Project description
A smart, automated, accurate and secure anomaly detection module
By 2025, the number of connected devices could reach almost 75 billion globally. The huge amount of data generated will require highly efficient and secure management of these devices (cameras, sensors, thermostats, routers, etc). The EU-funded SmartAD project will support the development of a unique embedded Linux automation, provisioning and security tool. As an SME innovation associate programme project, it will assist Norwegian QBee (qbee.io platform) in the development of an innovative module, namely an automated smart, accurate and secure anomaly detection module. The recruitment of an innovation associate will help to lift QBee to the next innovation stage, where forefront artificial intelligence/machine learning and data analytics skills are demanded.
Objective
IoT has taken the world by storm and in 2025 there will be ~75Bn connected devices, creating an amount of data never generated before. This comes with a new set of challenges, which need to be addressed with regards to IoT device management, especially in industrial settings. Currently, there are limited tools for embedded Linux IoT device management (e.g. cameras, sensors, thermostats, routers, etc), which are not able to effectively manage the devices and keep the IoT infrastructure secure.
QBee offers the qbee.io platform, a unique embedded Linux automation, provisioning and security tool enabling a highly efficient IoT device management with high security focus for the overall IoT infrastructure. With the SmartAD project, QBee targets the development of an innovative module to the platform, namely an automated smart, accurate and secure anomaly detection module, which was identified as top priority to disrupt the IoT devices management tools. Intelligent algorithms can be used for detection of malfunctioning/suspicious behavior using advanced anomaly detection, fingerprinting and the awareness of configuration changes that the device should adhere to. To achieve this, time series data as well as file and configuration changes needs to be analyzed.
Although, QBee has a strong team in the area of full-stack development, system administration, embedded devices (Linux), automation and cloud software scaling, which allowed to bring the product to a beta-version, it is also very small, and currently QBee does not have in-house skills for the next innovation stage, where forefront Artificial Intelligence/Machine Learning and data analytics skills are demanded. The SME Innovation Associate Programme fits the QBee plan on boosting R&D activities and the recruitment of an Innovation Associate will be critical to develop this module which will make qbee.io platform unique in terms of detection & prevention of cyberattacks on industrial IoT infrastructures.
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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences internet internet of things
- natural sciences computer and information sciences software
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- social sciences sociology industrial relations automation
- natural sciences computer and information sciences artificial intelligence machine learning
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.2.3.2.2. - Enhancing the innovation capacity of SMEs
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
CSA-LSP - Coordination and support action Lump sum
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-INNOSUP-2018-2020
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1414 TROLLASEN
Norway
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.