Objective 1: To provide new means to understand the existing and emerging threats that are targeting the IoT based economy and the citizens’ network. To research and analyse how can Blockchain contribute to improving IoT solutions. Moreover, to understand how to solve the know issues o IoT and blockchain.
Objective 2: To introduce the concept and provide the prototype implementation of (virtualized) and self-cognitive, IoT oriented honeypots, easily configurable so as to meet the standards of and adapt to any IoT platform across domains (e.g. embedded mobile devices, smart homes/cities, security & surveillance, etc.) that will be both integrally connected with the core network components and centrally controlled, as well as that will have a transparent function within the network’s total behaviour either it is active or passive.
Objective 3: To deliver the design and implement the corresponding prototype of smart SDN routers for the dynamic (i) detection of suspicious/high risk paths, (ii) re-planning and (iii) re-scheduling of the routing paths of the transmitted information in IoT networks over secure and (per user- or per case-) preferable connections, supporting among others the interference of the human (i.e. semi-supervised approach), when needed. Furthermore, this objective will design and implement a suitable substrate of fog nodes to support secure allocation of compute, storage and network resources for i) localized processing of sensitive information, ii) define the security requirements of a path coordinated by SDN, and iii) enable secure communication with the core cloud.
Objective 4: To introduce an extra, security dedicated, physical layer to the manufacturing of existing IoT platforms and de-vices so as to offer a secure-by-design architecture and monitoring capabilities for the sake of the network. To explore introduction of Blockchain as a security and privacy preserving layer for IoT. Along with improving the shortcomings of the existing efforts devoted to it.
Objective 5: To optimize the information security in IoT networks in a holistic, cross-layered manner (i.e. IoT platforms and devices, Honeypots, fog nodes, SDN routers and operator’s controller) that will be based both on dynamic and distributed processing of variable complexity by single network components (i.e. IoT platforms, devices and honeypots will perform lightweight processes while fog/cloud nodes and SDN routers will be shouldered with more heavy processes), as well as on a centrally located server/controller that will have the main control of the network and will collect, aggregate and appropriately fuse the transmitted data and produced metadata.
Objective 6: To utilize and develop the appropriate technologies, so as to implement an efficient and robust Decision Support System (DSS) on the controller’s side, where all data and metadata will be collected, for (i) the detection of potential threats and abnormalities, (ii) including a competent package of comprehensive and intuitive (visual) analytics (i.e. put the human in the loop for reasoning, hypothesis testing and interference in the decision making), and (iii) the generation of escalating mitigation strategies according to the severity of the detected threat.
Objective 7: To enhance the inter-connection of heterogeneous devices by speeding up the communication processes and by selecting the optimal routing path for the transmitted information in terms of both security and travelling time.
Objective 8: To introduce a methodology and to provide a tool-chain for automatic generation of design-driven security features monitors and validators for IoT platforms and networks based on IoT architecture and behaviour model specifications.
Objective 9: To validate the aforementioned actions in both large- and small-scale representative real-case scenarios involving heterogeneous IoT platforms & devices in an EU wide testbed covering thus, a wide variety of eminent domains.