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http://hdl.handle.net/10397/105478
Title: | DAENet : making strong anonymity scale in a fully decentralized network | Authors: | Shen, T Jiang, J Jiang, Y Chen, X Qi, J Zhao, S Zhang, F Luo, X Cui, H |
Issue Date: | Jul-2022 | Source: | IEEE transactions on dependable and secure computing, 1 July-Aug. 2022, v. 19, no. 4, p. 2286-2303 | Abstract: | Traditional anonymous networks (e.g., Tor) are vulnerable to traffic analysis attacks that monitor the whole network traffic to determine which users are communicating. To preserve user anonymity against traffic analysis attacks, the emerging mix networks mess up the order of packets through a set of centralized and explicit shuffling nodes. However, this centralized design of mix networks is insecure against targeted DoS attacks that can completely block these shuffling nodes. In this article, we present DAENet , an efficient mix network that resists both targeted DoS attacks and traffic analysis attacks with a new abstraction called Stealthy Peer-to-Peer (P2P) Network . The stealthy P2P network effectively hides the shuffling nodes used in a routing path into the whole network, such that adversaries cannot distinguish specific shuffling nodes and conduct targeted DoS attacks to block these nodes. In addition, to handle traffic analysis attacks, we leverage the confidentiality and integrity protection of Intel SGX to ensure trustworthy packet shuffles at each distributed host and use multiple routing paths to prevent adversaries from tracking and revealing user identities. We show that our system is scalable with moderate latency (2.2s) when running in a cluster of 10,000 participants and is robust in the case of machine failures, making it an attractive new design for decentralized anonymous communication. DAENet ’s code is released on https://github.com/hku-systems/DAENet . | Keywords: | DoS attack Mix network P2P network Scalable anonymous communication SGX Traffic analysis attack |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on dependable and secure computing | ISSN: | 1545-5971 | EISSN: | 1941-0018 | DOI: | 10.1109/TDSC.2021.3052831 | Rights: | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ The following publicationT. Shen et al., "DAENet: Making Strong Anonymity Scale in a Fully Decentralized Network," in IEEE Transactions on Dependable and Secure Computing, vol. 19, no. 4, pp. 2286-2303, 1 July-Aug. 2022 is available at https://doi.org/10.1109/TDSC.2021.3052831. |
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