Alexander Balgavy (Independent), Marius Muench (University of Birmingham)

Embedded devices are a pervasive and at times invisible part of our lives. Due to this pervasiveness, security vulnerabilities may have severe consequences, particularly because many embedded devices are deployed in sensitive applications, such as the industrial, automotive, and medical sectors. Linux-based firmware has already been the subject of extensive research; however, a considerable part of embedded devices do not run Linux. Since current literature mostly focuses on Linux-based firmware, the ecosystem of non-Linux firmware is not well-known.

Therefore, in this paper, we aim to fill this gap in research with FIRMLINE, a pipeline suitable for a large-scale study of nonLinux-based firmware. Using this pipeline, we analyze 21,755 samples, obtained from previous studies and new sources. As part of a security assessment, we also investigate the presence of operating systems and memory protections for a subset of 756 non-Linux ARM samples and find that the majority do not make use of either. Our work will allow for further research of non-Linux firmware, such as refining generic analysis techniques or investigating the OS and deployed security facilities of such firmware in more detail.

View More Papers

Abusing the Ethereum Smart Contract Verification Services for Fun...

Pengxiang Ma (Huazhong University of Science and Technology), Ningyu He (Peking University), Yuhua Huang (Huazhong University of Science and Technology), Haoyu Wang (Huazhong University of Science and Technology), Xiapu Luo (The Hong Kong Polytechnic University)

Read More

Secure Control of Connected and Automated Vehicles Using Trust-Aware...

H M Sabbir Ahmad, Ehsan Sabouni, Akua Dickson (Boston University), Wei Xiao (Massachusetts Institute of Technology), Christos Cassandras, Wenchao Li (Boston University)

Read More

WIP: Modeling and Detecting Falsified Vehicle Trajectories Under Data...

Jun Ying, Yiheng Feng (Purdue University), Qi Alfred Chen (University of California, Irvine), Z. Morley Mao (University of Michigan and Google)

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