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CC5904 - IoT Security and Cloud Computing

Credit points: 3
Year: 2023
Student Contribution Band: Band 1
Administered by: College of Science and Engineering

This subject considers the security of Internet of Things (IoT) systems as well as the implementation of cloud-based data storage and analytics. Students will learn how to integrate an IoT system into a cloud computing framework for analysis and operational decision making. They will critically analyse the security issues in distributed IoT systems and identify strategies to reduce security risks. Other considerations include privacy, legal obligations, and ethical issues related to the increasing prevalence of data in society.

Learning Outcomes

  • integrate an IoT system into a cloud computing framework;
  • develop, implement, and evaluate a cloud-based backend for data storage, visualisation and analysis to support business and operational decision-making;
  • critically analyse IoT system security and ensure that all parts of an IoT system have been designed with security, privacy and ethical principles in mind;
  • recognise and respond appropriately to the social, legal and ethical implications of IoT and cloud computing technologies, applying a high level of judgement while being able to justify those decisions;
  • explain how cloud computing works, its benefits, limitations, relevance and uses for IoT systems.

Subject Assessment

  • Written > Case study analysis - (30%) - Individual
  • Written > Project report - (50%) - Individual
  • Performance/Practice/Product > Practical assessment/practical skills demonstration - (20%) - Individual.
Prerequisites: CC5902

Availabilities

JCU Brisbane, Trimester 3, Internal
Census Date 05-Oct-2023
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 65 hours lectures - resources including readings, screencasts, embedded quizzing
  • assessment and self-directed study

JCU Online, Study Period 82, External
Census Date 23-Mar-2023
Coordinator: Dr Chao Chen
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 65 hours online Seminars - Online resources including readings, screencasts, embedded quizzing
  • assessment and self-directed study
Method of Delivery: Online - JCU
Restrictions: Enrolment in this offering is restricted.

JCU Online, Study Period 86, External
Census Date 09-Nov-2023
Coordinator: Dr Chao Chen
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 65 hours online Seminars - Online resources including readings, screencasts, embedded quizzing
  • assessment and self-directed study
Method of Delivery: Online - JCU
Restrictions: Enrolment in this offering is restricted.

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.