Collective intelligence supported by security aware nodes

Project CISSAN
Project Key Information

Project Status: running

Start Date: May 2023

End Date: May 2026

Budget (total): 8985.23 K€

Effort:  80.91 PY

Project-ID: C2022/1-3

Project Coordinator

Name: Taio Frantti

Company: University of Jyväskylä

Country: Finland


Project Consortium

University of Jyväskylä, Finland
Geodata Ziviltechnikergesellschaft mbH, Austria
Mattersoft Ltd., Finland
Mint Security Ltd., Finland
Netox, Finland
ScopeSensor Ltd., Finland
Cibernos, Spain
Councilbox, Spain
AddSecure Smart Grids, Sweden
Affärsverken Karlskrona, Sweden
Arctoslabs AB, Sweden
Clavister AB, Sweden
Blekinge Tekniska Högskolan, Sweden
Blue Science Park, Sweden
Savantic, Sweden
Techinova AB, Sweden
Bittium Wireless Ltd., Finland
Bittium Biosignals Ltd., Finland
Nodeon Finland Oy, Finland
Wirepas Oy, Finland


Proliferation of Internet of Things (IoT) has fundamentally changed how different application environments, like homes, offices, infrastructure, smart buildings, or smart grids, are being used and operated. There is also a growing security need to support IoT systems. One of the main concerns is the impact that the different threats may have since attacks on IoT deployments could dramatically jeopardies IoT systems, people security, privacy and safety, while additionally IoT in itself can be used as an attack vector.

Widespread IoT networks are prone to similar malicious actions than other networks and devices, but physical tampering, injection and capturing of the nodes may be more probable in IoT networks than in other networks. Conventional security practices in IoT require substantial re-engineering due to technical constraints. Engineered-in security work is emphasized because the particularity of the Application Protocol Interfaces (APIs) available to users do not allow traditional security update mechanisms.

In this project, the aim is to build collective intelligence to the IoT network by the smart network nodes to enable a rich, diverse and wide ecosystem involving aspects such as devices, communications, interfaces, and people. Intelligent IoT networks should, e.g., notice tampered and injected devices, and they should recognize movements and capturing of their nodes. In addition, the IoT network should prevent its’ use as an attack surface.

Here, we distribute various intelligent security related functionalities to different network nodes. This means that each node has one or more cyber security functionalities. Nodes interact, as they normally do, with signaling and data traffic but also with AI traffic, to transfer security information to each node. The aim is to avoid that all the nodes need to have all the cyber security functionalities, but the network as a whole has the functionalities. The network has awareness = collective intelligence, and it distributes that to the nodes by AI signaling developed in the project. The result is a CISSAN IoT platform that enables secure IoT applications and solutions development, testing and validation. The platform will be validated in joint use cases from public transport, bank IoT network monitoring, smart grid IoT, push-to-talk communication services, and a use case that verifies security solution not covered by other use cases.

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