Tigist Abera (Technische Universität Darmstadt), Raad Bahmani (Technische Universität Darmstadt), Ferdinand Brasser (Technische Universität Darmstadt), Ahmad Ibrahim (Technische Universität Darmstadt), Ahmad-Reza Sadeghi (Technische Universität Darmstadt), Matthias Schunter (Intel Labs)

Networks of autonomous collaborative embedded systems are emerging in many application domains such as vehicular ad-hoc networks, robotic factory workers, search/rescue robots, delivery and search drones. To perform their collaborative tasks the involved devices exchange various types of information such as sensor data, status information, and commands. For the correct operation of these complex systems each device must be able to verify that the data coming from other devices is correct and has not been maliciously altered.

In this paper, we present DIAT – a novel approach that allows to verify the correctness of data by attesting the correct generation as well as processing of data using control-flow attestation. DIAT enables devices in autonomous collaborative networks to securely and efficiently interact, relying on a minimal TCB. It ensures that the data sent from one device to another device is not maliciously changed, neither during transport nor during generation or processing on the originating device. Data exchanged between devices in the network is therefore authenticated along with a proof of integrity of all software involved in its generation and processing. To enable this, the embedded devices’ software is decomposed into simple interacting modules reducing the amount and complexity of software that needs to be attested, i.e., only those modules that process the data are relevant. As proof-of-concept we implemented and evaluated our scheme DIAT on a state-of-the-art flight controller for drones. Furthermore, we evaluated our scheme in a simulation environment to demonstrate its scalability for large-scale systems.

View More Papers

coucouArray ( [post_type] => ndss-paper [post_status] => publish [posts_per_page] => 4 [orderby] => rand [tax_query] => Array ( [0] => Array ( [taxonomy] => category [field] => id [terms] => Array ( [0] => 34 ) ) ) [post__not_in] => Array ( [0] => 4569 ) )

TIMBER-V: Tag-Isolated Memory Bringing Fine-grained Enclaves to RISC-V

Samuel Weiser (Graz University of Technology), Mario Werner (Graz University of Technology), Ferdinand Brasser (Technische Universität Darmstadt), Maja Malenko (Graz University of Technology), Stefan Mangard (Graz University of Technology), Ahmad-Reza Sadeghi (Technische Universität Darmstadt)

Read More

Total Recall: Persistence of Passwords in Android

Jaeho Lee (Rice University), Ang Chen (Rice University), Dan S. Wallach (Rice University)

Read More

Quantity vs. Quality: Evaluating User Interest Profiles Using Ad...

Muhammad Ahmad Bashir (Northeastern University), Umar Farooq (LUMS Pakistan), Maryam Shahid (LUMS Pakistan), Muhammad Fareed Zaffar (LUMS Pakistan), Christo Wilson (Northeastern University)

Read More

Profit: Detecting and Quantifying Side Channels in Networked Applications

Nicolás Rosner (University of California, Santa Barbara), Ismet Burak Kadron (University of California, Santa Barbara), Lucas Bang (Harvey Mudd College), Tevfik Bultan (University of California, Santa Barbara)

Read More

Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice

Anxhela Maloku (Technical University of Munich), Alexandra Klymenko (Technical University of Munich), Stephen Meisenbacher (Technical University of Munich), Florian Matthes (Technical University of Munich)

Vision: Profiling Human Attackers: Personality and Behavioral Patterns in Deceptive Multi-Stage CTF Challenges

Khalid Alasiri (School of Computing and Augmented Intelligence Arizona State University), Rakibul Hasan (School of Computing and Augmented Intelligence Arizona State University)

From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes on Fiverr

Mohamed Moustafa Dawoud (University of California, Santa Cruz), Alejandro Cuevas (Princeton University), Ram Sundara Raman (University of California, Santa Cruz)