Alenka Zajic -- Leveraging Electromagnetic Emanations for IoT Security

Abstract:

The Internet of Things (IoT) has introduced new security risks for
both consumers and businesses. Mitigation of these risks is difficult
in part because IoT devices often have limited resources available
for security monitoring, and limited hardware and system support for
isolation and protection. Unfortunately, existing malware detection
techniques require significant computation power and resources on
the monitored device itself, making their deployment on IoT devices
challenging.

To address the problem of the increasing need for IOT malware
detection on one side, and severe difficulties in implementing such
detection on the IOT devices themselves, this talk will present a
method for finding execution of malware on IoT devices that allows
external detection of malware on an IOT device without imposing any
overhead, using any resources, and even without physical contact
with that IOT device. To achieve that, we use electromagnetic
(EM) emanations from the IOT device?s computational components to
characterize the normal behavior of the software running on that
device, and then monitor future EM emanations to detect when the
observed behavior significantly deviates from the previously learned
normal behavior. The talk will also present specialized antennas
designed to pick up signals closed to the noise floor, propagation
characterization, modeling of communication link of side-channel
signals, and derivation of capacity bounds of the EM side-channel.

Date: 
Monday, November 27, 2017 - 4:15pm to 5:15pm
location: 
Gates 463