IoT Cybersecurity: Securing the Internet of Things
Understanding how to safeguard Internet of Things networks against privacy breaches and security vulnerabilities is essential for modern cybersecurity.
Understanding how to safeguard Internet of Things networks against privacy breaches and security vulnerabilities is essential for modern cybersecurity.
This introductory course focuses on cybersecurity and privacy issues in Internet of Things (IoT) environments. Students will learn to identify and analyze IoT security and privacy risks, design secure hardware and software concepts, and assess the social and privacy impacts of IoT. The course covers organizational risks posed by IoT networks, IoT device vulnerabilities, and applications in various industries.
Instructors:
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What you'll learn
Identify and analyze security and privacy risks in IoT environments
Develop concept designs for secure IoT hardware and software
Assess the social and privacy impacts of IoT technologies
Understand organizational risks posed by IoT networks
Explore principles of IoT device vulnerabilities
Examine software and hardware IoT applications for industry
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course provides a comprehensive overview of cybersecurity and privacy challenges in the rapidly growing Internet of Things (IoT) landscape. It addresses the critical need for professionals to understand and mitigate potential security risks in IoT environments. Key topics include identification and analysis of IoT security and privacy risks, principles of IoT device vulnerabilities, and concept design for secure hardware and software. The course also explores software and hardware IoT applications for industry, emphasizing practical, real-world scenarios. A significant focus is placed on the social and commercial implications of IoT, discussing the privacy concerns arising from the proliferation of connected devices. This course is part of the Internet of Things (IoT) MicroMasters program, offering a broader context for IoT security within the larger IoT ecosystem.
Fee Structure
Instructors
21 Courses
Pioneering Professor in Assistive Technology and Embedded Systems at Curtin University
Iain Murray AM is a distinguished Professor in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, recognized for his expertise in networking, embedded systems, and assistive technology. With a career spanning over two decades, Murray has made significant contributions to both academia and society, particularly in the field of assistive technology for vision-impaired individuals.
11 Courses
Embedded Systems Expert and Lecturer at Curtin University
Dr. Siavash Khaksar is a lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, specializing in embedded systems and digital hardware-software co-design. His academic journey includes a B.Sc. in Electrical and Electronics Engineering from Azad University, an M.Eng in Electrical Engineering with a focus on Embedded Systems from Curtin University, and a Ph.D. from Curtin University, completed in 2024, which focused on assistive technology and the use of motion sensors and machine learning in gamification of rehabilitation.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.