Visible to the public Biblio

Filters: Author is Bai, Guangdong  [Clear All Filters]
Wei, Hanlin, Bai, Guangdong, Luo, Zongwei.  2020.  Foggy: A New Anonymous Communication Architecture Based on Microservices. 2020 25th International Conference on Engineering of Complex Computer Systems (ICECCS). :135–144.
This paper presents Foggy, an anonymous communication system focusing on providing users with anonymous web browsing. Foggy provides a microservice-based proxy for web browsing and other low-latency network activities without exposing users' metadata and browsed content to adversaries. It is designed with decentralized information management, web caching, and configurable service selection. Although Foggy seems to be more centralized compared with Tor, it gains an advantage in manageability while retaining anonymity. Foggy can be deployed by several agencies to become more decentralized. We prototype Foggy and test its performance. Our experiments show Foggy's low latency and deployability, demonstrating its potential to be a commercial solution for real-world deployment.
Chen, Binbin, Dong, Xinshu, Bai, Guangdong, Jauhar, Sumeet, Cheng, Yueqiang.  2017.  Secure and Efficient Software-Based Attestation for Industrial Control Devices with ARM Processors. Proceedings of the 33rd Annual Computer Security Applications Conference. :425–436.

For industrial control systems, ensuring the software integrity of their devices is a key security requirement. A pure software-based attestation solution is highly desirable for protecting legacy field devices that lack hardware root of trust (e.g., Trusted Platform Module). However, for the large population of field devices with ARM processors, existing software-based attestation schemes either incur long attestation time or are insecure. In this paper, we design a novel memory stride technique that significantly reduces the attestation time while remaining secure against known attacks and their advanced variants on ARM platform. We analyze the scheme's security and performance based on the formal framework proposed by Armknecht et al. [7] (with a necessary change to ensure its applicability in practical settings). We also implement memory stride on two models of real-world power grid devices that are widely deployed today, and demonstrate its superior performance.