Tor的高效填料机
Towards Effective and Efficient Padding Machines for Tor
摘要：
Tor最近集成了一个用于创建填充机的电路填充框架：通过定义注入虚拟流量的状态机来防止流量分析攻击，如网站指纹（WF）攻击。在本文中，我们将探讨设计有效和高效的填充机，以抵御WF攻击。通过使用精心制作的数据集，电路填充模拟器，遗传编程，和填充机的手动调整，我们探索了不同的方面是什么使填充机有效和高效的防御。我们的最后一台机器名为Interspace，它是概率定义的，在效率和有效性之间进行了可调整的权衡，以对抗Sirinam等人的最先进的深度学习WF攻击Deep Fingerprinting。我们证明了Interspace可以比Juarez等人的WTF-PAD更有效和高效。填充机启发了Tor的电路填充框架的设计。最后，我们展示了Interspace如何变得不那么有效，确定了概率定义的填充机的有前途的策略，并强调了在更复杂的防御中进一步探索这种策略的必要性。
英文摘要：
Tor recently integrated a circuit padding framework for creating padding machines: defenses that work by defining state machines that inject dummy traffic to protect against traffic analysis attacks like Website Fingerprinting (WF) attacks. In this paper, we explore the design of effective and efficient padding machines to defend against WF attacks. Through the use of carefully crafted datasets, a circuit padding simulator, genetic programming, and manual tuning of padding machines we explore different aspects of what makes padding machines effective and efficient defenses. Our final machine, named Interspace, is probabilistically-defined with a tweakable trade-off between efficiency and effectiveness against the state-of-the-art deep-learning WF attack Deep Fingerprinting by Sirinam et al. We show that Interspace can be both more effective and efficient than WTF-PAD by Juarez et al. the padding machine that inspired the design of Tor's circuit padding framework. We end this paper by showing how Interspace can be made less effective, identifying the promising tactic of probabilistically defined padding machines, and highlighting the need to further explore this tactic in more complex defenses.
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。
