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HE Unit Template
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Data Analytics for Cyber Threat Intelligence
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ITECH7614 - Data Analytics for Cyber Threat Intelligence
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20240200
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Course
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1.3
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2026-09-10
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2026-09-10
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Information Technology
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Institute of Innovation, Science & Sustainability
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Information Technology
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Postgraduate - Coursework
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15
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.125
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019903
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Forensic Science
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019903 - Forensic Science
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<a href="http://www.federation.edu.au/locate/unit/itech7614">View unit fees</a>
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Graded (e.g. HD, D, C, etc)
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<p>Security operations today involve massive cyberspace data, which includes not only networking data such as TCP/IP packet, system logs, URLs, HTML scripts, and Darknet traffic, but also data from e-commerce, m-commerce, e-mail and social media data such as facebook, Linkedin and Twitter data. This unit focuses on structured analysis in order to amplify existing cyber threat analytics skills with machine learning, natural language processing, data mining, and other artificial intelligence techniques.</p>
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<p>Harvest multiple source cyber space data<br>
Filter system logs and detect compromise using key Windows events<br>
Identify internal pivoting activity using system logs<br>
Apply long tail analysis to identify abnormal program usage<br>
Automatic threat Intelligence extraction from unstructured sources<br>
Phishing Identification in social media and other platforms<br>
Vulnerability exploit prediction<br>
Cyber event forecasting by discovering signals from web<br>
Automatic identification of indicators of compromise<br>
Characterizing activity on the dark web<br>
Incident response facilitation using automatic text processing</p>
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Semester
Semester
0200
Year
Year
2027
Current Year
2026
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ITECH7614 - Data Analytics for Cyber Threat Intelligence
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ITECH7614 - Data Analytics for Cyber Threat Intelligence
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Semester
Semester 1
Semester 2
Summer Semester
Year
2027
2026
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Overview
Key information
Requisites
Learning outcomes
Assessment
Parent Region
Overview
Unit description
<p>Security operations today involve massive cyberspace data, which includes not only networking data such as TCP/IP packet, system logs, URLs, HTML scripts, and Darknet traffic, but also data from e-commerce, m-commerce, e-mail and social media data such as facebook, Linkedin and Twitter data. This unit focuses on structured analysis in order to amplify existing cyber threat analytics skills with machine learning, natural language processing, data mining, and other artificial intelligence techniques.</p>
Unit content
<p>Harvest multiple source cyber space data<br> Filter system logs and detect compromise using key Windows events<br> Identify internal pivoting activity using system logs<br> Apply long tail analysis to identify abnormal program usage<br> Automatic threat Intelligence extraction from unstructured sources<br> Phishing Identification in social media and other platforms<br> Vulnerability exploit prediction<br> Cyber event forecasting by discovering signals from web<br> Automatic identification of indicators of compromise<br> Characterizing activity on the dark web<br> Incident response facilitation using automatic text processing</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Information Technology
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
019903 - Forensic Science
Offering:
<p><strong>Semester 1</strong><p>Ballarat - Mt Helen (On Campus)</p><p>Melbourne City Campus (On Campus)</p><p>On-line Learning</p></p> <p><strong>Semester 2</strong><p>Ballarat - Mt Helen (On Campus)</p><p>Berwick (On Campus)</p><p>On-line Learning</p></p>
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/itech7614">View unit fees</a>
Requisites
Prerequisite
<p>must have completed <a href="/ords/r/curriculum/catalogue/course?p6_code=ITECH5104" target="_blank">ITECH5104</a> OR must have completed <a href="/ords/r/curriculum/catalogue/course?p6_code=ITECH7611" target="_blank">ITECH7611</a></p>
Corequisite
None
Exclusion
None
Learning outcomes
Learning outcomes
<p>On successful completion of this unit, students are expected to gain the following [K]nowledge, [S]kills and [A]pplication of knowledge & skills</p>
Learning Outcomes
Ref
Outcome
K1
<p>Articulate the importance and privacy and ethical implications of cyber data analytics for threat detection, incident response and prevention.</p>
K2
<p>Investigate information from domains, external datasets, transport layer security/secure sockets layer certificates.</p>
K3
<p>Discuss the implementation of cyber space intelligence through clustering, classification, prediction and association rule mining.</p>
K4
<p>Explore the usages of open-source and proprietary tools for computational cyber space data analytics.</p>
K5
<p>Evaluate computational data analytic skills in tactical and operational level of threat detection intelligence.</p>
S1
<p>Identify and create intelligence requirements through practices such as threat modeling.</p>
S2
<p>Discover the different sources in cyber space to integrate adversary data for incident analytics.</p>
S3
<p>Develop threat intelligence to detect, forecast, and respond to targeted attacker or victim.</p>
S4
<p>Generate association rules to help with incident response and security operations.</p>
S5
<p>Apply system logs filtering to identify abnormal usage of system resources.</p>
A1
<p>Apply initiative and judgment to adapt algorithms to diverse contexts of cyber risks.</p>
A2
<p>Research and interpret appropriate solution developments for cyber security.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>Participate in lectures and labs/tutorials, read and summarise theoretical and practical aspects of the unit.</p>
<p>Assignment(s)</p>
<p>20% - 30%</p>
K1, K2, K3, K4, K5, S1, S2, S3, S4, S5, A1, A2
2
<p>Develop skills in the analysis and practical application of content introduced.</p>
<p>Project and Presentation(s)</p>
<p>30% - 50%</p>
K1, K2, K3, K4, K5, S1, S2, S3, S4, S5, A1, A2
3
<p>Study course material, read and summarise theoretical aspects of the unit</p>
<p>Test/Examination(s)</p>
<p>30% - 40%</p>
K1, K2, K3, K4, K5, S1, S2, S3, S4, S5, A1, A2
Supplementary assessment available:
No
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Information Technology
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
019903 - Forensic Science
Offering:
<p><strong>Semester 1</strong><p>Ballarat - Mt Helen (On Campus)</p><p>Melbourne City Campus (On Campus)</p><p>On-line Learning</p></p> <p><strong>Semester 2</strong><p>Ballarat - Mt Helen (On Campus)</p><p>Berwick (On Campus)</p><p>On-line Learning</p></p>
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/itech7614">View unit fees</a>
Additional information
Add Info Static Text
Internal reference: ITECH7614 - U1.3