Collaborative and adaptive threat intelligence for computer security
Collaborative and adaptive threat intelligence. Data collected on a first customer network is received. One or more local models are trained with at least the received data, where the one or more local models are related to security. An amount of data to transmit to a centralized controller is deter...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Patent |
Sprache: | 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 | Palkar, Prasad Shen, Min-yi Ramachandran, Sriram Wang, Jisheng |
description | Collaborative and adaptive threat intelligence. Data collected on a first customer network is received. One or more local models are trained with at least the received data, where the one or more local models are related to security. An amount of data to transmit to a centralized controller is determined based at least on a result of the training one or more local models and the determined amount of data is transmitted to the centralized controller. Result data is received from the centralized controller that is a result of one or more global models trained on the centralized controller using data collected on multiple customer networks including the first customer network. The one or more local models are adjusted using the received result data and the one or more adjusted local models are trained. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US10469514B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US10469514B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US10469514B23</originalsourceid><addsrcrecordid>eNrjZHBxzs_JSUzKL0osySxLVUjMS1FITEksAHNKMopSE0sUMvNKUnNyMtNT85JTFdLyixSS83MLSktSixSKU5NLizJLKnkYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSXxosKGBiZmlqaGJk5ExMWoAB44zrA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Collaborative and adaptive threat intelligence for computer security</title><source>esp@cenet</source><creator>Palkar, Prasad ; Shen, Min-yi ; Ramachandran, Sriram ; Wang, Jisheng</creator><creatorcontrib>Palkar, Prasad ; Shen, Min-yi ; Ramachandran, Sriram ; Wang, Jisheng</creatorcontrib><description>Collaborative and adaptive threat intelligence. Data collected on a first customer network is received. One or more local models are trained with at least the received data, where the one or more local models are related to security. An amount of data to transmit to a centralized controller is determined based at least on a result of the training one or more local models and the determined amount of data is transmitted to the centralized controller. Result data is received from the centralized controller that is a result of one or more global models trained on the centralized controller using data collected on multiple customer networks including the first customer network. The one or more local models are adjusted using the received result data and the one or more adjusted local models are trained.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRIC DIGITAL DATA PROCESSING ; ELECTRICITY ; PHYSICS ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2019</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=20191105&DB=EPODOC&CC=US&NR=10469514B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20191105&DB=EPODOC&CC=US&NR=10469514B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Palkar, Prasad</creatorcontrib><creatorcontrib>Shen, Min-yi</creatorcontrib><creatorcontrib>Ramachandran, Sriram</creatorcontrib><creatorcontrib>Wang, Jisheng</creatorcontrib><title>Collaborative and adaptive threat intelligence for computer security</title><description>Collaborative and adaptive threat intelligence. Data collected on a first customer network is received. One or more local models are trained with at least the received data, where the one or more local models are related to security. An amount of data to transmit to a centralized controller is determined based at least on a result of the training one or more local models and the determined amount of data is transmitted to the centralized controller. Result data is received from the centralized controller that is a result of one or more global models trained on the centralized controller using data collected on multiple customer networks including the first customer network. The one or more local models are adjusted using the received result data and the one or more adjusted local models are trained.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>ELECTRICITY</subject><subject>PHYSICS</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHBxzs_JSUzKL0osySxLVUjMS1FITEksAHNKMopSE0sUMvNKUnNyMtNT85JTFdLyixSS83MLSktSixSKU5NLizJLKnkYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSXxosKGBiZmlqaGJk5ExMWoAB44zrA</recordid><startdate>20191105</startdate><enddate>20191105</enddate><creator>Palkar, Prasad</creator><creator>Shen, Min-yi</creator><creator>Ramachandran, Sriram</creator><creator>Wang, Jisheng</creator><scope>EVB</scope></search><sort><creationdate>20191105</creationdate><title>Collaborative and adaptive threat intelligence for computer security</title><author>Palkar, Prasad ; Shen, Min-yi ; Ramachandran, Sriram ; Wang, Jisheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US10469514B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2019</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>ELECTRICITY</topic><topic>PHYSICS</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>Palkar, Prasad</creatorcontrib><creatorcontrib>Shen, Min-yi</creatorcontrib><creatorcontrib>Ramachandran, Sriram</creatorcontrib><creatorcontrib>Wang, Jisheng</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Palkar, Prasad</au><au>Shen, Min-yi</au><au>Ramachandran, Sriram</au><au>Wang, Jisheng</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Collaborative and adaptive threat intelligence for computer security</title><date>2019-11-05</date><risdate>2019</risdate><abstract>Collaborative and adaptive threat intelligence. Data collected on a first customer network is received. One or more local models are trained with at least the received data, where the one or more local models are related to security. An amount of data to transmit to a centralized controller is determined based at least on a result of the training one or more local models and the determined amount of data is transmitted to the centralized controller. Result data is received from the centralized controller that is a result of one or more global models trained on the centralized controller using data collected on multiple customer networks including the first customer network. The one or more local models are adjusted using the received result data and the one or more adjusted local models are trained.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_US10469514B2 |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
title | Collaborative and adaptive threat intelligence for computer security |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T21%3A24%3A11IST&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=Palkar,%20Prasad&rft.date=2019-11-05&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS10469514B2%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 |