{"id":"https://openalex.org/W2605782046","doi":"https://doi.org/10.3233/jhs-170560","title":"Cyber attack prediction using social\u00a0data\u00a0analysis","display_name":"Cyber attack prediction using social\u00a0data\u00a0analysis","publication_year":2017,"publication_date":"2017-04-12","ids":{"openalex":"https://openalex.org/W2605782046","doi":"https://doi.org/10.3233/jhs-170560","mag":"2605782046"},"language":"en","primary_location":{"id":"doi:10.3233/jhs-170560","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jhs-170560","pdf_url":null,"source":{"id":"https://openalex.org/S133922704","display_name":"Journal of High Speed Networks","issn_l":"0926-6801","issn":["0926-6801","1875-8940"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of High Speed Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075848800","display_name":"Munkhdorj Baatarsuren","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Baatarsuren Munkhdorj","raw_affiliation_strings":["Graduate School of Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan. E-mails:\u00a0m.baatarsuren@m.cnl.t.u-tokyo.ac.jp,\u00a0sekiya@nc.u-tokyo.ac.jp"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan. E-mails:\u00a0m.baatarsuren@m.cnl.t.u-tokyo.ac.jp,\u00a0sekiya@nc.u-tokyo.ac.jp","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051344662","display_name":"Yuji Sekiya","orcid":"https://orcid.org/0009-0006-6287-9606"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sekiya Yuji","raw_affiliation_strings":["Graduate School of Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan. E-mails:\u00a0m.baatarsuren@m.cnl.t.u-tokyo.ac.jp,\u00a0sekiya@nc.u-tokyo.ac.jp"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan. E-mails:\u00a0m.baatarsuren@m.cnl.t.u-tokyo.ac.jp,\u00a0sekiya@nc.u-tokyo.ac.jp","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075848800"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":1.4504,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84024047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"23","issue":"2","first_page":"109","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10734","display_name":"Information and Cyber Security","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8244838714599609},{"id":"https://openalex.org/keywords/cyber-attack","display_name":"Cyber-attack","score":0.7690004110336304},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.5820876359939575},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.564976692199707},{"id":"https://openalex.org/keywords/countermeasure","display_name":"Countermeasure","score":0.4785395562648773},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.4750549793243408},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4656451642513275},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.44675564765930176},{"id":"https://openalex.org/keywords/cyber-threats","display_name":"Cyber threats","score":0.4416452646255493},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4348442256450653},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.4217597246170044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31576937437057495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8244838714599609},{"id":"https://openalex.org/C201307755","wikidata":"https://www.wikidata.org/wiki/Q4071928","display_name":"Cyber-attack","level":2,"score":0.7690004110336304},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.5820876359939575},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.564976692199707},{"id":"https://openalex.org/C21593369","wikidata":"https://www.wikidata.org/wiki/Q1032176","display_name":"Countermeasure","level":2,"score":0.4785395562648773},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.4750549793243408},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4656451642513275},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.44675564765930176},{"id":"https://openalex.org/C3018725008","wikidata":"https://www.wikidata.org/wiki/Q4071928","display_name":"Cyber threats","level":2,"score":0.4416452646255493},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4348442256450653},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.4217597246170044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31576937437057495},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jhs-170560","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jhs-170560","pdf_url":null,"source":{"id":"https://openalex.org/S133922704","display_name":"Journal of High Speed Networks","issn_l":"0926-6801","issn":["0926-6801","1875-8940"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of High Speed Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315716","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1485123848","https://openalex.org/W1488666543","https://openalex.org/W1522301498","https://openalex.org/W1524203405","https://openalex.org/W1559611566","https://openalex.org/W1670923411","https://openalex.org/W1707806712","https://openalex.org/W1888005072","https://openalex.org/W2005604419","https://openalex.org/W2011430131","https://openalex.org/W2012649175","https://openalex.org/W2037027324","https://openalex.org/W2061796027","https://openalex.org/W2095655043","https://openalex.org/W2141790691","https://openalex.org/W2147343274","https://openalex.org/W2153579005","https://openalex.org/W2153635508","https://openalex.org/W2158899491","https://openalex.org/W2162010436","https://openalex.org/W2171468534","https://openalex.org/W2312649565","https://openalex.org/W2526080749","https://openalex.org/W2540806623","https://openalex.org/W2543479447","https://openalex.org/W2949300694","https://openalex.org/W2952230511","https://openalex.org/W3105705953","https://openalex.org/W4285719527","https://openalex.org/W6683738474"],"related_works":["https://openalex.org/W2358245908","https://openalex.org/W2803684864","https://openalex.org/W2974890647","https://openalex.org/W3215166534","https://openalex.org/W4385452087","https://openalex.org/W3205687007","https://openalex.org/W4321484089","https://openalex.org/W2296060994","https://openalex.org/W4304097726","https://openalex.org/W3098102491"],"abstract_inverted_index":{"The":[0,146],"most":[1],"common":[2],"methods":[3],"used":[4,92,142],"in":[5],"cyber":[6,27,36,45,50,76,85,116,125,134],"attack":[7,28,37,77,86,117,126,135],"detection":[8],"are":[9],"signature":[10,34],"scan":[11],"and":[12,55,79,103,162],"anomaly":[13,40],"detection.":[14],"In":[15],"the":[16,68,73,82,88,94,104,109,119,131,137,144,149,156,160,167],"case":[17],"of":[18,35,75,84,133,148],"applying":[19],"these":[20],"approaches,":[21],"a":[22,33,97,115],"countermeasure":[23],"against":[24],"an":[25,39],"upcoming":[26],"is":[29,41],"made":[30],"only":[31],"if":[32],"or":[38,118],"detected.":[42],"That":[43],"means":[44],"defense":[46],"systems":[47],"encoun":[48],"ter":[49],"attacks":[51],"with":[52],"no":[53],"preparation,":[54],"our":[56],"study":[57],"focuses":[58],"on":[59],"this":[60],"problem.":[61],"This":[62],"time,":[63],"we":[64],"attempt":[65],"to":[66,114,124],"discover":[67],"useful":[69],"social":[70],"data":[71],"for":[72],"prediction":[74,83,132,150,168],"motivation":[78],"opportunity.":[80],"For":[81,130],"motivation,":[87],"news":[89,110,120],"articles":[90,111,121],"were":[91,141],"as":[93,143,159,166],"dataset.":[95,145],"As":[96],"result,":[98],"using":[99,155],"Artificial":[100,163],"Neural":[101,164],"Networks":[102,165],"core":[105,157],"keywords":[106,158],"extracted":[107],"from":[108],"directly":[112],"correlated":[113,123],"not":[122],"brought":[127],"better":[128,153],"precision/recall.":[129],"opportunity,":[136],"security":[138],"vulnerability":[139],"feeds":[140],"precision/recall":[147],"result":[151],"was":[152],"when":[154],"feature":[161],"algorithm.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}