Novel blind recognition method for self-synchronized scrambler

In non-cooperative communication systems,an adversary has to blindly estimate the coding parameters of scrambler from intercepted sequence.On the condition biased information source,a new method was proposed which can blindly recover the generating polynomial of self-synchronized scrambler.This meth...

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Main Authors: Hong-shu LIAO, Ye YUAN, Lu GAN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0136-08/
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author Hong-shu LIAO
Ye YUAN
Lu GAN
author_facet Hong-shu LIAO
Ye YUAN
Lu GAN
author_sort Hong-shu LIAO
collection DOAJ
description In non-cooperative communication systems,an adversary has to blindly estimate the coding parameters of scrambler from intercepted sequence.On the condition biased information source,a new method was proposed which can blindly recover the generating polynomial of self-synchronized scrambler.This method was based on the corrected squared Euclidean distance which was used to measure the distance between the actual stat ical probability and the uniform distribution.The simulation results verify the theory analysis and the validity of the algorithm.
format Article
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institution Kabale University
issn 1000-436X
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publishDate 2013-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-a4a5a889588946d0a606ce0e235609d32025-01-14T06:34:12ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-01-013413614359668463Novel blind recognition method for self-synchronized scramblerHong-shu LIAOYe YUANLu GANIn non-cooperative communication systems,an adversary has to blindly estimate the coding parameters of scrambler from intercepted sequence.On the condition biased information source,a new method was proposed which can blindly recover the generating polynomial of self-synchronized scrambler.This method was based on the corrected squared Euclidean distance which was used to measure the distance between the actual stat ical probability and the uniform distribution.The simulation results verify the theory analysis and the validity of the algorithm.http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0136-08/self-synchronized scramblerblind recognitionbiased characteristic of the state of bitscorrected squared Euclidean distance
spellingShingle Hong-shu LIAO
Ye YUAN
Lu GAN
Novel blind recognition method for self-synchronized scrambler
Tongxin xuebao
self-synchronized scrambler
blind recognition
biased characteristic of the state of bits
corrected squared Euclidean distance
title Novel blind recognition method for self-synchronized scrambler
title_full Novel blind recognition method for self-synchronized scrambler
title_fullStr Novel blind recognition method for self-synchronized scrambler
title_full_unstemmed Novel blind recognition method for self-synchronized scrambler
title_short Novel blind recognition method for self-synchronized scrambler
title_sort novel blind recognition method for self synchronized scrambler
topic self-synchronized scrambler
blind recognition
biased characteristic of the state of bits
corrected squared Euclidean distance
url http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0136-08/
work_keys_str_mv AT hongshuliao novelblindrecognitionmethodforselfsynchronizedscrambler
AT yeyuan novelblindrecognitionmethodforselfsynchronizedscrambler
AT lugan novelblindrecognitionmethodforselfsynchronizedscrambler