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Special Topic
SPECIAL TOPIC: COSC471 CYBERSECURITY ANALYTICS Description:Nowadays, cyber threats are becoming increasingly sophisticated and persistent, and organisations are facing challenges in protecting themselves against a broad range of cyberattacks. Cybersecurity analytics is a proactive approach that uses data collection and analysis capabilities to detect, analyse, and mitigate cyber threats. This course introduces machine learning technologies and common approaches for data analytics in cybersecurity. It covers key topics including fundamental data analysis tools and techniques and how they are employed from a cybersecurity perspective to identify and analyse sources of cyber threats. Students will get hands-on experiences to work through tools and techniques via case studies, featuring both insider threats and external attacks.Prerequisites:COSC362 or subject to approval by the Head of Department
1. Explain key concepts in threat intelligence and sources of cyber threat data 2. Identify and apply fundamental data analytics techniques and tools in a cybersecurity context 3. Apply machine learning models to investigate real-world datasets for threat detection and evaluate the model performance 4. Develop the ability to compare and criticise cybersecurity analytics solutions 5. Discuss issues around data analytics in cybersecurity
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
Approval by the Head of Department
Students must attend one activity from each section.
Mengmeng Ge
The Computer Science department's grading policy states that in order to pass a course you must meet two requirements:1. You must achieve an average grade of at least 50% over all assessment items.2. You must achieve an average mark of at least 45% on invigilated assessment items.If you satisfy both these criteria, your grade will be determined by the following University-wide scale for converting marks to grades: an average mark of 50% is sufficient for a C- grade, an average mark of 55% earns a C grade, 60% earns a C+ grade and so forth. However if you do not satisfy both the passing criteria you will be given either a D or E grade depending on marks. Marks are sometimes scaled to achieve consistency between courses from year to year.Students may apply for special consideration if their performance in an assessment is affected by extenuating circumstances beyond their control.Applications for special consideration should be submitted via the Special Considerations website within five days of the assessment.Where an extension may be granted for an assessment, this will be decided by direct application to the Department and an application to the Examinations Office may not be required. Special consideration is not available for items worth less than 10% of the course.Students prevented by extenuating circumstances from completing the course after the final date for withdrawing, may apply for special consideration for late discontinuation of the course. Applications must be submitted to the Examinations Office within five days of the end of the main examination period for the semester.
Please click HERE for the CSSE Department's policy for the academic remedy of applications for a special consideration for final exams.
Domestic fee $1,176.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Computer Science and Software Engineering .