{"id":"https://openalex.org/W1980619752","doi":"https://doi.org/10.1109/camad.2014.7033256","title":"Neural network based anomaly detection","display_name":"Neural network based anomaly detection","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1980619752","doi":"https://doi.org/10.1109/camad.2014.7033256","mag":"1980619752"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/camad.2014.7033256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5079097534","display_name":"Christian Callegari","orcid":"https://orcid.org/0000-0001-7323-8069"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"funder","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Christian Callegari","raw_affiliation_strings":["Dept. of Information Engineering, Univ. of Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, Univ. of Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021026284","display_name":"Stefano Giordano","orcid":"https://orcid.org/0000-0002-1408-7528"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"funder","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Giordano","raw_affiliation_strings":["Dept. of Information Engineering, Univ. of Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, Univ. of Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065635344","display_name":"Michele Pagano","orcid":"https://orcid.org/0000-0003-1706-4994"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"funder","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Pagano","raw_affiliation_strings":["Dept. of Information Engineering, Univ. of Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, Univ. of Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.231,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":9,"citation_normalized_percentile":{"value":0.69526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":85,"max":86},"biblio":{"volume":null,"issue":null,"first_page":"310","last_page":"314"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9999,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9993,"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/anomaly","display_name":"Anomaly (physics)","score":0.5280598},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5240462}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80448675},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7635422},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6417798},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5762055},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5343081},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5280598},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5240462},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49357808},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.46413442},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.42151368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41165194},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34317684},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/camad.2014.7033256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":21,"referenced_works":["https://openalex.org/W1515390491","https://openalex.org/W1965972569","https://openalex.org/W1976489824","https://openalex.org/W2002016471","https://openalex.org/W2026784425","https://openalex.org/W203307355","https://openalex.org/W2101399851","https://openalex.org/W2105818147","https://openalex.org/W2111160323","https://openalex.org/W2118846948","https://openalex.org/W2122646361","https://openalex.org/W2124776405","https://openalex.org/W2137560901","https://openalex.org/W2146163277","https://openalex.org/W2148506461","https://openalex.org/W2150517569","https://openalex.org/W2164210932","https://openalex.org/W28713011","https://openalex.org/W2896916590","https://openalex.org/W3138598418","https://openalex.org/W40890042"],"related_works":["https://openalex.org/W4377864969","https://openalex.org/W4300558037","https://openalex.org/W4290647774","https://openalex.org/W3210364259","https://openalex.org/W3207797160","https://openalex.org/W3189286258","https://openalex.org/W2972971679","https://openalex.org/W2912112202","https://openalex.org/W2806741695","https://openalex.org/W2667207928"],"abstract_inverted_index":{"Detecting":[0],"anomalous":[1,37,118],"traffic":[2,29,50,87],"with":[3,95],"low":[4,144],"false":[5,145],"alarm":[6,146],"rates":[7,147],"is":[8,20,67,101],"of":[9,28,46,62,83,86,108,116,124,137,143,155],"primary":[10],"interest":[11],"in":[12,131],"IP":[13],"networks":[14,48],"management.":[15],"To":[16],"this":[17,40,132],"aim":[18],"it":[19],"essential":[21],"to":[22,31,79,103,121],"distinguish":[23],"between":[24],"the":[25,44,54,60,81,84,92,106,109,113,122,135,138,156],"natural":[26],"variability":[27],"due":[30],"its":[32],"bursty":[33],"nature":[34,107],"and":[35,58,148],"attack-related":[36],"events.":[38],"In":[39],"paper":[41],"we":[42],"investigate":[43],"applicability":[45],"neural":[47],"for":[49,70,151],"prediction,":[51],"focusing":[52],"on":[53],"multilayer":[55],"feedforward":[56],"architecture":[57],"comparing":[59,91],"performance":[61,128],"different":[63,71],"back-propagation":[64],"algorithms.":[65],"Prediction":[66],"carried":[68],"out":[69],"random":[72],"aggregates":[73],"(obtained":[74],"through":[75],"reversible":[76,125],"sketches,":[77],"introduced":[78],"improve":[80],"scalability":[82],"solution)":[85],"flows":[88,119],"and,":[89],"after":[90],"prediction":[93],"error":[94],"a":[96,98],"threshold,":[97],"voting":[99],"procedure":[100],"used":[102],"decide":[104],"about":[105],"current":[110],"data":[111],"(with":[112],"additional":[114],"possibility":[115],"identifying":[117],"thanks":[120],"features":[123],"sketches).":[126],"The":[127],"analysis,":[129],"presented":[130],"paper,":[133],"demonstrates":[134],"effectiveness":[136],"proposed":[139],"method":[140],"(in":[141],"terms":[142],"convergence":[149],"speed)":[150],"an":[152],"adequate":[153],"choice":[154],"learning":[157],"algorithm.":[158]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1980619752","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-04-19T15:33:54.289411","created_date":"2016-06-24"}