A Smart Home is No Castle: Privacy Vulnerabilities of Encrypted IoT Traffic
Noah Apthorpe, Dillon Reisman, Nick Feamster

TL;DR
This paper demonstrates that encrypted IoT device traffic in smart homes can still leak sensitive user information through traffic analysis, highlighting significant privacy vulnerabilities and the need for specialized protections.
Contribution
It provides an empirical analysis of privacy leaks in encrypted IoT traffic from four different smart home devices, revealing vulnerabilities overlooked by encryption.
Findings
Traffic rates can reveal user interactions despite encryption
Passive observers can infer sensitive information from network patterns
IoT privacy concerns are critical for policy and technological solutions
Abstract
The increasing popularity of specialized Internet-connected devices and appliances, dubbed the Internet-of-Things (IoT), promises both new conveniences and new privacy concerns. Unlike traditional web browsers, many IoT devices have always-on sensors that constantly monitor fine-grained details of users' physical environments and influence the devices' network communications. Passive network observers, such as Internet service providers, could potentially analyze IoT network traffic to infer sensitive details about users. Here, we examine four IoT smart home devices (a Sense sleep monitor, a Nest Cam Indoor security camera, a WeMo switch, and an Amazon Echo) and find that their network traffic rates can reveal potentially sensitive user interactions even when the traffic is encrypted. These results indicate that a technological solution is needed to protect IoT device owner privacy, and…
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Taxonomy
TopicsInternet Traffic Analysis and Secure E-voting · Privacy, Security, and Data Protection · Wireless Networks and Protocols
