Mobile Networks and Security

Unit code: NIT6007 | Study level: Postgraduate
Credit points
12
(Generally, 1 credit = 10 hours of classes and independent study.)
Location
City Campus
Online Real Time
VU Brisbane
VU Sydney
Prerequisites
NIT5110 - Networking Systems; and
NIT5081 - Fundamentals of Cyber Security
(Or equivalent to be determined by unit coordinator)
Overview
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Overview

This unit explores advanced mobile network architectures, security challenges, and AI-driven cybersecurity measures for mobile communications. Students will analyse mobile network evolution (3G, 4G, 5G, and 6G), critically assess cybersecurity threats, and design security frameworks incorporating AI-driven risk detection. The unit also includes practical applications in mobile network security, network forensics, and AI-assisted defense strategies.

Learning Outcomes

On successful completion of this unit, students will be able to:

  1. Critically evaluate the evolution of mobile networks from 3G to 6G, identifying technical advancements, security vulnerabilities, and emerging challenges;
  2. Analyse and assess cybersecurity risks in mobile environments, including endpoint security, phishing threats, SIM swapping, and insecure networks, applying AI-driven defense mechanisms;
  3. Formulate AI-enhanced methodologies for mobile network security, traffic monitoring, and malware detection, integrating ethical considerations and policy frameworks;
  4. Design and implement a secure mobile communication architecture, incorporating AI-assisted network optimisation, security automation, and anomaly detection; and,
  5. Synthesise and communicate research findings on mobile security frameworks and risk mitigation strategies to both technical and non-technical audiences.

Assessment

For Melbourne campuses

Assessment type: Laboratory Work
|
Grade: 20%
Lab Test 1 (Fundamentals of Mobile Networks & AI-Driven Security Analysis) and Lab Test 2 (Mobile Security Threats & AI-Based Intrusion Detection)
Assessment type: Assignment
|
Grade: 40%
Assignment 1 (Network Performance Analysis) and Assignment 2 (Mobile Security Simulation & AI-driven Risk Detection)
Assessment type: Case Study
|
Grade: 40%
Mobile Network Vulnerabilities & Defense Strategies OR AI & Automation in Mobile Security – Industry Applications (Group)

Required reading

Selected readings will be made available via VU Collaborate.

As part of a course

This unit is studied as part of the following course(s):

Master of Applied Information Technology
NMIT | Masters (coursework) degree | Duration: 2 years

Refer to the course page for information on how to apply for the course. VU takes care to ensure the accuracy of this unit information, but reserves the right to change or withdraw courses offered at any time. Please check that unit information is current with the Student Contact Centre.

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