Analysis of super-long and sparse feature in pseudo-random sequence based on similarity
Similarity analysis of pseudo-random sequence in wireless communication networks is a research hotspot problem in the domain of information warfare.Based on the difficulties in super-long sequence,extremely sparse feature,and futilities in engineering application for real-time processing exist in si...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016243/ |
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| _version_ | 1841539534506950656 |
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| author | Chun-jie CAO Jing-zhang SUN Zhi-qiang ZHANG Long-juan WANG Meng-xing HUANG |
| author_facet | Chun-jie CAO Jing-zhang SUN Zhi-qiang ZHANG Long-juan WANG Meng-xing HUANG |
| author_sort | Chun-jie CAO |
| collection | DOAJ |
| description | Similarity analysis of pseudo-random sequence in wireless communication networks is a research hotspot problem in the domain of information warfare.Based on the difficulties in super-long sequence,extremely sparse feature,and futilities in engineering application for real-time processing exist in similarity analysis of sequence in wireless net-work,a method of similarity analysis of sequence in a certain margin of misacceptance probability was proposed.Firstly,the similarity probability distribution of real-random sequence was theoretically analyzed.Secondly,according to the standard of NIST SP 800-22,the randomness of pseudo-bitstream was analyzed and the validity of pseudo-bitstream was judged.Finally,similarity was analyzed and verified by combining super-long pseudo-random sequence in real wireless communication networks.The results indicate that the lower bound of similarity value is 0.62 when misacceptance prob-ability uncertainty at about 1%.Above conclusion is considerable importance from the significance and theoretical values in network security domains,such as protocol analysis,traffic analysis,intrusion detection and others. |
| format | Article |
| id | doaj-art-c43e93aa8d924f0481a5cece220a23fc |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-c43e93aa8d924f0481a5cece220a23fc2025-01-14T07:11:06ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-10-0137252959705661Analysis of super-long and sparse feature in pseudo-random sequence based on similarityChun-jie CAOJing-zhang SUNZhi-qiang ZHANGLong-juan WANGMeng-xing HUANGSimilarity analysis of pseudo-random sequence in wireless communication networks is a research hotspot problem in the domain of information warfare.Based on the difficulties in super-long sequence,extremely sparse feature,and futilities in engineering application for real-time processing exist in similarity analysis of sequence in wireless net-work,a method of similarity analysis of sequence in a certain margin of misacceptance probability was proposed.Firstly,the similarity probability distribution of real-random sequence was theoretically analyzed.Secondly,according to the standard of NIST SP 800-22,the randomness of pseudo-bitstream was analyzed and the validity of pseudo-bitstream was judged.Finally,similarity was analyzed and verified by combining super-long pseudo-random sequence in real wireless communication networks.The results indicate that the lower bound of similarity value is 0.62 when misacceptance prob-ability uncertainty at about 1%.Above conclusion is considerable importance from the significance and theoretical values in network security domains,such as protocol analysis,traffic analysis,intrusion detection and others.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016243/pseudo-random sequencesimilaritysparse featuresuper-long feature |
| spellingShingle | Chun-jie CAO Jing-zhang SUN Zhi-qiang ZHANG Long-juan WANG Meng-xing HUANG Analysis of super-long and sparse feature in pseudo-random sequence based on similarity Tongxin xuebao pseudo-random sequence similarity sparse feature super-long feature |
| title | Analysis of super-long and sparse feature in pseudo-random sequence based on similarity |
| title_full | Analysis of super-long and sparse feature in pseudo-random sequence based on similarity |
| title_fullStr | Analysis of super-long and sparse feature in pseudo-random sequence based on similarity |
| title_full_unstemmed | Analysis of super-long and sparse feature in pseudo-random sequence based on similarity |
| title_short | Analysis of super-long and sparse feature in pseudo-random sequence based on similarity |
| title_sort | analysis of super long and sparse feature in pseudo random sequence based on similarity |
| topic | pseudo-random sequence similarity sparse feature super-long feature |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016243/ |
| work_keys_str_mv | AT chunjiecao analysisofsuperlongandsparsefeatureinpseudorandomsequencebasedonsimilarity AT jingzhangsun analysisofsuperlongandsparsefeatureinpseudorandomsequencebasedonsimilarity AT zhiqiangzhang analysisofsuperlongandsparsefeatureinpseudorandomsequencebasedonsimilarity AT longjuanwang analysisofsuperlongandsparsefeatureinpseudorandomsequencebasedonsimilarity AT mengxinghuang analysisofsuperlongandsparsefeatureinpseudorandomsequencebasedonsimilarity |