View Proposal

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Proposer

Mike Just

Title

Machine learning for cyber security (MEng masterclass)

Goal

To deliver a lecture, and possibly a tutorial/lab, on how machine learning is used for cyber security

Description

There are many situations today in which cyber security decisions are made using machine learning. Most commonly it has been used for detecting anomalies, such as intrusion detection (of network traffic) and malware detection (of software), though there are other areas as well (see Section 4 of https://www.cybok.org/media/downloads/AI_for_Security_TG_v1.0.0.pdf). This is a proposal for a MEng masterclass, output of which would involve the delivery of a lecture, and possibly tutorial or lab, on how machine learning is used for cyber security, with a focus on one security application area.

Resources

A big picture view of how AI/ML can be used in different cyber security applications (see Section 4): https://www.cybok.org/media/downloads/AI_for_Security_TG_v1.0.0.pdf

Background

The student should have some experience with AI / machine learning and have an interest in cyber security.

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

1

Supervisor

Mike Just

Keywords

machine learning, cyber security, anomaly detection

Degrees

Master of Engineering in Software Engineering