Strategic and analytics-driven inspection operations for critical infrastructure resilience

Resilience of infrastructure networks is a key requirement for a functioning modern society. These networks work continuously to enable the delivery of critical services such as water, natural gas, and transportation. However, recent natural disasters and cyber-physical security attacks have demonstrated that the lack of effective failure detection and identification capabilities is one of the main contributors of economic losses and safety risks faced by service utilities. This thesis focuses on both strategic and operational aspects of inspection processes for large-scale infrastructure networks, with the goal of improving their resilience to reliability and security failures. We address three combinatorial problems: (i) Strategic inspection for detecting adversarial failures; (ii) Strategic interdiction of malicious network flows; (iii) Analytics-driven inspection for localizing post-disaster failures.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Civil and Environmental Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Dahan, Mathieu.

Advisor dc:contributor.advisor

• Saurabh Amin.

• Civil and Environmental Engineering.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/123226

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/123226