Lune

CCS2018顶会

PASTA: PASsword-based Threshold Authentication

Shashank Agrawal, Peihan Miao, Payman Mohassel, Pratyay Mukherjee

2018年份
84被引次数
6顶会引用

摘要

Token-based authentication is commonly used to enable a single-sign-on experience on the web, in mobile applications and on enterprise networks using a wide range of open standards and network authentication protocols: clients sign on to an identity provider using their username/password to obtain a cryptographic token generated with a master secret key, and store the token for future accesses to various services and applications. The authentication server(s) are single point of failures that if breached, enable attackers to forge arbitrary tokens or mount offline dictionary attacks to recover client credentials. Our work is the first to introduce and formalize the notion of password-based threshold token-based authentication which distributes the role of an identity provider among n servers. Any t servers can collectively verify passwords and generate tokens, while no t-1 servers can forge a valid token or mount offline dictionary attacks. We then introduce PASTA, a general framework that can be instantiated using any threshold token generation scheme, wherein clients can "sign-on" using a two-round (optimal) protocol that meets our strong notions of unforgeability and password-safety. We instantiate and implement our framework in C++ using two threshold message authentication codes (MAC) and two threshold digital signatures with different trade-offs. Our experiments show that the overhead of protecting secrets and credentials against breaches in PASTA, i.e. compared to a naive single server solution, is extremely low (1-5%) in the most likely setting where client and servers communicate over the internet. The overhead is higher in case of MAC-based tokens over a LAN (though still only a few milliseconds) due to public-key operations in PASTA. We show, however, that this cost is inherent by proving a symmetric-key only solution impossible.

问问这篇 Paper

问问你的智能体。

Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。

可以从这些问题问起

智能体调用

Lunesearch_papers

在 Lune 里问

免费开始,无需绑卡

引用它的顶会 Paper6

问问它们各自怎么用它

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖