Strong Asset Discovery on Naval Vessels using Machine Learning

Lockheed Martin Canada is undertaking the creation of a network detection solution for maritime platforms that addresses the specific security issues in the naval environment. The solution is a combination of multiple technologies utilizing different active and passive techniques to enhance the detection process. Lockheed Martin Canada has created a preliminary prototype design and is exploring the possibilities of artificial intelligence (AI) to enhance it. The objective of this project is to develop a robust asset detection system on naval vessels through the use of machine learning (ML), with the aim of increasing cybersecurity robustness and tightening security on these vessels. By incorporating the capabilities of AI, the solution aims to offer a comprehensive solution to address the challenges of the naval domain and enhance the network detection process.

Faculty Supervisor:

Moulay Akhloufi

Student:

Partner:

Lockheed Martin Canada

Discipline:

Computer science

Sector:

Manufacturing

University:

Université de Moncton

Program: