Nishit V. Pandya (Indian Institute of Science Bangalore), Himanshu Kumar (Indian Institute of Science Bangalore), Gokulnath M. Pillai (Indian Institute of Science Bangalore), Vinod Ganapathy (Indian Institute of Science Bangalore)

ROS2 is a popular publish/subscribe based middleware that allows developers to build and deploy a wide-variety of distributed robotics applications. Unfortunately, ROS2 offers applications poor control over how their data is consumed by downstream applications.

We present Picaros, a decentralized information-flow control (DIFC) system tailored for ROS2. The decentralized and distributed architecture of ROS2 poses new challenges to building a DIFC system that prior work has not addressed. Picaros adopts a novel approach to address these challenges by casting and solving the problem of DIFC within the framework of attribute-based encryption (ABE). Picaros's design embraces the unique nature of the ROS2 platform and carefully avoids any centralized elements. This paper presents the design and implementation of Picaros and reports on our experiments that use Picaros's ABE-based approach for DIFC with ROS2 applications.

View More Papers

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

Pencil: Private and Extensible Collaborative Learning without the Non-Colluding...

Xuanqi Liu (Tsinghua University), Zhuotao Liu (Tsinghua University), Qi Li (Tsinghua University), Ke Xu (Tsinghua University), Mingwei Xu (Tsinghua University)

Read More

Leaking the Privacy of Groups and More: Understanding Privacy...

Jiangrong Wu (Sun Yat-sen University), Yuhong Nan (Sun Yat-sen University), Luyi Xing (Indiana University Bloomington), Jiatao Cheng (Sun Yat-sen University), Zimin Lin (Alibaba Group), Zibin Zheng (Sun Yat-sen University), Min Yang (Fudan University)

Read More

Secure Multiparty Computation of Threshold Signatures Made More Efficient

Harry W. H. Wong (The Chinese University of Hong Kong), Jack P. K. Ma (The Chinese University of Hong Kong), Sherman S. M. Chow (The Chinese University of Hong Kong)

Read More