Grant: Discovery Grants Program - Individual
Concordia University
$52,000.00
Securing Cloud/Edge Virtual Infrastructures without Disrupting Service Continuity
EF 2024-25
Résumé
The lockdown and remote working during the pandemic have significantly hastened the worldwide adoption of cloud/edge-based services. On the other hand, the recent nationwide disruption to one of the major telecommunication networks in Canada has clearly demonstrated the severe consequence of interruptions to such services. As our societies become increasingly dependent on cloud/edge-based services, the virtual infrastructures underpinning them will unavoidably become a highly attractive target of cyberattacks. Recent technological trends in virtual infrastructures may further exacerbate the situation as they typically focus more on costs, efficiency, and deployability rather than security. In such a context, the proposed research program aims to address emerging security challenges in virtual infrastructures by developing novel solutions for modeling, auditing, detecting, and mitigating security breaches or attacks. The main methodology is to explore the many unique characteristics of virtual infrastructures for security purposes, through an interdisciplinary approach of combining various techniques including formal verification, machine learning, threat modeling, security metrics, attack detection and mitigation, etc. In particular, the proposed research will follow four main themes: 1) Develop novel security modeling techniques to transform the typically binary, qualitative results of existing security mechanisms such as security auditing and event detection into security models and metrics that can reflect the overall security posture of virtual infrastructures; 2) Develop efficient runtime security auditing techniques to improve the security situational awareness by combining the rigor of formal security verification techniques and the efficiency of machine learning techniques; 3) Develop federated attack detection and provenance techniques for core/edge virtual infrastructures where sensitive data needed for the detection or provenance cannot be sent directly across organizational boundaries; 4) Develop proactive attack mitigation techniques to turn security breaches or attacks reported by auditing or detection solutions into defence actions that are launched early but in a non-disruptive manner in order to ensure service continuity. The potential outcome of the proposed research will bring technological and economic benefits to Canada as it could ease the concerns of Canadian companies and governmental agencies over potential service disruptions caused by security attacks on virtual infrastructures.
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-2023-05659
Name nom
Wang, Lingyu
Department département
CIISE/ENCS
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
2023
Award amount
52000
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
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
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
Securing Cloud/Edge Virtual Infrastructures without Disrupting Service Continuity
Keywords
cloud security; edge security; container security; cloud/edge computing; intrusion prevention; attack detection; attack mitigation; security metrics; threat modeling; security auditing
Application summary
The lockdown and remote working during the pandemic have significantly hastened the worldwide adoption of cloud/edge-based services. On the other hand, the recent nationwide disruption to one of the major telecommunication networks in Canada has clearly demonstrated the severe consequence of interruptions to such services. As our societies become increasingly dependent on cloud/edge-based services, the virtual infrastructures underpinning them will unavoidably become a highly attractive target of cyberattacks. Recent technological trends in virtual infrastructures may further exacerbate the situation as they typically focus more on costs, efficiency, and deployability rather than security. In such a context, the proposed research program aims to address emerging security challenges in virtual infrastructures by developing novel solutions for modeling, auditing, detecting, and mitigating security breaches or attacks. The main methodology is to explore the many unique characteristics of virtual infrastructures for security purposes, through an interdisciplinary approach of combining various techniques including formal verification, machine learning, threat modeling, security metrics, attack detection and mitigation, etc. In particular, the proposed research will follow four main themes: 1) Develop novel security modeling techniques to transform the typically binary, qualitative results of existing security mechanisms such as security auditing and event detection into security models and metrics that can reflect the overall security posture of virtual infrastructures; 2) Develop efficient runtime security auditing techniques to improve the security situational awareness by combining the rigor of formal security verification techniques and the efficiency of machine learning techniques; 3) Develop federated attack detection and provenance techniques for core/edge virtual infrastructures where sensitive data needed for the detection or provenance cannot be sent directly across organizational boundaries; 4) Develop proactive attack mitigation techniques to turn security breaches or attacks reported by auditing or detection solutions into defence actions that are launched early but in a non-disruptive manner in order to ensure service continuity. The potential outcome of the proposed research will bring technological and economic benefits to Canada as it could ease the concerns of Canadian companies and governmental agencies over potential service disruptions caused by security attacks on virtual infrastructures.