Advanced Topics in Cyber Security

Advanced Topics in Cyber Security is available as a postgraduate-level subject offered by the International College of Management, Sydney (ICMS). Please click the button below to find a postgraduate course suitable for you.

Subject Code:

CYB803A

Subject Type:

Specialisation 

Pre-requisite/s:

CYB601A Enterprise and Network Cyber Security 

CYB701A Cyber Security Management 

ICT701A Software Design and Construction 

Course level study pre-requisite: a total of 16 credit points (4 subjects) prior to enrolling into the subject. 

Subject Level:

800

Credit Points:

4 credit points

Subject Aim:

Innovative technologies, and advances in artificial intelligence (AI) in particular, are not only enabling new business models for companies. They also have a tremendous impact on cyber security. On the one hand, AI enables novel forms of cyber-attacks. It has become one of the top concerns for managers when defending against AI-driven cyber-attacks. On the other hand, AI methods and technological innovations such as Blockchain enable mitigation of threats from cyber-attacks. For example, they help to automatically detect cyber-attacks at an early stage or they enable secure and trustworthy storage of distributed data. AI as a security threat and AI for security threat mitigation are thus becoming key areas of competence for successful companies and professionals.

The goal of this subject is for students to engage critically with both, AI as a security threat and AI for security threat mitigation. Students are enabled to independently perform AI-based attacks in the sense of penetration testing and white-hat hacking. They also learn to evaluate the consequences for companies. In addition, students examine modern AI-based techniques in order to assess their potential in threat mitigation. Finally, they learn hands-on skills to develop AI-based tools for business use. After completion of this subject, students will be able to participate in projects that demand knowledge of latest trends and technologies to be adapted by organisations for value creation.

Learning Outcomes:

a) Investigate advancements in (AI-based) cyber-attacks and critically analyse their contextual threat for organisations.

b) Perform AI-based attacks through penetration testing and white-hat hacking, and critically evaluate the organisational consequences.

c) Design and implement advanced AI and blockchain technologies for threat management, network management, and data security.

d) Justify and defend the contextual necessity of AI-based and blockchain technologies for threat mitigation in IT projects

Assessment Information:

Learning outcomes for this subject are assessed using a range of assessment tasks as described in the table below.

Broad topics to be covered: 

Please note that these topics are often refined and subject to change so for up to date weekly topics and suggested reading resources, please refer to the Moodle subject page.