Record #204948 - GSI Repository

GHOST

Safe-Guarding Home IoT Environments with Personalised Real-time Risk Control

Coordinator	OBRELA SECURITY INDUSTRIES - YPIRESEIES ASFALEIAS PLIROFORION ANONYMOS ETAIREIA ; KALOS INFORMATION SYSTEMS AS ; CRUZ ROJA ESPANOLA ; Karlsruher Institut für Technologie ; ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS ; EXUS SOFTWARE LTD ; Imperial College of Science Technology and Medicine ; TELEVES SA ; Technical University of Darmstadt ; University of Geneva ; Norwegian University of Science and Technology
Grant period	2017-05-01 - 2020-04-30
Funding body	European Union
Call number	H2020-DS-SC7-2016
Grant number	740923
Identifier	G:(EU-Grant)740923

Note: To effectively respond to the multitude & complexity of cybersecurity challenges in smart-homes GHOST deploys a pioneering software-enabled ‘usable security’ solution. The project brings professional level security to the European citizens and to this end it: (a) increases the automation level & effectiveness of existing security services; (b) opens up the cybersecurity ‘blackbox’ to consumers, creates understanding and builds trust through effortless decision support & advanced ‘usable transparency’; (c) enhances the system’s self-defence by safeguarding critical security-related data using blockchain technology. GHOST software will be embedded in an adequately adapted smart-home network gateway though it will be designed to be vendor-independent. A dedicated middleware layer ensures interoperability with multiple gateways & IoT devices. GHOST considers the relationship between security and usability to be an integration challenge (positive sum game) and definitely not a trade-off (zero-sum game). In this context, the project envisions to lead a paradigm shift in consumer cybersecurity by successfully coupling usable security with transparency and behavioural engineering. The envisaged user experience will systematically trigger security-friendly behaviour aiming at establishing appropriate ‘habitual behaviours’. The solution will perform network analysis & deep packet inspection for suspicious pattern recognition, will apply machine learning for malicious behaviour detection, will carry out context-aware real-time risk assessment, and widely apply analytics & visualization for effortless user comprehension & decision support. In short, GHOST will (i) increase cybersecurity resilience; (ii) boost usability & automation; and (iii) enhance the competitiveness of European ICT security industry. GHOST will be demonstrated in more than 140 real smart-homes in Spain, Norway & Romania via the Red Cross network and beta testers from the customer basis of Televes & ThingsMaze.

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Record created 2017-06-14, last modified 2023-02-08

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