AUTOMATICALLY GENERATING A FINGERPRINT PREVALENCE DATABASE WITHOUT GROUND TRUTH
Techniques and mechanisms for using passively collected network data to automatically generate a fingerprint prevalence database without the need for endpoint ground truth. The process first clusters all observations with the same fingerprint string and similar source and destination context. The pr...
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 | Anderson, Blake Harrell McGrew, David Arthur |
description | Techniques and mechanisms for using passively collected network data to automatically generate a fingerprint prevalence database without the need for endpoint ground truth. The process first clusters all observations with the same fingerprint string and similar source and destination context. The process then annotates each cluster with descriptive information and uses a rule-based system to derive an informative name from that descriptive information, e.g., "winnt amp client" or "cross-platform browser". Optionally, the learned database may be augmented by a user to clarify custom process labels. Additionally, the generated database may be used to report the inferred processes in the same way as databases generated with endpoint ground truth. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2022360606A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2022360606A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2022360606A13</originalsourceid><addsrcrecordid>eNqNirEKwjAUALM4iPoPD5yFmoL7M31NAjEp6UvFqRSJk2ih_j9m8APkhuPg1iJg4nBBtgqdu4EmT7GU14DQFlHsovUMXaQBHXlF0CDjGXuCq2UTEoOOIfkGOCY2W7F6TM8l737eiH1LrMwhz-8xL_N0z6_8GVMvKynrU1XAY_3f9QU23TAa</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>AUTOMATICALLY GENERATING A FINGERPRINT PREVALENCE DATABASE WITHOUT GROUND TRUTH</title><source>esp@cenet</source><creator>Anderson, Blake Harrell ; McGrew, David Arthur</creator><creatorcontrib>Anderson, Blake Harrell ; McGrew, David Arthur</creatorcontrib><description>Techniques and mechanisms for using passively collected network data to automatically generate a fingerprint prevalence database without the need for endpoint ground truth. The process first clusters all observations with the same fingerprint string and similar source and destination context. The process then annotates each cluster with descriptive information and uses a rule-based system to derive an informative name from that descriptive information, e.g., "winnt amp client" or "cross-platform browser". Optionally, the learned database may be augmented by a user to clarify custom process labels. Additionally, the generated database may be used to report the inferred processes in the same way as databases generated with endpoint ground truth.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2022</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=20221110&DB=EPODOC&CC=US&NR=2022360606A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221110&DB=EPODOC&CC=US&NR=2022360606A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Anderson, Blake Harrell</creatorcontrib><creatorcontrib>McGrew, David Arthur</creatorcontrib><title>AUTOMATICALLY GENERATING A FINGERPRINT PREVALENCE DATABASE WITHOUT GROUND TRUTH</title><description>Techniques and mechanisms for using passively collected network data to automatically generate a fingerprint prevalence database without the need for endpoint ground truth. The process first clusters all observations with the same fingerprint string and similar source and destination context. The process then annotates each cluster with descriptive information and uses a rule-based system to derive an informative name from that descriptive information, e.g., "winnt amp client" or "cross-platform browser". Optionally, the learned database may be augmented by a user to clarify custom process labels. Additionally, the generated database may be used to report the inferred processes in the same way as databases generated with endpoint ground truth.</description><subject>CALCULATING</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>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNirEKwjAUALM4iPoPD5yFmoL7M31NAjEp6UvFqRSJk2ih_j9m8APkhuPg1iJg4nBBtgqdu4EmT7GU14DQFlHsovUMXaQBHXlF0CDjGXuCq2UTEoOOIfkGOCY2W7F6TM8l737eiH1LrMwhz-8xL_N0z6_8GVMvKynrU1XAY_3f9QU23TAa</recordid><startdate>20221110</startdate><enddate>20221110</enddate><creator>Anderson, Blake Harrell</creator><creator>McGrew, David Arthur</creator><scope>EVB</scope></search><sort><creationdate>20221110</creationdate><title>AUTOMATICALLY GENERATING A FINGERPRINT PREVALENCE DATABASE WITHOUT GROUND TRUTH</title><author>Anderson, Blake Harrell ; McGrew, David Arthur</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2022360606A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2022</creationdate><topic>CALCULATING</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>Anderson, Blake Harrell</creatorcontrib><creatorcontrib>McGrew, David Arthur</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Anderson, Blake Harrell</au><au>McGrew, David Arthur</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>AUTOMATICALLY GENERATING A FINGERPRINT PREVALENCE DATABASE WITHOUT GROUND TRUTH</title><date>2022-11-10</date><risdate>2022</risdate><abstract>Techniques and mechanisms for using passively collected network data to automatically generate a fingerprint prevalence database without the need for endpoint ground truth. The process first clusters all observations with the same fingerprint string and similar source and destination context. The process then annotates each cluster with descriptive information and uses a rule-based system to derive an informative name from that descriptive information, e.g., "winnt amp client" or "cross-platform browser". Optionally, the learned database may be augmented by a user to clarify custom process labels. Additionally, the generated database may be used to report the inferred processes in the same way as databases generated with endpoint ground truth.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_US2022360606A1 |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | AUTOMATICALLY GENERATING A FINGERPRINT PREVALENCE DATABASE WITHOUT GROUND TRUTH |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T13%3A21%3A44IST&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=Anderson,%20Blake%20Harrell&rft.date=2022-11-10&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2022360606A1%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 |