SIT384 - Data Analytics for Cyber Security
|Year||2018 unit information|
|Enrolment modes:||Trimester 1: Burwood (Melbourne), Waurn Ponds (Geelong), Cloud (online)|
Campus: 2 x 1 hour classes per week, 1 x 2 hour practical per week.
Cloud (online): 1 x 1 hour scheduled online workshop per week.
In SIT384 students will learn about the various methodologies used to compromise corporate host and network security as well as techniques to harden corporate computer and network defenses. You will be introduced to the techniques required for data analytics in the context of cyber security including evaluating, classifying, and testing the levels of security in a corporate network by considering the effectiveness of existing security countermeasures and proposing approaches and methods for incident response. Applying appropriate security and penetration testing techniques to obtain results of testing will be a key practical element of this unit.
Group planning report 30%, testing report 20%, examination 50%
Conway, 2012, Machine Learning For Hackers, 1st Ed, O'Reilly
Unit Fee Information
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