{"id":"https://openalex.org/W2553815116","doi":"https://doi.org/10.1109/iscit.2016.7751626","title":"A deep learning-based RNNs model for automatic security audit of short messages","display_name":"A deep learning-based RNNs model for automatic security audit of short messages","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2553815116","doi":"https://doi.org/10.1109/iscit.2016.7751626","mag":"2553815116"},"language":"en","primary_location":{"id":"doi:10.1109/iscit.2016.7751626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2016.7751626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","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/A5103722500","display_name":"Lina You","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina You","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704700","display_name":"Yujun Li","orcid":"https://orcid.org/0000-0003-4455-5991"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujun Li","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371984","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-0278-2347"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436780","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-6351-9171"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100397383","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0001-5825-2575"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2083,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.91150413,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"225","last_page":"229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9995999932289124,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9995999932289124,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9990000128746033,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.8334044218063354},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.8286375403404236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8196508884429932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6740506887435913},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5970704555511475},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5767005085945129},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5427446961402893},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4868175685405731},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44630736112594604},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.44520634412765503},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4267895519733429},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3722881078720093},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3633911609649658},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34031325578689575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3379403352737427},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31637442111968994}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.8334044218063354},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.8286375403404236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8196508884429932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6740506887435913},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5970704555511475},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5767005085945129},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5427446961402893},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4868175685405731},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44630736112594604},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.44520634412765503},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4267895519733429},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3722881078720093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3633911609649658},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34031325578689575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3379403352737427},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31637442111968994},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscit.2016.7751626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2016.7751626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W620279967","https://openalex.org/W1498436455","https://openalex.org/W1576278180","https://openalex.org/W1614298861","https://openalex.org/W2008794359","https://openalex.org/W2117130368","https://openalex.org/W2118090838","https://openalex.org/W2123024445","https://openalex.org/W2127426251","https://openalex.org/W2132339004","https://openalex.org/W2149684865","https://openalex.org/W2153579005","https://openalex.org/W2165728620","https://openalex.org/W2950577311","https://openalex.org/W4285719527","https://openalex.org/W4294170691","https://openalex.org/W6619525523","https://openalex.org/W6636510571","https://openalex.org/W6677518113","https://openalex.org/W6678470764","https://openalex.org/W6678846912","https://openalex.org/W6682691769","https://openalex.org/W6996569244"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W4390881630","https://openalex.org/W2770162183","https://openalex.org/W3110772647","https://openalex.org/W2894231409","https://openalex.org/W2947721150","https://openalex.org/W4320058722","https://openalex.org/W4200051975"],"abstract_inverted_index":{"The":[0,66,240],"traditional":[1,85],"text":[2,56,81,98],"classification":[3,102],"methods":[4,52],"usually":[5,59],"follow":[6],"this":[7,138],"process:":[8],"first,":[9],"a":[10,16,94,113,160,172,228,235],"sentence":[11,24,156],"can":[12,28,60,87,131,198],"be":[13,29],"considered":[14],"as":[15,35,93,231,238],"bag":[17],"of":[18,97,125,142,193],"words":[19,76,165],"(BOW),":[20],"then":[21,180],"transformed":[22],"into":[23],"feature":[25,141,161],"vector":[26,43,177,230,237],"which":[27,130,149,226,253],"classified":[30,181],"by":[31,107,147,182],"some":[32],"methods,":[33],"such":[34],"maximum":[36],"entropy":[37],"(ME),":[38],"Naive":[39],"Bayes":[40],"(NB),":[41],"support":[42],"machines":[44],"(SVM),":[45],"and":[46,135,154,179,189,214,220,233],"so":[47],"on.":[48],"However,":[49],"when":[50],"these":[51],"are":[53,169,185],"applied":[54],"to":[55,159,171],"classification,":[57,92,99],"we":[58,111],"not":[61,88],"obtain":[62],"an":[63,249],"ideal":[64],"result.":[65],"most":[67],"important":[68,79],"reason":[69],"is":[70,77,100,145,157,254],"that":[71,196,244],"the":[72,84,108,140,176,190,201,245],"semantic":[73],"relations":[74],"between":[75],"very":[78],"for":[80,121],"categorization,":[82],"however,":[83],"method":[86],"capture":[89],"it.":[90],"Sentiment":[91],"special":[95],"case":[96],"binary":[101],"(positive":[103],"or":[104],"negative).":[105],"Inspired":[106],"sentiment":[109],"analysis,":[110],"use":[112],"novel":[114],"deep":[115],"learning-based":[116],"recurrent":[117],"neural":[118],"networks":[119],"(RNNs)model":[120],"automatic":[122],"security":[123,213],"audit":[124],"short":[126,133,143,206,216,222],"messages":[127,144,217,223],"from":[128,211],"prisons,":[129],"classify":[132,221],"messages(secure":[134],"non-insecure).":[136],"In":[137,163],"paper,":[139],"extracted":[146],"word2vec":[148],"captures":[150],"word":[151],"order":[152],"information,":[153],"each":[155],"mapped":[158,170],"vector.":[162],"particular,":[164],"with":[166],"similar":[167,173],"meaning":[168],"position":[174],"in":[175],"space,":[178],"RNNs.":[183],"RNNs":[184,194,225,246],"now":[186],"widely":[187],"used":[188],"network":[191],"structure":[192],"determines":[195],"it":[197],"easily":[199],"process":[200],"sequence":[202],"data.":[203],"We":[204],"preprocess":[205],"messages,":[207],"extract":[208],"typical":[209],"features":[210],"existing":[212],"non-security":[215],"via":[218],"word2vec,":[219],"through":[224],"accept":[227],"fixed-sized":[229,236],"input":[232],"produce":[234],"output.":[239],"experimental":[241],"results":[242],"show":[243],"model":[247],"achieves":[248],"average":[250],"92.7%":[251],"accuracy":[252],"higher":[255],"than":[256],"SVM.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}