{"id":"https://openalex.org/W2030726619","doi":"https://doi.org/10.4304/jnw.8.9.2093-2100","title":"Model of Information Security Risk Assessment based on Improved Wavelet Neural Network","display_name":"Model of Information Security Risk Assessment based on Improved Wavelet Neural Network","publication_year":2013,"publication_date":"2013-09-10","ids":{"openalex":"https://openalex.org/W2030726619","doi":"https://doi.org/10.4304/jnw.8.9.2093-2100","mag":"2030726619"},"language":"en","primary_location":{"id":"doi:10.4304/jnw.8.9.2093-2100","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.8.9.2093-2100","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of 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/A5100389222","display_name":"Gang Chen","orcid":"https://orcid.org/0000-0001-7120-7058"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gang Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040586473","display_name":"Dawei Zhao","orcid":"https://orcid.org/0000-0002-4583-1268"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dawei Zhao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100389222"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4268,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90932393,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":"9","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.987500011920929,"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"}},"topics":[{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.987500011920929,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9649999737739563,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9096630811691284},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5759250521659851},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.569279134273529},{"id":"https://openalex.org/keywords/information-security","display_name":"Information security","score":0.4399740993976593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42186230421066284},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41603395342826843},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3878237009048462}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9096630811691284},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5759250521659851},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.569279134273529},{"id":"https://openalex.org/C527648132","wikidata":"https://www.wikidata.org/wiki/Q189900","display_name":"Information security","level":2,"score":0.4399740993976593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42186230421066284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41603395342826843},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3878237009048462}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jnw.8.9.2093-2100","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.8.9.2093-2100","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1774296511","https://openalex.org/W1978424861","https://openalex.org/W1997761579","https://openalex.org/W2005115103","https://openalex.org/W2011864805","https://openalex.org/W2028907687","https://openalex.org/W2041531944","https://openalex.org/W2049134404","https://openalex.org/W2060261433","https://openalex.org/W2063431930","https://openalex.org/W2069056078","https://openalex.org/W2081875772","https://openalex.org/W2086779092","https://openalex.org/W2098386213","https://openalex.org/W2116490584","https://openalex.org/W2127158876","https://openalex.org/W2150186661","https://openalex.org/W2171878998"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2046633342","https://openalex.org/W2014650515","https://openalex.org/W4210648132"],"abstract_inverted_index":{"This":[0],"paper":[1],"concentrates":[2],"on":[3],"the":[4,11,25,45,59,74,108,116,123,127,132,147,154],"information":[5,77,99,159],"security":[6,78,100,160],"risk":[7,79,101,161],"assessment":[8],"model":[9,156],"utilizing":[10],"improved":[12],"wavelet":[13,19,49,87,110,128],"neural":[14,20,27,33,50,88,111],"network.":[15],"The":[16],"structure":[17],"of":[18,48,55,61,76,86,126,138],"network":[21,34,89,112],"is":[22,30,52,113],"similar":[23],"to":[24,72,142],"multi-layer":[26],"network,":[28],"which":[29,90],"a":[31,66,83,136],"feed-forward":[32],"with":[35,119,131],"one":[36],"or":[37],"more":[38],"inputs.":[39],"Afterwards,":[40],"we":[41,81,150],"point":[42],"out":[43],"that":[44,153],"training":[46],"process":[47],"networks":[51],"made":[53],"up":[54],"four":[56],"steps":[57],"until":[58],"value":[60],"error":[62,68],"function":[63],"can":[64,91,151,157],"satisfy":[65],"pre-defined":[67],"criteria.":[69],"In":[70],"order":[71],"enhance":[73],"quality":[75],"assessment,":[80],"proposed":[82,109,155],"modified":[84,130],"version":[85],"effectively":[92],"combine":[93],"all":[94],"influencing":[95],"factors":[96],"in":[97],"assessing":[98],"by":[102,115],"linear":[103],"integrating":[104],"several":[105],"weights.":[106],"Furthermore,":[107],"trained":[114],"BP":[117],"algorithm":[118],"batch":[120],"mode,":[121],"and":[122,163],"weight":[124],"coefficients":[125],"are":[129,140],"adopting":[133],"mode.":[134],"Finally,":[135],"series":[137],"experiments":[139],"conduct":[141],"make":[143],"performance":[144],"evaluation.":[145],"From":[146],"experimental":[148],"results,":[149],"see":[152],"assess":[158],"accurately":[162],"rapidly":[164]},"counts_by_year":[{"year":2021,"cited_by_count":8},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}