CSEC3616: Semester 2, 2022

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Units CSEC3616 Semester 2 2022 [Normal day]

Unit of study_

CSEC3616: Cybersecurity Engineering

Semester 2, 2022 [Normal day] - Remote

Overview

This unit provides an introduction to the many facets of security in the digital and networked world, the challenges that computer systems face, and the design principles that have been developed to build secure systems and counter attacks. The unit puts the focus squarely on providing a thorough understanding of security principles and engineering for security. At the same time, we stress a hands-on approach to teach the stateof-the-art incarnations of security principles and technology, pretesting, and we practice programming for security. We pay particular attention to the fact that security is much more than just technology as we discuss the fields of usability in security, operational security, and cyberphysical systems. At the end of this unit, graduates are prepared for practical demands in their later careers and know how to tackle new, yet unforeseen challenges.

Unit details and rules

Unit code	CSEC3616
Academic unit	Computer Science
Credit points	6
Prohibitions ?	ELEC5616 or INFO2315 or INFO3616
Prerequisites ?	(INFO1110 or INFO1910) and INFO1112 and INFO1113 and MATH1064
Corequisites ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Suranga Seneviratne, suranga.seneviratne@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam (Open book)	Final examination Open Book examination	55%	Formal exam period	1.5 hours
Outcomes assessed:
Tutorial quiz	Quiz - 1 In-class quiz covering Week 1-5.	5%	Week 06	20 mins in-class quiz
Outcomes assessed:
Assignment	Assignment 1 An assignment that requires submitting answers and code.	10%	Week 07	N/A
Outcomes assessed:
Assignment	Assignment 2 A report submission analysing papers or security topic + presentation.	10%	Week 08	N/A
Outcomes assessed:
Assignment	Assignment 3 An assignment that requires submitting answers and code.	15%	Week 11	N/A
Outcomes assessed:
Tutorial quiz	Quiz - 2 In-class quiz covering Week 6-11.	5%	Week 12	20 mins in-class quiz
Outcomes assessed:
= group assignment ? = Type C final exam ?

Assessment summary

The unit has three assignments and two in-class quizzes.

Assignment 1 & 3 requires a report + code submission. Assignment 2 is report + presentation.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name Detailed information for each assessment can be found on Canvas.	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard. It is a policy of the School of Computer Science that in order to pass this unit, a student must achieve at least 40% in the written examination. For subjects without a final exam, the 40% minimum requirement applies to the corresponding major assessment component specified by the lecturer. A student must also achieve an overall final mark of 50 or more. Any student not meeting these requirements may be given a maximum final mark of no more than 45 regardless of their average.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

According to the university policy. Details will be provided in class, Canvas, and each assignment description.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	Introduction to Security Engineering	Lecture (2 hr)
Week 02	Usability and Security	Lecture (2 hr)
Week 03	Access Control	Lecture (2 hr)
Week 04	Symmetric Cryptography	Lecture (2 hr)
Week 05	Asymmetric Cryptography	Lecture (2 hr)
Week 06	Hashes, MACs, and Signatures	Lecture (2 hr)
Week 07	Authentication, Key Establishment & Distribution	Lecture (2 hr)
Week 08	Network Security - Protocols	Lecture (2 hr)
Week 09	Network Security - Firewalls	Lecture (2 hr)
Week 10	Software Security	Lecture (2 hr)
Week 11	Web Security	Lecture (2 hr)
Week 12	Threat Modelling	Lecture (2 hr)
Week 13	UoS Summary	Lecture (2 hr)

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. Search and retrieve relevant literature, and put it into the context of a security setup
LO2. Communicate the results of a security study to a non-security audience
LO3. Identify and understand ethical, legal, and professional issues in security
LO4. Recognise flaws in IT systems at the design stage
LO5. Demonstrate knowledge of security principles to follow in designing a system, including implications for usability and performance
LO6. Apply security principles in design phase
LO7. Demonstrate knowledge of how security principles are matched to certain technologies, and the security goals they achieve
LO8. Understand the key representatives of security technologies today
LO9. Demonstrate knowledge in programming for security (software/communications/network)
LO10. Understand common tools to explore a security setup and analyse it.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

New unit

Additional information

Academic appeals: sydney.edu.au/students/academic-appeals.html

Canvas: canvas.sydney.edu.au

Expectations of student conduct: sydney.edu.au/students/student-responsibilities.html

Financial support: sydney.edu.au/students/financial-support.html

Learning and Teaching Policy: sydney.edu.au/policies/

Libraries: sydney.edu.au/students/libraries.html

Student administration: sydney.edu.au/study/student-administration.html

Study resources: sydney.edu.au/students/learning-services.html

Wellbeing and support: sydney.edu.au/students/health-wellbeing.html

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

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