IoT Security & Privacy: A Data-Driven Perspective

Overview

Smart home IoT (Internet-of-Things) devices are gaining popularity in average consumer homes. These “smart” devices, such as cameras, plugs, TVs, dishwashers, etc, are also known to pose various security and privacy threats (e.g., your Alexa listening to you), but the opaque nature of these devices makes it difficult to discover security and privacy vul-nerabilities.

This course introduces basic and advanced topics on Internet-of-Things (IoT) security and privacy from a data-driven perspective. It starts with preliminaries on networking and In-ternet security, followed by security research based on a data-driven approach. Students will review and present peer-reviewed academic papers from multiple disciplines, ranging from comput-er science, psychology, and policy/law. Furthermore, students will engage in hands-on projects to independently investigate real-world security and privacy issues of IoT devic-es and/or propose solutions to fix these issues.

Prerequisites

Students for this class are expected to have networking knowledge, such as how TCP/IP works, how packets get forwarded, and how to run TcpDump. Otherwise, students are encouraged to take relevant online courses on these topics before the semester begins and to seek the instructor’s approval. See the Resources page for a list of suggested online classes.

Course Information

  • Instructor: Danny Y. Huang (Email: iot-2021-sp@hdanny.org)
  • Title: IoT Security & Privacy: A Data-Driven Perspective
  • Number: ECE-GY 9393 or CUSP-GX 8011
  • Location: Zoom
  • Time: 2:00 - 4:30 pm every Thursday, Spring Semester, 2021
  • Department: ECE and CUSP
  • School: Tandon School of Engineering of New York University

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