{"id":"https://openalex.org/W2765608980","doi":"https://doi.org/10.1145/3133956.3138834","title":"POSTER","display_name":"POSTER","publication_year":2017,"publication_date":"2017-10-27","ids":{"openalex":"https://openalex.org/W2765608980","doi":"https://doi.org/10.1145/3133956.3138834","mag":"2765608980"},"language":"en","primary_location":{"id":"doi:10.1145/3133956.3138834","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3133956.3138834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-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/A5040805050","display_name":"Ahmet Okutan","orcid":"https://orcid.org/0000-0001-6664-515X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ahmet Okutan","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007151854","display_name":"Gordon Werner","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gordon Werner","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071531819","display_name":"Katie McConky","orcid":"https://orcid.org/0000-0002-8280-1105"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katie McConky","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022627080","display_name":"Shanchieh Jay Yang","orcid":"https://orcid.org/0009-0004-5503-2082"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shanchieh Jay Yang","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040805050"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":1.562,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87580327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2563","last_page":"2565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9611999988555908,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9574000239372253,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.8251743316650391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7358492612838745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5396125316619873},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5373377799987793},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4980432987213135},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4223438501358032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4162462055683136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3474242687225342},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3436492681503296},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.34227004647254944},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15706714987754822}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.8251743316650391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7358492612838745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5396125316619873},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5373377799987793},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4980432987213135},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4223438501358032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4162462055683136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3474242687225342},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3436492681503296},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.34227004647254944},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15706714987754822},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3133956.3138834","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3133956.3138834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2120618638","https://openalex.org/W2133990480","https://openalex.org/W2148143831","https://openalex.org/W2270414365","https://openalex.org/W2605782046","https://openalex.org/W2605817989","https://openalex.org/W2606833268"],"related_works":["https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369","https://openalex.org/W2974356760","https://openalex.org/W4312309719","https://openalex.org/W4313123484","https://openalex.org/W2146461990","https://openalex.org/W4200142652","https://openalex.org/W1527014014"],"abstract_inverted_index":{"This":[0],"paper":[1],"outlines":[2],"the":[3,42,60,77,98,101],"design,":[4],"implementation":[5],"and":[6,31,35,64,97],"evaluation":[7],"of":[8,25,38,80,100],"CAPTURE":[9,96],"-":[10],"a":[11,22,36,73],"novel":[12],"automated,":[13],"continuously":[14],"working":[15],"cyber":[16,93],"attack":[17,82],"forecast":[18,91,106],"system.":[19],"It":[20],"uses":[21],"broad":[23],"range":[24],"unconventional":[26],"signals":[27,39,68],"from":[28],"various":[29],"public":[30],"private":[32],"data":[33],"sources":[34],"set":[37],"forecasted":[40],"via":[41],"Auto-Regressive":[43],"Integrated":[44],"Moving":[45],"Average":[46],"(ARIMA)":[47],"model.":[48],"While":[49],"generating":[50],"signals,":[51],"auto":[52],"cross":[53],"correlation":[54],"is":[55,88],"used":[56,70],"to":[57,71,90],"find":[58],"out":[59],"optimum":[61],"signal":[62],"aggregation":[63],"lead":[65,102],"times.":[66],"Generated":[67],"are":[69],"train":[72],"Bayesian":[74],"classifier":[75],"against":[76],"ground":[78],"truth":[79],"each":[81],"type.":[83],"We":[84],"show":[85],"that":[86],"it":[87],"possible":[89],"future":[92],"incidents":[94],"using":[95],"consideration":[99],"time":[103],"could":[104],"improve":[105],"performance.":[107]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2017-11-10T00:00:00"}