Title: On the Complexity of Anonymous Communication Through Public Networks
Onion routing is the most widely used approach to anonymous communication online. The idea is that Alice wraps her message to Bob in layers of encryption to form an “onion” and routes it through a series of intermediaries. Each intermediary’s job is to decrypt (“peel”) the onion it receives to obtain instructions for where to send it next. The intuition is that, by the time it gets to Bob, the onion will have mixed with so many other onions that its origin will be hard to trace even for an adversary that observes the entire network and controls a fraction of the participants, possibly including Bob. Despite its widespread use in practice, until now no onion routing protocol was known that simultaneously achieved, in the presence of an active adversary that observes all network traffic and controls a constant fraction of the participants, (a) anonymity; (b) fault-tolerance, where even if a few of the onions are dropped, the protocol still delivers the rest; and (c) reasonable communication and computational complexity as a function of the security parameter and the number of participants. In this paper, we give the first onion routing protocol that meets these goals: our protocol (a) achieves anonymity; (b) tolerates a polylogarithmic (in the security parameter) number of dropped onions and still delivers the rest; and (c) requires a polylogarithmic number of rounds and a polylogarithmic number of onions sent per participant per round. We also show that to achieve anonymity in a fault-tolerant fashion via onion routing, this number of onions and rounds is necessary. Of independent interest, our analysis introduces two new security properties of onion routing – mixing and equalizing – and we show that together they imply anonymity. more »« less
Alpturer, Kaya; Weinberg, S Matthew
(, Schloss Dagstuhl – Leibniz-Zentrum für Informatik)
Böhme, Rainer; Kiffer, Lucianna
(Ed.)
It is well-known that RANDAO manipulation is possible in Ethereum if an adversary controls the proposers assigned to the last slots in an epoch. We provide a methodology to compute, for any fraction α of stake owned by an adversary, the maximum fraction f(α) of rounds that a strategic adversary can propose. We further implement our methodology and compute f(⋅) for all α. For example, we conclude that an optimal strategic participant with 5% of the stake can propose a 5.048% fraction of rounds, 10% of the stake can propose a 10.19% fraction of rounds, and 20% of the stake can propose a 20.68% fraction of rounds.
Weerasena, Hansika; Mishra, Prabhat
(, ACM Journal on Emerging Technologies in Computing Systems)
Network-on-chip (NoC) is widely used to facilitate communication between components in sophisticated system-on-chip (SoC) designs. Security of the on-chip communication is crucial because exploiting any vulnerability in shared NoC would be a goldmine for an attacker that puts the entire computing infrastructure at risk. We investigate the security strength of existing anonymous routing protocols in NoC architectures, making two pivotal contributions. Firstly, we develop and perform a machine learning (ML)-based flow correlation attack on existing anonymous routing techniques in NoC systems, revealing that they provide only packet-level anonymity. Secondly, we propose a novel, lightweight anonymous routing protocol featuring outbound traffic tunneling and traffic obfuscation. This protocol is designed to provide robust defense against ML-based flow correlation attacks, ensuring both packet-level and flow-level anonymity. Experimental evaluation using both real and synthetic traffic demonstrates that our proposed attack successfully deanonymizes state-of-the-art anonymous routing in NoC architectures with high accuracy (up to 99%) for diverse traffic patterns. It also reveals that our lightweight anonymous routing protocol can defend against ML-based attacks with minor hardware and performance overhead.
Efremenko, Klim; Kol, Gillat; Paramonov, Dmitry; Raz, Ran; Saxena, Raghuvansh R
(, Schloss Dagstuhl – Leibniz-Zentrum für Informatik)
Santhanam, Rahul
(Ed.)
We initiate the study of error correcting codes over the multi-party adversarial broadcast channel. Specifically, we consider the classic information dissemination problem where n parties, each holding an input bit, wish to know each other’s input. For this, they communicate in rounds, where, in each round, one designated party sends a bit to all other parties over a channel governed by an adversary that may corrupt a constant fraction of the received communication. We mention that the dissemination problem was studied in the stochastic noise model since the 80’s. While stochastic noise in multi-party channels has received quite a bit of attention, the case of adversarial noise has largely been avoided, as such channels cannot handle more than a 1/n-fraction of errors. Indeed, this many errors allow an adversary to completely corrupt the incoming or outgoing communication for one of the parties and fail the protocol. Curiously, we show that by eliminating these "trivial" attacks, one can get a simple protocol resilient to a constant fraction of errors. Thus, a model that rules out such attacks is both necessary and sufficient to get a resilient protocol. The main shortcoming of our dissemination protocol is its length: it requires Θ(n²) communication rounds whereas n rounds suffice in the absence of noise. Our main result is a matching lower bound of Ω(n²) on the length of any dissemination protocol in our model. Our proof first "gets rid" of the channel noise by converting it to a form of "input noise", showing that a noisy dissemination protocol implies a (noiseless) protocol for a version of the direct sum gap-majority problem. We conclude the proof with a tight lower bound for the latter problem, which may be of independent interest.
Byzantine fault-tolerant (BFT) state machine replication (SMR) protocols form the basis of modern blockchains as they maintain a consistent state across all blockchain nodes while tolerating a bounded number of Byzantine faults. We analyze BFT SMR in the excessive fault setting where the actual number of Byzantine faults surpasses a protocol's tolerance. We start by devising the very first repair algorithm for linearly chained and quorum-based partially synchronous SMR to recover from faulty states caused by excessive faults. Such a procedure can be realized using any commission fault detection module— an algorithm that identifies the faulty replicas without falsely locating any correct replica. We achieve this with a slightly weaker liveness guarantee, as the original security notion is impossible to satisfy given excessive faults. We implement recoverable HotStuff in Rust. The throughput resumes to the normal level (without excessive faults) after recovery routines terminate for 7 replicas and is slightly reduced by ≤ 4.3% for 30 replicas. On average, it increases the latency by 12.87% for 7 replicas and 8.85% for 30 replicas. Aside from adopting existing detection modules, we also establish the sufficient condition for a general BFT SMR protocol to allow for complete and sound fault detection when up to (n - 2) Byzantine replicas (out of n total replicas) attack safety. We start by providing the first closed-box fault detection algorithm for any SMR protocol without any extra rounds of communication. We then describe open-box instantiations of our fault detection routines in Tendermint and Hotstuff, further reducing the overhead, both asymptotically and concretely.
Byzantine fault-tolerant (BFT) state machine replication (SMR) protocols form the basis of modern blockchains as they maintain a consistent state across all blockchain nodes while tolerating a bounded number of Byzantine faults. We analyze BFT SMR in the excessive fault setting where the actual number of Byzantine faults surpasses a protocol's tolerance. We start by devising the very first repair algorithm for linearly chained and quorum-based partially synchronous SMR to recover from faulty states caused by excessive faults. Such a procedure can be realized using any commission fault detection module— an algorithm that identifies the faulty replicas without falsely locating any correct replica. We achieve this with a slightly weaker liveness guarantee, as the original security notion is impossible to satisfy given excessive faults. We implement recoverable HotStuff in Rust. The throughput resumes to the normal level (without excessive faults) after recovery routines terminate for 7 replicas and is slightly reduced by ≤ 4.3% for 30 replicas. On average, it increases the latency by 12.87% for 7 replicas and 8.85% for 30 replicas. Aside from adopting existing detection modules, we also establish the sufficient condition for a general BFT SMR protocol to allow for complete and sound fault detection when up to (n - 2) Byzantine replicas (out of n total replicas) attack safety. We start by providing the first closed-box fault detection algorithm for any SMR protocol without any extra rounds of communication. We then describe open-box instantiations of our fault detection routines in Tendermint and Hotstuff, further reducing the overhead, both asymptotically and concretely.
Ando, Megumi, and Lysynskaya, Anna: Upfal. On the Complexity of Anonymous Communication Through Public Networks. Retrieved from https://par.nsf.gov/biblio/10276676. 2nd Conference on Information-Theoretic Cryptography (ITC 2021). 9.
Ando, Megumi, & Lysynskaya, Anna: Upfal. On the Complexity of Anonymous Communication Through Public Networks. 2nd Conference on Information-Theoretic Cryptography (ITC 2021)., 9 (). Retrieved from https://par.nsf.gov/biblio/10276676.
Ando, Megumi, and Lysynskaya, Anna: Upfal.
"On the Complexity of Anonymous Communication Through Public Networks". 2nd Conference on Information-Theoretic Cryptography (ITC 2021). 9 (). Country unknown/Code not available. https://par.nsf.gov/biblio/10276676.
@article{osti_10276676,
place = {Country unknown/Code not available},
title = {On the Complexity of Anonymous Communication Through Public Networks},
url = {https://par.nsf.gov/biblio/10276676},
abstractNote = {Onion routing is the most widely used approach to anonymous communication online. The idea is that Alice wraps her message to Bob in layers of encryption to form an “onion” and routes it through a series of intermediaries. Each intermediary’s job is to decrypt (“peel”) the onion it receives to obtain instructions for where to send it next. The intuition is that, by the time it gets to Bob, the onion will have mixed with so many other onions that its origin will be hard to trace even for an adversary that observes the entire network and controls a fraction of the participants, possibly including Bob. Despite its widespread use in practice, until now no onion routing protocol was known that simultaneously achieved, in the presence of an active adversary that observes all network traffic and controls a constant fraction of the participants, (a) anonymity; (b) fault-tolerance, where even if a few of the onions are dropped, the protocol still delivers the rest; and (c) reasonable communication and computational complexity as a function of the security parameter and the number of participants. In this paper, we give the first onion routing protocol that meets these goals: our protocol (a) achieves anonymity; (b) tolerates a polylogarithmic (in the security parameter) number of dropped onions and still delivers the rest; and (c) requires a polylogarithmic number of rounds and a polylogarithmic number of onions sent per participant per round. We also show that to achieve anonymity in a fault-tolerant fashion via onion routing, this number of onions and rounds is necessary. Of independent interest, our analysis introduces two new security properties of onion routing – mixing and equalizing – and we show that together they imply anonymity.},
journal = {2nd Conference on Information-Theoretic Cryptography (ITC 2021).},
volume = {9},
author = {Ando, Megumi and Lysynskaya, Anna: Upfal},
editor = {Tessaro, Stefano}
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.