Marina Moore, Aditya Sirish A Yelgundhalli (New York University), Justin Cappos (NYU)

Software supply chain attacks are a major concern and need to be addressed by every organization, including automakers. While there are many effective technologies in both the software delivery and broader software supply chain security space, combining these technologies presents challenges specific to automotive applications. We explore the trust boundaries between the software supply chain and software delivery systems to determine where verification of software supply chain metadata should occur, how to establish a root of trust, and how supply chain policy can be distributed. Using this exploration, we design Scudo, a secure combination of software over the air and software supply chain security technologies. We show that adding full verification of software supply chain metadata on-vehicle is not only inefficient, but is also largely unnecessary for security with multiple points of repository-side verification.

In addition, this paper describes a secure instantiation of Scudo, which integrates Uptane, a state of the art software update security solution, and in-toto, a comprehensive supply chain security framework. A practical deployment has shown that Scudo provides robust software supply chain protections. The client side power and processing costs are negligible, with the updated metadata comprising 0.504% of the total update transmission. The client side verification adds 0.21 seconds to the total update flow. This demonstrates that Scudo is easy to deploy in ways that can efficiently and effectively catch software supply chain attacks.

View More Papers

WIP: Infrared Laser Reflection Attack Against Traffic Sign Recognition...

Takami Sato (University of California, Irvine), Sri Hrushikesh Varma Bhupathiraju (University of Florida), Michael Clifford (Toyota InfoTech Labs), Takeshi Sugawara (The University of Electro-Communications), Qi Alfred Chen (University of California, Irvine), Sara Rampazzi (University of Florida)

Read More

GraphGuard: Detecting and Counteracting Training Data Misuse in Graph...

Bang Wu (CSIRO's Data61/Monash University), He Zhang (Monash University), Xiangwen Yang (Monash University), Shuo Wang (CSIRO's Data61/Shanghai Jiao Tong University), Minhui Xue (CSIRO's Data61), Shirui Pan (Griffith University), Xingliang Yuan (Monash University)

Read More

EM Eye: Characterizing Electromagnetic Side-channel Eavesdropping on Embedded Cameras

Yan Long (University of Michigan), Qinhong Jiang (Zhejiang University), Chen Yan (Zhejiang University), Tobias Alam (University of Michigan), Xiaoyu Ji (Zhejiang University), Wenyuan Xu (Zhejiang University), Kevin Fu (Northeastern University)

Read More

50 Shades of Support: A Device-Centric Analysis of Android...

Abbas Acar (Florida International University), Güliz Seray Tuncay (Google), Esteban Luques (Florida International University), Harun Oz (Florida International University), Ahmet Aris (Florida International University), Selcuk Uluagac (Florida International University)

Read More