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Grant: Discovery Grants Program - Individual

Concordia University

$48,000.00

Practical, Efficient and Scalable Modeling, Verification and Validation of Safety-Critical Cyber-Physical Systems

EF 2024-25

Résumé
A typical Cyber-Physical System (CPS) comprehends physical devices monitored by sensors and controlled by actuators. These sensors and actuators may be interconnected via a network to a variety of different computational resources. These systems require a careful and tight integration of computing, communication, and control technologies to achieve stringent performance, stability, reliability, efficiency and robustness in both the physical systems as well as the cyber modules that are envisaged in many application domains. CPSs have been successfully employed and considered in almost every aspect of our daily lives, ranging from medical devices, smart cities, mobile devices, Industry 4.0, intelligent transportation, smart grid and energy systems. However, many CPSs are safety critical in nature and must be certified and ensured to be highly dependable even under unknown and hostile environments. The precision of computing must interface with the uncertainty and noise of the physical world. This requires powerful methods of failure detection, diagnosis, and recovery to ensure a reliable and correct system operation. Our goal in this research program is to develop a verification framework flow to formally, compositionally and efficiently reason about their reliability, safety and security. We will leverage hybrid system models, e.g. dynamic differential logic to modularly reason about the deterministic subsystems of the CPS with capabilities to model probabilities as uncertainties. We will develop scalable and sound exploration methods to analyze CPSs at higher level of abstraction. Our ultimate goal is to develop a holistic yet compositional approach for verification and validation of CPS and enable strong theoretical guarantees regarding the safety and security of CPSs. Several use cases will be investigated and performed to validate our proposed methodologies.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2020-06751
Name nom
Ait Mohamed, Otmane
Department département
ECE
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2020
Award amount
48000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Practical, Efficient and Scalable Modeling, Verification and Validation of Safety-Critical Cyber-Physical Systems
Keywords
cpss; hybrid systems; reliability analysis; safety; verification and validation; real time systems; dependability analysis
Application summary
A typical Cyber-Physical System (CPS) comprehends physical devices monitored by sensors and controlled by actuators. These sensors and actuators may be interconnected via a network to a variety of different computational resources. These systems require a careful and tight integration of computing, communication, and control technologies to achieve stringent performance, stability, reliability, efficiency and robustness in both the physical systems as well as the cyber modules that are envisaged in many application domains. CPSs have been successfully employed and considered in almost every aspect of our daily lives, ranging from medical devices, smart cities, mobile devices, Industry 4.0, intelligent transportation, smart grid and energy systems. However, many CPSs are safety critical in nature and must be certified and ensured to be highly dependable even under unknown and hostile environments. The precision of computing must interface with the uncertainty and noise of the physical world. This requires powerful methods of failure detection, diagnosis, and recovery to ensure a reliable and correct system operation. Our goal in this research program is to develop a verification framework flow to formally, compositionally and efficiently reason about their reliability, safety and security. We will leverage hybrid system models, e.g. dynamic differential logic to modularly reason about the deterministic subsystems of the CPS with capabilities to model probabilities as uncertainties. We will develop scalable and sound exploration methods to analyze CPSs at higher level of abstraction. Our ultimate goal is to develop a holistic yet compositional approach for verification and validation of CPS and enable strong theoretical guarantees regarding the safety and security of CPSs. Several use cases will be investigated and performed to validate our proposed methodologies.
Concordia University - $48,000 Grant (2024-25) | Canada Spends