CYBER ALGORITHMS
CYB5CYA
2020
Credit points: 15
Subject outline
This subject introduces algorithmic thinking in cybersecurity. Cyber algorithms and models are required to design and implement secure systems that support Confidentiality, Integrity and Availability (CIA security triad) in a range of use cases. You will discuss how to analyse, evaluate and design new algorithms in cybersecurity using a visual modelling language. Real-world case studies from intelligence analysis, fraud, data safeguarding and secure communication will be used to illustrate how cyber algorithms and models can be applied to solve problems. This subject does not require prior knowledge of computer programming.
School: Engineering and Mathematical Sciences (Pre 2022)
Credit points: 15
Subject Co-ordinator: Kayes Kayes
Available to Study Abroad/Exchange Students: No
Subject year level: Year Level 5 - Masters
Available as Elective: No
Learning Activities: N/A
Capstone subject: No
Subject particulars
Subject rules
Prerequisites: Must be admitted into SMCYC or SMCYL or SMCYB or must obtain subject coordinator's approval
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Quota Management Strategy: N/A
Quota-conditions or rules: N/A
Special conditions: N/A
Minimum credit point requirement: N/A
Assumed knowledge: N/A
Learning resources
Nine Algorithms That Changed The Future
Resource Type: Book
Resource Requirement: Prescribed
Author: MacCormick, J.
Year: 2013
Edition/Volume: N/A
Publisher: Princeton University Press
ISBN: N/A
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
Career Ready
Career-focused: No
Work-based learning: No
Self sourced or Uni sourced: N/A
Entire subject or partial subject: N/A
Total hours/days required: N/A
Location of WBL activity (region): N/A
WBL addtional requirements: N/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Melbourne (Bundoora), 2020, Semester 1, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Subject Instance Co-ordinator: Kayes Kayes
Class requirements
Computer LaboratoryWeek: 10 - 22
One 2.00 hours computer laboratory per week on any day including weekend during the day from week 10 to week 22 and delivered via face-to-face.
LectureWeek: 10 - 22
One 2.00 hours lecture per week on any day including weekend during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
Written Assignment 1 (equivalent to 1000 words)Define a set of algorithmic requirements for a government medical records system | N/A | N/A | No | 20 | SILO1, SILO2 |
Written Assignment 2 (equivalent to 1000 words)Create a set of ordered steps to protect patient files in a government medical records system | N/A | N/A | No | 20 | SILO3, SILO4 |
3 hour Exam (3000 words equivalent)Predict the performance and accuracy of a proposed government medical records system | N/A | N/A | No | 60 | SILO1, SILO2, SILO3, SILO4, SILO5, SILO6 |