利用转发与来源混淆提升 Bitswap 隐私性
Improving Bitswap Privacy with Forwarding and Source Obfuscation
AI总结：
本文研究在 IPFS 的 Bitswap 协议中引入转发与来源混淆以增强隐私，实验显示涓流扩散可将来源预测准确率降至 40%，并在短距离场景下仍可能保持较快的内容获取速度。
摘要：
IPFS 是一个内容寻址的去中心化点对点数据网络，使用 Bitswap 协议交换数据。数据交换会将信息泄露给所有邻居，从而损害用户隐私。本文研究了转发与来源混淆技术在提升 Bitswap 协议隐私性方面的适用性。使用转发可以增加合理的可否认性，而来源混淆则提供了针对被动观察者的额外保护。初步结果表明，通过涓流扩散（trickle-spreading），来源预测准确率可降至 40%，但代价是内容获取时间增加。然而，假设内容提供者与消费者之间距离较短，即使增加了来源混淆，内容获取时间也可能更快。
英文摘要：
IPFS is a content-addressed decentralized peer-to-peer data network, using the Bitswap protocol for exchanging data. The data exchange leaks the information to all neighbors, compromising a user's privacy. This paper investigates the suitability of forwarding with source obfuscation techniques for improving the privacy of the Bitswap protocol. The usage of forwarding can add plausible deniability and the source obfuscation provides additional protection against passive observers. First results showed that through trickle-spreading the source prediction could decrease to 40 %, at the cost of an increased content fetching time. However, assuming short distances between content provider and consumer the content fetching time can be faster even with the additional source obfuscation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
