{"id":"https://openalex.org/W4410122784","doi":"https://doi.org/10.1201/9781003635680-110","title":"Neuro-guard: Reinforcing web security with convolutional neural networks against cross-site scripting attacks","display_name":"Neuro-guard: Reinforcing web security with convolutional neural networks against cross-site scripting attacks","publication_year":2025,"publication_date":"2025-05-06","ids":{"openalex":"https://openalex.org/W4410122784","doi":"https://doi.org/10.1201/9781003635680-110"},"language":"en","primary_location":{"id":"doi:10.1201/9781003635680-110","doi":"https://doi.org/10.1201/9781003635680-110","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003635680-110","pdf_url":null,"source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Computing and Communication Techniques","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4410123981","display_name":"Intelligent Computing and Communication Techniques"},"type":"book-chapter","is_traditional":true,"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/A5013939518","display_name":"Rahul Rajendra Papalkar","orcid":"https://orcid.org/0000-0002-2888-3525","observed_orcids":["https://orcid.org/0000-0002-2888-3525"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahul R Papalkar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064336532","display_name":"Jayendra S. Jadhav","orcid":"https://orcid.org/0000-0001-6767-6580","observed_orcids":["https://orcid.org/0000-0001-6767-6580"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jayendra Jadhav","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102918867","display_name":"Vivek Thorat","orcid":"https://orcid.org/0009-0007-9657-8331","observed_orcids":["https://orcid.org/0009-0007-9657-8331"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vivek Thorat","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108948531","display_name":"Pallavi Morey","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pallavi Morey","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032446858","display_name":"Moumita Pal","orcid":"https://orcid.org/0000-0002-8665-478X","observed_orcids":["https://orcid.org/0000-0002-8665-478X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moumita Pal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5014980343","display_name":"Shabir Ali","orcid":"https://orcid.org/0000-0003-0518-3363","observed_orcids":["https://orcid.org/0000-0003-0518-3363"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shabir Ali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"762","last_page":"769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12479","display_name":"Web Application Security Vulnerabilities","score":0.986299991607666,"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/T12479","display_name":"Web Application Security Vulnerabilities","score":0.986299991607666,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.008899999782443047,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.002400000113993883,"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/cross-site-scripting","display_name":"cross-site scripting","score":0.9430000185966492},{"id":"https://openalex.org/keywords/web-application-security","display_name":"web application security","score":0.7910000085830688},{"id":"https://openalex.org/keywords/malicious-script-detection","display_name":"malicious script detection","score":0.7279999852180481},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7900000214576721},{"id":"https://openalex.org/keywords/intrusion-detection","display_name":"intrusion detection","score":0.6039999723434448},{"id":"https://openalex.org/keywords/deep-learning-for-cybersecurity","display_name":"deep learning for cybersecurity","score":0.4650000035762787},{"id":"https://openalex.org/keywords/attack-detection","display_name":"attack detection","score":0.3009999990463257}],"concepts":[{"id":"https://openalex.org/C39569185","wikidata":"https://www.wikidata.org/wiki/Q371199","display_name":"Cross-site scripting","level":5,"score":0.9099088311195374},{"id":"https://openalex.org/C141141315","wikidata":"https://www.wikidata.org/wiki/Q2379942","display_name":"Guard (computer science)","level":2,"score":0.7234090566635132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6621334552764893},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5153433680534363},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4727120101451874},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.4660996198654175},{"id":"https://openalex.org/C59241245","wikidata":"https://www.wikidata.org/wiki/Q4781497","display_name":"Web application security","level":4,"score":0.3361471891403198},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33435508608818054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.176606684923172},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.17242345213890076},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.09576502442359924},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09415671229362488},{"id":"https://openalex.org/C79373723","wikidata":"https://www.wikidata.org/wiki/Q386275","display_name":"Web development","level":3,"score":0.07063907384872437}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/9781003635680-110","doi":"https://doi.org/10.1201/9781003635680-110","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003635680-110","pdf_url":null,"source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Computing and Communication Techniques","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4387490664","https://openalex.org/W4293662156","https://openalex.org/W7221625936","https://openalex.org/W7124735650","https://openalex.org/W4362499370","https://openalex.org/W4221008596","https://openalex.org/W7163354437","https://openalex.org/W4366502726","https://openalex.org/W3194437929","https://openalex.org/W4415930457"],"abstract_inverted_index":{"Utilizing":[0],"a":[1,11,79,89],"methodology":[2],"based":[3],"on":[4,78],"Convolutional":[5,23,58,105,123,174],"Neural":[6,24,59,106,124,175],"Networks,":[7],"this":[8],"research":[9,150],"proposes":[10],"new":[12],"approach":[13],"to":[14,32,119],"address":[15],"the":[16,120,152,162],"increasing":[17],"threat":[18,167],"of":[19,82],"Cross-Site":[20,38,54,114,138,157],"Scripting":[21,39,55,115,139,158],"assaults.":[22],"Networks\u2019":[25],"extensive":[26],"pattern":[27],"recognition":[28],"skills":[29],"are":[30],"used":[31,96],"assess":[33],"web":[34,48,135],"requests":[35],"and":[36,51,62,64,84,100,111,131,141,160],"identify":[37],"scripts":[40],"with":[41,73,144],"astonishing":[42],"precision.":[43],"The":[44,67,104,122,149],"model":[45,68,108],"quickly":[46],"processes":[47],"request":[49],"data":[50],"accurately":[52],"detects":[53,109],"patterns":[56],"using":[57,170],"Network":[60,107],"architecture":[61],"convolutional":[63],"pooling":[65],"layers.":[66],"defeated":[69],"multiple":[70],"attack":[71],"tactics":[72],"93.80%":[74],"accuracy":[75],"after":[76],"training":[77],"huge":[80],"dataset":[81],"malicious":[83],"benign":[85],"events.":[86],"This":[87],"is":[88,128],"considerable":[90],"improvement":[91],"over":[92],"prior":[93],"models":[94],"that":[95],"Long":[97],"Short-Term":[98],"Memory":[99],"had":[101],"92.50%":[102],"accuracy.":[103],"complicated":[110],"previously":[112],"undiscovered":[113],"assaults":[116,159],"better,":[117],"according":[118],"study.":[121],"Network-based":[125],"detection":[126],"technique":[127],"realistic,":[129],"efficient,":[130],"scalable":[132],"for":[133,164],"protecting":[134],"applications":[136],"against":[137,156],"vulnerabilities":[140],"interacts":[142],"well":[143],"current":[145],"online":[146],"security":[147],"frameworks.":[148],"strengthens":[151],"digital":[153],"ecosystem's":[154],"defenses":[155],"provides":[161],"groundwork":[163],"future":[165],"cyber":[166],"reduction":[168],"advances":[169],"deep":[171],"learning,":[172],"particularly":[173],"Networks.":[176]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2025-05-07T00:00:00"}