Christian Niesler (University of Duisburg-Essen), Sebastian Surminski (University of Duisburg-Essen), Lucas Davi (University of Duisburg-Essen)

Memory corruption attacks are a pre-dominant attack vector against IoT devices. Simply updating vulnerable IoT software is not always possible due to unacceptable downtime and a required reboot. These side-effects must be avoided for highly-available embedded systems such as medical devices and, generally speaking, for any embedded system with real-time constraints.
To avoid downtime and reboot of a system, previous research has introduced the concept of hotpatching. However, the existing approaches cannot be applied to resource-constrained IoT devices. Furthermore, possible hardware-related issues have not been addressed, i.e., the inability to directly modify the firmware image due to read-only memory.

In this paper, we present the design and implementation of HERA (Hotpatching of Embedded Real-time Applications) which utilizes hardware-based built-in features of commodity Cortex-M microcontrollers to perform hotpatching of embedded systems. HERA preserves hard real-time constraints while keeping the additional resource usage to a minimum. In a case study, we apply HERA to two vulnerable medical devices. Furthermore, we leverage HERA to patch an existing vulnerability in the FreeRTOS operating system. These applications demonstrate the high practicality and efficiency of our approach.

View More Papers

Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses...

Virat Shejwalkar (UMass Amherst), Amir Houmansadr (UMass Amherst)

Read More

Exploring The Design Space of Sharing and Privacy Mechanisms...

Abdulmajeed Alqhatani, Heather R. Lipford (University of North Carolina at Charlotte)

Read More

Impact Evaluation of Falsified Data Attacks on Connected Vehicle...

Shihong Huang (University of Michigan, Ann Arbor), Yiheng Feng (Purdue University), Wai Wong (University of Michigan, Ann Arbor), Qi Alfred Chen (UC Irvine), Z. Morley Mao and Henry X. Liu (University of Michigan, Ann Arbor) Best Paper Award Runner-up ($200 cash prize)!

Read More

SymQEMU: Compilation-based symbolic execution for binaries

Sebastian Poeplau (EURECOM and Code Intelligence), Aurélien Francillon (EURECOM)

Read More