IoT ESP projects
The aim of this cluster is to share experiences on approaches and tools for risk assessment and threat analysis in IoT domain from cluster’s project members perspective and based on that contribute to standards, offering a joint position of the group of IoT security related and practical oriented projects, co-founded by EU.
As such, IoT ESP consists of a portfolio of eight existing projects, to ensure good facilitation and interaction between the cluster and the NGIoT action.
Here, you can find the IoT ESP projects.
CHARIOT will advance state of the art by providing a design method and cognitive computing platform supporting a unified approach towards Privacy, Security and Safety (PSS) of IoT Systems, that places devices and hardware at the root of trust, in turn contributing to high security and integrity of industrial IoT.
BRAIN-IoT looks at heterogeneous IoT scenarios where instances of IoT architectures can be built dynamically combining and federating a distributed set of IoT services, IoT platforms and other enabling functionalities made available in marketplaces and accessible by means of open and standard IoT APIs and protocols.
The main technical objective of ENACT is to develop novel IoT platform enablers to: (1) Enable DevOps in the realm of trustworthy smart IoT systems, and enrich it with novel concepts for end-to-end security and privacy, resilience and robustness strengthening trustworthiness, taking into account the challenges related to “collaborative” actuation and actuation conflicts; (2) Facilitate the smooth integration of these to leverage DevOps for existing and new IoT platforms and approaches (e.g., FIWARE, SOFIA, and TelluCloud).
IoTCrawler is a three-year long research project focusing on developing a “Google” for Internet of Things (IoT) devices. It aims at a paradigm change on both how IoT application can access IoT resources and on how IoT resources can make themselves discoverable.
SecureIoT project focuses on delivering predictive IoT security services, which span multiple IoT platforms and networks of smart objects and are based on security building blocks at both the edge and the core of IoT systems.
SEMIoTICS main scope aims to develop a pattern-driven framework, built upon existing IoT platforms, to enable and guarantee secure and dependable actuation and semi-autonomic behaviour in IoT/IIoT applications.
SerIoT aims to provide a useful open & reference framework for real-time monitoring of the traffic exchanged through heterogeneous IoT platforms within the IoT network in order to recognize suspicious patterns, to evaluate them and finally to decide on the detection of a security leak, privacy threat and abnormal event detection, while offering parallel mitigation actions that are seamlessly exploited in the background.