CISSAN

Collective intelligence supported by security aware nodes

CISSAN will build methods and technology for integrating collective security intelligence to IoT networks. CISSAN-powered networks will be able to collaboratively identify tampered and adversarial devices, detect malicious activities, and select effective countermeasures. Higher IoT network resilience will be accompanied by resource efficiency through intelligent distribution of security functionalities across network nodes.

Table of contents

Project duration
-
Core fields of research
Information technology and the human in the knowledge society
Research areas
Cybersecurity
Information systems
Faculty
Faculty of Information Technology

Project description

The proliferation of Internet of Things (IoT) with its smart devices has fundamentally changed how different environments, such as homes, offices, factories, smart buildings, and smart grids, are used and operated. However, as stated in the , security is a major concern for IoT networks and environments, where the risks of physical device tampering, injection of malicious devices, and unpatched vulnerabilities are higher than in traditional networks. This is nicely captured in the : “If it’s smart, it’s vulnerable.” Following “when everything is connected, everything must be protected”, CISSAN proposes and implements algorithms for mitigating IoT security threats (good reviews of which can be found in and ) through collective decision-making and with a reduced impact on the limited resources of IoT devices. These algorithms are based on research and innovation in optimizing the distribution of security capabilities and aggregating the intelligence in IoT network nodes. Three industrial use cases, which nowadays heavily rely on the use of IoT, inform the project developments and are used for validating and demonstrating the project results: (i) public transportation; (ii) smart energy grids; (iii) mining and tunnelling operations.

Partner Organizations

Publications

Publication
2025
Available through Open Access

International Conference on Cyber Warfare and Security
Shelke, Palvi
Frantti, Tapio

Publication | 2024

Ammara, Dure Adan ; Ding, Jianguo ; Tutschku, Kurt

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Publication | 2023

Lecture Notes in Computer Science

Frantti, Tapio ; Safak, Ilgin

Public funding and Coordination

News

Driven by Data

Excerpt taken from:

The company is continuing to develop AI-based technologies to assess the quality of monitoring data through participation in the cybersecurity-focused EUREKA Celtic Next research project CISSAN. They are developing a "data quality and security verification system allowing the detection of suspicious data, a data signing system using security chips, and a blockchain-based data verification system using the blockchain to guarantee manipulation free monitoring data", said Chmelina. All three systems are currently under development with prototypes to be expected in early 2025 and incorporation into Geodata's cloud monitoring platform Geodatahub (formerly named Kronos) in early 2026.

Geodata_ GeomechanikKolloquiumConference_booth

Geodata is presenting their CISSAN work in their booth at the Geomechanik Kolloquium conference in Salzburg (Austria) on October 10 -11 2024  ().

This includes the technical efforts in WP4 on the data quality verification method and system and on sensor data integrity protection (using both data signing and blockchain-based techniques) and a plan for integrating these new capabilities to Geodata monitoring products.

Geodata_GeomechanikKolloquiumConference_slide