Light Ears: Information Leakage via Smart Lights

08/23/2018
by   Anindya Maiti, et al.
0

Modern Internet-enabled smart lights promise energy efficiency and many additional capabilities over traditional lamps. However, these connected lights create a new attack surface, which can be maliciously used to violate users' privacy and security. In this paper, we design and evaluate novel attacks that take advantage of light emitted by modern smart bulbs in order to infer users' private data and preferences. The first two attacks are designed to infer users' audio and video playback by a systematic observation and analysis of the multimedia-visualization functionality of smart light bulbs. The third attack utilizes the infrared capabilities of such smart light bulbs to create a covert-channel, which can be used as a gateway to exfiltrate user's private data out of their secured home or office network. A comprehensive evaluation of these attacks in various real-life settings confirms their feasibility and affirms the need for new privacy protection mechanisms.

READ FULL TEXT

page 4

page 8

page 13

research
11/13/2020

A GAN-based Approach for Mitigating Inference Attacks in Smart Home Environment

The proliferation of smart, connected, always listening devices have int...
research
10/22/2020

Zoom on the Keystrokes: Exploiting Video Calls for Keystroke Inference Attacks

Due to recent world events, video calls have become the new norm for bot...
research
10/21/2021

E-DPNCT: An Enhanced Attack Resilient Differential Privacy Model For Smart Grids Using Split Noise Cancellation

High frequency reporting of energy utilization data in smart grids can b...
research
12/16/2022

A systematic literature review on Internet of Vehicles Security

The Internet of Vehicles IoV commonly referred to as connected automobil...
research
04/27/2023

SHATTER: Control and Defense-Aware Attack Analytics for Activity-Driven Smart Home Systems

Modern smart home control systems utilize real-time occupancy and activi...
research
01/15/2021

Privacy Protection of Grid Users Data with Blockchain and Adversarial Machine Learning

Utilities around the world are reported to invest a total of around 30 b...
research
07/29/2021

A Study of Feasibility and Diversity of Web Audio Fingerprints

Prior measurement studies on browser fingerprinting have unfortunately l...

Please sign up or login with your details

Forgot password? Click here to reset