Grant: Engage Plus Grants Program
Concordia University
$12,500.00
A unified approach to modeling network assets and vulnerabilities for automated security analysis
FY 2014-15
Summary
Computer networks are playing the role of nerve systems in many critical infrastructures, governmental andmilitary organizations, and enterprises today. Existing technologies in network and host-based intrusiondetection systems (IDSs) and vulnerability analysis are all useful but may be insufficient by themselves. Themain objective of the proposed project is to further our previous ENGAGE project towards the ultimate goal ofhaving a comprehensive solution for correlating information obtained from different sources, including IDSsand vulnerability scanners, to defend enterprise networks. Above Security Inc. has been providing managedsecurity monitoring and strategic consulting services to more than 250 private and government organizations in22 countries for over a decade. A new project coded Cerberus has been recently launched to introduce thesemantic alert correlation and asset management functionalities. This proposed research will continue ourprevious effort on asset management. Specifically, we will conduct passive asset detection from network trafficand correlate network IDS alerts to logging information on the target host, which have both been identified asthe two tasks with the highest priority in the ongoing Cerberus project. This project will have immediatetechnological and economical benefits to Canada since it will produce a whole set of deliverables that can leadto better network security products and services and improve Canada's cyber security.
Program
Engage Plus Grants Program
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
461865-2014
Name nom
Wang, Lingyu
Department département
Concordia Institute for Information Systems Engineering (CIISE)
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2014
Award amount
12500
Program id
EGP2
Program name en
Engage Plus Grants Program
Program name fr
Programme de subvention d'engagement partenarial Plus
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1552
Committee name en
Quebec Internal Decision Committee
Committee name fr
Comité de décision interne pour le Québec
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
Partie
1
Nb partie
1
Application title
A unified approach to modeling network assets and vulnerabilities for automated security analysis
Keyword
NSERC
Application summary
Computer networks are playing the role of nerve systems in many critical infrastructures, governmental andmilitary organizations, and enterprises today. Existing technologies in network and host-based intrusiondetection systems (IDSs) and vulnerability analysis are all useful but may be insufficient by themselves. Themain objective of the proposed project is to further our previous ENGAGE project towards the ultimate goal ofhaving a comprehensive solution for correlating information obtained from different sources, including IDSsand vulnerability scanners, to defend enterprise networks. Above Security Inc. has been providing managedsecurity monitoring and strategic consulting services to more than 250 private and government organizations in22 countries for over a decade. A new project coded Cerberus has been recently launched to introduce thesemantic alert correlation and asset management functionalities. This proposed research will continue ourprevious effort on asset management. Specifically, we will conduct passive asset detection from network trafficand correlate network IDS alerts to logging information on the target host, which have both been identified asthe two tasks with the highest priority in the ongoing Cerberus project. This project will have immediatetechnological and economical benefits to Canada since it will produce a whole set of deliverables that can leadto better network security products and services and improve Canada's cyber security.