A poisoning attack method for electromagnetic signal modulation type identification based on a pure label
A poisoning attack method for electromagnetic signal modulation type identification based on a pure label comprises the following steps: firstly, building an electromagnetic signal classification model, and enabling an electromagnetic signal data set to predict and identify a modulation type with hi...
Gespeichert in:
Hauptverfasser: | , , , , , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | XU DONGWEI LU RUNCHUN LUO KANG FANG RUOCHEN CHEN LIN GU CHUNTAO |
description | A poisoning attack method for electromagnetic signal modulation type identification based on a pure label comprises the following steps: firstly, building an electromagnetic signal classification model, and enabling an electromagnetic signal data set to predict and identify a modulation type with high precision; adopting a pure label poisoning attack method, generating a poisoning sample by searching a sample similar to the feature space of the target sample; finally, using a forward and backward splitting iteration method for optimization, and after an optimal poisoning sample is generated, using transfer learning for retraining the classification network; finally, enabling the classification model to generate misclassification, so that a poisoning attack effect is achieved. According to the poisoning attack method for electromagnetic signal modulation type identification based on a pure label, the poisoning attack can be carried out under the condition that training data does not need to be known and only a |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN113378910A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN113378910A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN113378910A3</originalsourceid><addsrcrecordid>eNqNjTEKwkAQRdNYiHqH8QCCIYVahqBYWdnLZPcnDm52luyk8PYG9ABW__F48JeF1JRUskaJPbEZuxcNsKd66nQkBDgbdeA-wsRRlj5yoEH9FNhEI9k7gcQjmnTivq7lDE8zMKVpBAVuEdbFouOQsfntqthezvfmukPSB3Jih_nj0dzKsqoOx1O5r6t_mg9udEDe</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>A poisoning attack method for electromagnetic signal modulation type identification based on a pure label</title><source>esp@cenet</source><creator>XU DONGWEI ; LU RUNCHUN ; LUO KANG ; FANG RUOCHEN ; CHEN LIN ; GU CHUNTAO</creator><creatorcontrib>XU DONGWEI ; LU RUNCHUN ; LUO KANG ; FANG RUOCHEN ; CHEN LIN ; GU CHUNTAO</creatorcontrib><description>A poisoning attack method for electromagnetic signal modulation type identification based on a pure label comprises the following steps: firstly, building an electromagnetic signal classification model, and enabling an electromagnetic signal data set to predict and identify a modulation type with high precision; adopting a pure label poisoning attack method, generating a poisoning sample by searching a sample similar to the feature space of the target sample; finally, using a forward and backward splitting iteration method for optimization, and after an optimal poisoning sample is generated, using transfer learning for retraining the classification network; finally, enabling the classification model to generate misclassification, so that a poisoning attack effect is achieved. According to the poisoning attack method for electromagnetic signal modulation type identification based on a pure label, the poisoning attack can be carried out under the condition that training data does not need to be known and only a</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210910&DB=EPODOC&CC=CN&NR=113378910A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25544,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210910&DB=EPODOC&CC=CN&NR=113378910A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>XU DONGWEI</creatorcontrib><creatorcontrib>LU RUNCHUN</creatorcontrib><creatorcontrib>LUO KANG</creatorcontrib><creatorcontrib>FANG RUOCHEN</creatorcontrib><creatorcontrib>CHEN LIN</creatorcontrib><creatorcontrib>GU CHUNTAO</creatorcontrib><title>A poisoning attack method for electromagnetic signal modulation type identification based on a pure label</title><description>A poisoning attack method for electromagnetic signal modulation type identification based on a pure label comprises the following steps: firstly, building an electromagnetic signal classification model, and enabling an electromagnetic signal data set to predict and identify a modulation type with high precision; adopting a pure label poisoning attack method, generating a poisoning sample by searching a sample similar to the feature space of the target sample; finally, using a forward and backward splitting iteration method for optimization, and after an optimal poisoning sample is generated, using transfer learning for retraining the classification network; finally, enabling the classification model to generate misclassification, so that a poisoning attack effect is achieved. According to the poisoning attack method for electromagnetic signal modulation type identification based on a pure label, the poisoning attack can be carried out under the condition that training data does not need to be known and only a</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjTEKwkAQRdNYiHqH8QCCIYVahqBYWdnLZPcnDm52luyk8PYG9ABW__F48JeF1JRUskaJPbEZuxcNsKd66nQkBDgbdeA-wsRRlj5yoEH9FNhEI9k7gcQjmnTivq7lDE8zMKVpBAVuEdbFouOQsfntqthezvfmukPSB3Jih_nj0dzKsqoOx1O5r6t_mg9udEDe</recordid><startdate>20210910</startdate><enddate>20210910</enddate><creator>XU DONGWEI</creator><creator>LU RUNCHUN</creator><creator>LUO KANG</creator><creator>FANG RUOCHEN</creator><creator>CHEN LIN</creator><creator>GU CHUNTAO</creator><scope>EVB</scope></search><sort><creationdate>20210910</creationdate><title>A poisoning attack method for electromagnetic signal modulation type identification based on a pure label</title><author>XU DONGWEI ; LU RUNCHUN ; LUO KANG ; FANG RUOCHEN ; CHEN LIN ; GU CHUNTAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113378910A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>XU DONGWEI</creatorcontrib><creatorcontrib>LU RUNCHUN</creatorcontrib><creatorcontrib>LUO KANG</creatorcontrib><creatorcontrib>FANG RUOCHEN</creatorcontrib><creatorcontrib>CHEN LIN</creatorcontrib><creatorcontrib>GU CHUNTAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>XU DONGWEI</au><au>LU RUNCHUN</au><au>LUO KANG</au><au>FANG RUOCHEN</au><au>CHEN LIN</au><au>GU CHUNTAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>A poisoning attack method for electromagnetic signal modulation type identification based on a pure label</title><date>2021-09-10</date><risdate>2021</risdate><abstract>A poisoning attack method for electromagnetic signal modulation type identification based on a pure label comprises the following steps: firstly, building an electromagnetic signal classification model, and enabling an electromagnetic signal data set to predict and identify a modulation type with high precision; adopting a pure label poisoning attack method, generating a poisoning sample by searching a sample similar to the feature space of the target sample; finally, using a forward and backward splitting iteration method for optimization, and after an optimal poisoning sample is generated, using transfer learning for retraining the classification network; finally, enabling the classification model to generate misclassification, so that a poisoning attack effect is achieved. According to the poisoning attack method for electromagnetic signal modulation type identification based on a pure label, the poisoning attack can be carried out under the condition that training data does not need to be known and only a</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN113378910A |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | A poisoning attack method for electromagnetic signal modulation type identification based on a pure label |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T04%3A07%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=XU%20DONGWEI&rft.date=2021-09-10&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN113378910A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |