abnormal behavior. It will be able to detect the source of the problem, inform the administrators and isolate it if required.

"The implementation of the Internet of Things (loT) and Cyber Physical systems (CPS) in flooding early warning systems and effective disaster management"

The purpose of this doctoral thesis is to study the implementation of the Internet of Things and the use of Cyber Physical systems in flooding early warning systems in order to achieve effective disaster management. An environmental and geospatial analysis will be applied with the use of a geographical information system (GIS) in order to study and achieve the optimal placement of sensors on the ground, so to monitor and take measurements that will later on indicate when the level of the water running down towards a populated area is rising dangerously, or if there is a strong risk for a storm to occur, by measuring, temperature, moisture, and other weather parameters. If there is a critical combination of these parameters, an early warning system can alert the local population or aid the population to safety. Moreover by implementing a cyber-physical system as an early warning system we can start transitioning into a smart controlled environment.

"Development of an Emergency Information System based on the Digital Radio Technology for the Public Protection Services"

The target of this research is the development of a wide range of diagnostic activities for complicated emergency situations using Artificial Intelligence techniques that should be able to cover almost every aspect of the diagnostic activity, as in-time detection, prediction and compensation of the problem causes for the cases where it is possible. The development of such a system requires a highly interactive development environment that should be able to permit the combination of symbolic representations with arithmetic information in an effective way.

The mathematical model should be able to perform comparisons and diagnostic decisions based on dynamically changing situations.

The development environment for the effective interaction of the various kinds of knowledge sources will be developed using a suitable combination of development environments and programs.

The development of an intelligent information system to provide suitable information to the civilians in emergency situations as well as the management of the emergency situations based on the analysis of suitable variables and information using the capabilities of the intelligent technology is the basic target of this research.

"A robust Internet of Autonomous Vehicles platform for unmanned ground/air/marine vehicles using distributed ledger technologies for data validation"

The purpose of this dissertation is the implementation of a multi-protocol, hardware agnostic (x86, ARM, PowerPC etc.) and immune to cyber-attacks platform based on microservices, that will be used for the communication, control, data validation and cooperation planning by unmanned ground, aerial, and marine vehicles. This platform will expand the Internet of Things (IoT) notion into the Internet of Autonomous Vehicles, hence it will allow the interaction between users and autonomous vehicles, as well as between the autonomous vehicles themselves, using web/ cloud/ smartphone applications that have access to the internet. The ultimate goal of this platform is to enable autonomous-vehicles-as-a-service; A multi-protocol end-to-end platform that will manage the communication and controls of the autonomous vehicles during the operations that have been requested by the user, with cloud data analytics and edge machine learning functionalities