Project description
Protecting industry from cyber attacks
As digitisation becomes a business priority for many organisations in Europe and around the world, the industrial Internet of Things (IIoT) will generate huge opportunities for key industries like manufacturing, oil and gas, agriculture, mining and transportation. IIoT is bringing machines, analytics, and people to form a network of industrial devices connected by communications technologies. Machine-to-machine communication, however, increases the risk of cyberattacks. This is why the EU-funded C4IIoT project will build and demonstrate a novel and unified IIoT cybersecurity framework for malicious and anomalous behaviour anticipation, detection, mitigation, and end-user informing. It will be a holistic and disruptive security-enabling solution to minimise attack surfaces in IIoT systems. The C4IIoT framework will be tested in real settings.
Objective
Recent trends in industrial technology and the adaptation of Industrial Internet of Things (ΙIοΤ), has emerged by the convergence of Operations Technology (i.e. traditional hardware and software systems) and Information Technology (i.e. advanced computing, data aggregation/analysis, and ubiquitous communication systems). IIoT has great potential to enable significant advances in optimizing operations among large number of increasingly autonomous control systems and devices, and can have a profound impact on many industry domains, where smart factories and logistics are among most notable cases. However, a major barrier towards IIoT adoption lies in cybersecurity issues that makes it extremely difficult to harness its full potential: IIoT systems dramatically increase the attack surface (introducing new security threats due to newly connected devices and protocols, making them more vulnerable to interference), the disruption of process controls, the theft of intellectual property, the loss of corporate data, and the industrial espionage. C4IIoT will build and demonstrate a novel and unified IIoT cybersecurity framework for malicious and anomalous behavior anticipation, detection, mitigation, and end-user informing. The framework provides a holistic and disruptive security-enabling solution for minimizing attack surfaces in IIoT systems, by exploiting i) emerging security software and hardware protection mechanisms; ii) state of the art machine and deep learning and privacy-aware analytics; iii) novel encrypted network flow analysis; iv) secure-by-design IIoT device fabrication; and v) blockchain technologies, to provide a viable scheme for enabling security and accountability, preserving privacy, enabling reliability and assuring trustworthiness within IIoT applications. The C4IIoT framework will be demonstrated and validated on two carefully selected use cases in real world environments, namely Enabling security IIoT in i) Inbound Logistics and ii) a Smart Factory
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- natural sciencescomputer and information sciencesinternet
- natural sciencescomputer and information sciencessoftwaresoftware applicationssystem software
- natural sciencescomputer and information sciencescomputer securitycryptography
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
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Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
70013 Irakleio
Greece