Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature
Florian Frank, Wenjie Xiong, Nikolaos Athanasios Anagnostopoulos,, Andr\'e Schaller, Tolga Arul, Farinaz Koushanfar, Stefan Katzenbeisser,, Ulrich Ruhrmair, and Jakub Szefer

TL;DR
This paper reveals a novel digital attack exploiting DRAM decay properties to remotely sense temperature in IoT devices, enabling privacy breaches without hardware modifications or physical access.
Contribution
It introduces a new temperature sensing attack using DRAM decay characteristics, applicable to off-the-shelf IoT devices without hardware changes.
Findings
Achieves temperature sensing with 0.5°C resolution from 0°C to 70°C
Works on devices without dedicated temperature sensors
Can be performed remotely via software compromise
Abstract
The ubiquity and pervasiveness of modern Internet of Things (IoT) devices opens up vast possibilities for novel applications, but simultaneously also allows spying on, and collecting data from, unsuspecting users to a previously unseen extent. This paper details a new attack form in this vein, in which the decay properties of widespread, off-the-shelf DRAM modules are exploited to accurately sense the temperature in the vicinity of the DRAM-carrying device. Among others, this enables adversaries to remotely and purely digitally spy on personal behavior in users' private homes, or to collect security-critical data in server farms, cloud storage centers, or commercial production lines. We demonstrate that our attack can be performed by merely compromising the software of an IoT device and does not require hardware modifications or physical access at attack time. It can achieve temperature…
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Taxonomy
TopicsSecurity and Verification in Computing · Physical Unclonable Functions (PUFs) and Hardware Security · Advanced Malware Detection Techniques
