Document Type

Conference Proceeding

Publication Date


Subject: LCSH

Computer crimes--Investigation, Internet of things


Computer Engineering | Computer Sciences | Electrical and Computer Engineering | Forensic Science and Technology | Information Security


The adoption of smart home Internet of Things (IoT) devices continues to grow. What if your devices can snitch on you and let us know where you are at any given point in time? In this work we examined the forensic artifacts produced by Nest devices, and in specific, we examined the logical backup structure of an iPhone used to control a Nest thermostat, Nest Indoor Camera and a Nest Outdoor Camera. We also integrated the Google Home Mini as another method of controlling the studied Smart Home devices. Our work is the primary account for the examination of Nest artifacts produced by an iPhone, and is also the first open source research to produce a usable forensics tool we name the Forensic Evidence Acquisition and Analysis System (FEAAS). FEAAS consolidates evidentiary data into a readable report that can infer user events (like entering or leaving a home) and what triggered an event (whether it was the Google Assistant through a voice command, or the use of an iPhone application). Our results are important for the advancement of digital forensics, as there are cases starting to emerge in which smart home IoT devices have already been used as culpatory evidence.


Dr. Baggili was appointed to the University of New Haven’s Elder Family Endowed Chair in 2015.

© The Authors | ACM 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in {Source Publication},



Publisher Citation

Gokila Dorai, Shiva Houshmand, and Ibrahim Baggili. 2018. I Know What You Did Last Summer: Your Smart Home Internet of Things and Your iPhone Forensically Ratting You Out. In ARES 2018: International Conference on Availability, Reliability and Security, August 27–30, 2018, Hamburg, Germany, Gokila Dorai, Shiva Houshmand, and Ibrahim Baggili (Eds.). ACM, New York, NY, USA, 10 pages.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.