{"id":"https://openalex.org/W2115941370","doi":"https://doi.org/10.1109/discex.2003.1194880","title":"Detecting novel scans through pattern anomaly detection","display_name":"Detecting novel scans through pattern anomaly detection","publication_year":2004,"publication_date":"2004-03-02","ids":{"openalex":"https://openalex.org/W2115941370","doi":"https://doi.org/10.1109/discex.2003.1194880","mag":"2115941370"},"language":"en","primary_location":{"id":"doi:10.1109/discex.2003.1194880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/discex.2003.1194880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings DARPA Information Survivability Conference and Exposition","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/A5106236107","display_name":"A. D. Valdes","orcid":null},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]},{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. Valdes","raw_affiliation_strings":["SRI International, Inc., USA","SRI Int., Princeton, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"SRI International, Inc., USA","institution_ids":["https://openalex.org/I1298353152"]},{"raw_affiliation_string":"SRI Int., Princeton, NJ, USA#TAB#","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5106236107"],"corresponding_institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":2.4907,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.90927553,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"140","last_page":"151"},"is_retracted":false,"is_paratext":false,"is_xpac":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":0.9991999864578247,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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-detection","display_name":"Anomaly detection","score":0.7994652986526489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7596017718315125},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.643016517162323},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5976012349128723},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5724707245826721},{"id":"https://openalex.org/keywords/alphabet","display_name":"Alphabet","score":0.5417455434799194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5283366441726685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4350120425224304},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.429293155670166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37932518124580383}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7994652986526489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7596017718315125},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.643016517162323},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5976012349128723},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5724707245826721},{"id":"https://openalex.org/C112876837","wikidata":"https://www.wikidata.org/wiki/Q837518","display_name":"Alphabet","level":2,"score":0.5417455434799194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5283366441726685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4350120425224304},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.429293155670166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37932518124580383},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/discex.2003.1194880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/discex.2003.1194880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings DARPA Information Survivability Conference and Exposition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.129.7001","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.7001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.fit.edu/~pkc/id/related/valdes-discex03.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1490454746","https://openalex.org/W1524704912","https://openalex.org/W1566480186","https://openalex.org/W1623080549","https://openalex.org/W1884606608","https://openalex.org/W1943665722","https://openalex.org/W1952056635","https://openalex.org/W2049633694","https://openalex.org/W2095979141","https://openalex.org/W2125735062","https://openalex.org/W2129860818","https://openalex.org/W2134070140","https://openalex.org/W2143776233","https://openalex.org/W2166559705","https://openalex.org/W3129711340","https://openalex.org/W3136767761","https://openalex.org/W4400445037","https://openalex.org/W6631241307","https://openalex.org/W6633944860","https://openalex.org/W6636468958","https://openalex.org/W6639223989"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"We":[0,85,111],"introduce":[1],"a":[2,9,17,77,159],"technique":[3,88],"for":[4],"detecting":[5],"anomalous":[6,70],"patterns":[7,91,104,124,133],"in":[8,30,48,92,106],"categorical":[10],"feature":[11],"(one":[12],"that":[13,31,49,131,171],"takes":[14],"values":[15],"from":[16,22],"finite":[18],"alphabet).":[19],"It":[20],"differs":[21],"most":[23],"anomaly":[24,166],"detection":[25],"methods":[26,44],"used":[27],"to":[28,46,58,89,163],"date":[29],"it":[32,40,50,54,63],"does":[33],"not":[34,66,149],"require":[35],"attack-free":[36],"training":[37],"data,":[38],"and":[39,62,69,101,108,122,167],"improves":[41],"upon":[42],"previous":[43],"known":[45],"us":[47],"is":[51,55,182],"aware":[52],"when":[53],"adequately":[56],"trained":[57],"generate":[59,134,150],"meaningful":[60],"alerts,":[61],"models":[64],"data":[65],"as":[67,72],"normal":[68],"but":[71],"falling":[73],"into":[74],"one":[75],"of":[76,79,125],"number":[78],"modes":[80],"discovered":[81],"by":[82],"competitive":[83],"learning.":[84],"apply":[86],"the":[87,98,115,172],"port":[90,99],"TCP":[93],"sessions":[94],"(the":[95],"alphabet":[96],"being":[97],"numbers)":[100],"highlight":[102],"interesting":[103],"detected":[105],"simulated":[107],"real":[109],"traffic.":[110],"propose":[112],"extensions":[113],"where":[114],"learned":[116],"pattern":[117],"library":[118],"can":[119,127],"be":[120,128],"seeded":[121],"some":[123],"interest":[126],"labeled,":[129],"so":[130],"certain":[132],"an":[135],"alert":[136],"no":[137],"matter":[138],"how":[139],"frequently":[140],"they":[141],"are":[142],"observed,":[143],"while":[144],"others":[145],"labeled":[146],"benign":[147],"do":[148],"alerts":[151],"even":[152],"if":[153],"rarely":[154],"seen.":[155],"Finally,":[156],"we":[157],"outline":[158],"hybrid":[160],"system":[161],"approach":[162,179],"closely":[164],"integrate":[165],"misuse":[168],"detection,":[169],"arguing":[170],"historical":[173],"dichotomy":[174],"with":[175],"which":[176],"many":[177],"researchers":[178],"these":[180],"techniques":[181],"now":[183],"artificial.":[184]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}