|
|
|
|
|
Dongsik Jo and Jin-Ho Chung
In distributed learning for data requiring privacy preservation, such as medical data, the distribution of secret information is an important problem. In this paper, we propose a framework for secret codes in application to distributed systems. Then, we ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiyuan Tan, Limin Zhang and Zhaogen Zhong
Aiming to solve the problem of the distinction of scrambled linear block codes, a method for identifying the scrambling types of linear block codes by combining correlation features and convolution long short-term memory neural networks is proposed in th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dean Crnkovic, Andrea ?vob and Vladimir D. Tonchev
A generalization of Ding?s construction is proposed that employs as a defining set the collection of the sth powers (??=2
s
=
2
) of all nonzero elements in ????(????)
G
F
(
p
m
)
, where ??=2
p
=
2
is prime. Some of the resulting codes are optimal or n...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marco Baldi, Alessandro Barenghi, Franco Chiaraluce, Gerardo Pelosi and Paolo Santini
Decoding of random linear block codes has been long exploited as a computationally hard problem on which it is possible to build secure asymmetric cryptosystems. In particular, both correcting an error-affected codeword, and deriving the error vector cor...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hagen, R; Hedelin, P
Pág. 200 - 218
|
|
|
|
|
|