INTELLIGENT SYSTEM FOR DETECTING MULTISTAGE ATTACKS
Provided herein are methods, systems, and computer program products for intelligent detection of multistage attacks which may arise in computer environments. Embodiments herein leverage adaptive graph-based machine-learning solutions that can incorporate rules as well as supervised learning for dete...
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 | ROY, Yogesh K MACE, Daniel L MAZUMDER, Anisha WITTENBERG, Craig Henry KUMAR, Ram Shankar Siva ZHAI, Haijun HARIKRISHNAN, Seetharaman |
| description | Provided herein are methods, systems, and computer program products for intelligent detection of multistage attacks which may arise in computer environments. Embodiments herein leverage adaptive graph-based machine-learning solutions that can incorporate rules as well as supervised learning for detecting multistage attacks. Multistage attacks and attack chains may be detected or identified by collecting data representing events, detections, and behaviors, determining relationships among various data, and analyzing the data and associated relationships. A graph of events, detections, and behaviors which are connected by edges representing relationships between nodes of the graph may be constructed and then subgraphs of the possibly enormous initial graph may be identified which represent likely attacks. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2020143052A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2020143052A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2020143052A13</originalsourceid><addsrcrecordid>eNrjZDD29Atx9fHxdHf1C1EIjgwOcfVVcPMPUnBxDXF1DvH0c1fwDfUJ8QwOcXR3VXAMCXF09g7mYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkYGhibGBqZGjobGxKkCAGD_KEA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>INTELLIGENT SYSTEM FOR DETECTING MULTISTAGE ATTACKS</title><source>esp@cenet</source><creator>ROY, Yogesh K ; MACE, Daniel L ; MAZUMDER, Anisha ; WITTENBERG, Craig Henry ; KUMAR, Ram Shankar Siva ; ZHAI, Haijun ; HARIKRISHNAN, Seetharaman</creator><creatorcontrib>ROY, Yogesh K ; MACE, Daniel L ; MAZUMDER, Anisha ; WITTENBERG, Craig Henry ; KUMAR, Ram Shankar Siva ; ZHAI, Haijun ; HARIKRISHNAN, Seetharaman</creatorcontrib><description>Provided herein are methods, systems, and computer program products for intelligent detection of multistage attacks which may arise in computer environments. Embodiments herein leverage adaptive graph-based machine-learning solutions that can incorporate rules as well as supervised learning for detecting multistage attacks. Multistage attacks and attack chains may be detected or identified by collecting data representing events, detections, and behaviors, determining relationships among various data, and analyzing the data and associated relationships. A graph of events, detections, and behaviors which are connected by edges representing relationships between nodes of the graph may be constructed and then subgraphs of the possibly enormous initial graph may be identified which represent likely attacks.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2020</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=20200507&DB=EPODOC&CC=US&NR=2020143052A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200507&DB=EPODOC&CC=US&NR=2020143052A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ROY, Yogesh K</creatorcontrib><creatorcontrib>MACE, Daniel L</creatorcontrib><creatorcontrib>MAZUMDER, Anisha</creatorcontrib><creatorcontrib>WITTENBERG, Craig Henry</creatorcontrib><creatorcontrib>KUMAR, Ram Shankar Siva</creatorcontrib><creatorcontrib>ZHAI, Haijun</creatorcontrib><creatorcontrib>HARIKRISHNAN, Seetharaman</creatorcontrib><title>INTELLIGENT SYSTEM FOR DETECTING MULTISTAGE ATTACKS</title><description>Provided herein are methods, systems, and computer program products for intelligent detection of multistage attacks which may arise in computer environments. Embodiments herein leverage adaptive graph-based machine-learning solutions that can incorporate rules as well as supervised learning for detecting multistage attacks. Multistage attacks and attack chains may be detected or identified by collecting data representing events, detections, and behaviors, determining relationships among various data, and analyzing the data and associated relationships. A graph of events, detections, and behaviors which are connected by edges representing relationships between nodes of the graph may be constructed and then subgraphs of the possibly enormous initial graph may be identified which represent likely attacks.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDD29Atx9fHxdHf1C1EIjgwOcfVVcPMPUnBxDXF1DvH0c1fwDfUJ8QwOcXR3VXAMCXF09g7mYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkYGhibGBqZGjobGxKkCAGD_KEA</recordid><startdate>20200507</startdate><enddate>20200507</enddate><creator>ROY, Yogesh K</creator><creator>MACE, Daniel L</creator><creator>MAZUMDER, Anisha</creator><creator>WITTENBERG, Craig Henry</creator><creator>KUMAR, Ram Shankar Siva</creator><creator>ZHAI, Haijun</creator><creator>HARIKRISHNAN, Seetharaman</creator><scope>EVB</scope></search><sort><creationdate>20200507</creationdate><title>INTELLIGENT SYSTEM FOR DETECTING MULTISTAGE ATTACKS</title><author>ROY, Yogesh K ; MACE, Daniel L ; MAZUMDER, Anisha ; WITTENBERG, Craig Henry ; KUMAR, Ram Shankar Siva ; ZHAI, Haijun ; HARIKRISHNAN, Seetharaman</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2020143052A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>ROY, Yogesh K</creatorcontrib><creatorcontrib>MACE, Daniel L</creatorcontrib><creatorcontrib>MAZUMDER, Anisha</creatorcontrib><creatorcontrib>WITTENBERG, Craig Henry</creatorcontrib><creatorcontrib>KUMAR, Ram Shankar Siva</creatorcontrib><creatorcontrib>ZHAI, Haijun</creatorcontrib><creatorcontrib>HARIKRISHNAN, Seetharaman</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ROY, Yogesh K</au><au>MACE, Daniel L</au><au>MAZUMDER, Anisha</au><au>WITTENBERG, Craig Henry</au><au>KUMAR, Ram Shankar Siva</au><au>ZHAI, Haijun</au><au>HARIKRISHNAN, Seetharaman</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>INTELLIGENT SYSTEM FOR DETECTING MULTISTAGE ATTACKS</title><date>2020-05-07</date><risdate>2020</risdate><abstract>Provided herein are methods, systems, and computer program products for intelligent detection of multistage attacks which may arise in computer environments. Embodiments herein leverage adaptive graph-based machine-learning solutions that can incorporate rules as well as supervised learning for detecting multistage attacks. Multistage attacks and attack chains may be detected or identified by collecting data representing events, detections, and behaviors, determining relationships among various data, and analyzing the data and associated relationships. A graph of events, detections, and behaviors which are connected by edges representing relationships between nodes of the graph may be constructed and then subgraphs of the possibly enormous initial graph may be identified which represent likely attacks.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US2020143052A1 |
| source | esp@cenet |
| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | INTELLIGENT SYSTEM FOR DETECTING MULTISTAGE ATTACKS |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T11%3A00%3A52IST&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=ROY,%20Yogesh%20K&rft.date=2020-05-07&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2020143052A1%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 |