Verifiable threshold signature schemes against conspiracy attack

2004 ◽  
Vol 5 (1) ◽  
pp. 50-54
Author(s):  
Yuan-ju Gan
2009 ◽  
Vol 21 (10) ◽  
pp. 1351-1372 ◽  
Author(s):  
Chong-zhi Gao ◽  
Baodian Wei ◽  
Dongqing Xie ◽  
Chunming Tang

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yuanju Gan

In t , n threshold signature schemes, any subset of t participants out of n can produce a valid signature, but any fewer than t participants cannot. Meanwhile, a threshold signature scheme should remain robust and unforgeable against up to t − 1 corrupted participants. This nonforgeability property is that even an adversary breaking into up to t − 1 participants should be unable to generate signatures on its own. Existential unforgeability against adaptive chosen message attacks is widely considered as a standard security notion for digital signature, and threshold signature should also follow this accordingly. However, there are two special attack models in a threshold signature scheme: one is the static corruption attack and the other is the adaptive corruption attack. Since the adaptive corruption model appears to better capture real threats, designing and proving threshold signature schemes secure in the adaptive corruption model has been focused on in recent years. If a threshold signature is secure under adaptive chosen message attack and adaptive corruption attack, we say it is fully adaptively secure. In this paper, based on the dual pairing vector spaces technology, we construct a threshold signature scheme and use Gerbush et al.’s dual-form signatures technology to prove our scheme, which is fully adaptively secure in the standard model, and then compare it to other schemes in terms of the efficiency and computation.


2010 ◽  
Vol 5 (6) ◽  
Author(s):  
Jia Yu ◽  
Fanyu Kong ◽  
Xiangguo Cheng ◽  
Rong Hao ◽  
Yangkui Chen ◽  
...  

2019 ◽  
Vol 17 (3) ◽  
pp. 300
Author(s):  
Xiaoping Wang ◽  
Zhenhu Ning ◽  
Wei Wang ◽  
Yongli Yang

Author(s):  
Licheng Wang ◽  
Zhenfu Cao ◽  
Xiangxue Li ◽  
Haifeng Qian

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