{"id":"https://openalex.org/W4394570652","doi":"https://doi.org/10.3390/s24072353","title":"An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing","display_name":"An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing","publication_year":2024,"publication_date":"2024-04-07","ids":{"openalex":"https://openalex.org/W4394570652","doi":"https://doi.org/10.3390/s24072353","pmid":"https://pubmed.ncbi.nlm.nih.gov/38610563","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/11013969"},"language":"en","primary_location":{"id":"doi:10.3390/s24072353","doi":"https://doi.org/10.3390/s24072353","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24072353","pdf_url":"https://www.mdpi.com/1424-8220/24/7/2353/pdf?version=1712558160","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/7/2353/pdf?version=1712558160","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006442034","display_name":"Nsikak Pius Owoh","orcid":"https://orcid.org/0000-0002-4840-9345","observed_orcids":["https://orcid.org/0000-0002-4840-9345"]},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Nsikak Owoh","raw_affiliation_strings":["Department of Cyber Security and Networks, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK"],"raw_orcid":"https://orcid.org/0000-0002-4840-9345","affiliations":[{"raw_affiliation_string":"Department of Cyber Security and Networks, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079885275","display_name":"Jackie Riley","orcid":"https://orcid.org/0000-0001-7610-8702","observed_orcids":["https://orcid.org/0000-0001-7610-8702"]},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jackie Riley","raw_affiliation_strings":["Department of Cyber Security and Networks, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK"],"raw_orcid":"https://orcid.org/0000-0001-7610-8702","affiliations":[{"raw_affiliation_string":"Department of Cyber Security and Networks, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085428147","display_name":"Moses Ashawa","orcid":"https://orcid.org/0000-0002-1016-0791","observed_orcids":["https://orcid.org/0000-0002-1016-0791"]},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Moses Ashawa","raw_affiliation_strings":["Department of Cyber Security and Networks, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK"],"raw_orcid":"https://orcid.org/0000-0002-1016-0791","affiliations":[{"raw_affiliation_string":"Department of Cyber Security and Networks, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022764325","display_name":"Salaheddin Hosseinzadeh","orcid":"https://orcid.org/0000-0001-6253-5287","observed_orcids":["https://orcid.org/0000-0001-6253-5287"]},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Salaheddin Hosseinzadeh","raw_affiliation_strings":["Department of Cyber Security and Networks, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK"],"raw_orcid":"https://orcid.org/0000-0001-6253-5287","affiliations":[{"raw_affiliation_string":"Department of Cyber Security and Networks, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Anand Philip","orcid":"https://orcid.org/0000-0002-2723-3301","observed_orcids":["https://orcid.org/0000-0002-2723-3301"]},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anand Philip","raw_affiliation_strings":["Department of Cyber Security and Networks, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK"],"raw_orcid":"https://orcid.org/0000-0002-2723-3301","affiliations":[{"raw_affiliation_string":"Department of Cyber Security and Networks, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road, Glasgow G4 0BA, UK","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067594566","display_name":"Jude Osamor","orcid":"https://orcid.org/0000-0002-3739-8521","observed_orcids":["https://orcid.org/0000-0002-3739-8521"]},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jude Osamor","raw_affiliation_strings":["School of Computer Science and Engineering, University of Westminster, 309 Regent Street, London W1B 2HW, UK"],"raw_orcid":"https://orcid.org/0000-0002-3739-8521","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Westminster, 309 Regent Street, London W1B 2HW, UK","institution_ids":["https://openalex.org/I94951947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006442034"],"corresponding_institution_ids":["https://openalex.org/I195939026"],"apc_list":{"value":2600,"currency":"CHF","value_usd":2955},"apc_paid":{"value":2600,"currency":"CHF","value_usd":2955},"fwci":4.9397,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.95597015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"24","issue":"7","first_page":"2353","last_page":"2353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.8666999936103821,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.8666999936103821,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.08139999955892563,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.018799999728798866,"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/mobile-crowdsensing","display_name":"mobile crowdsensing","score":0.8830000162124634},{"id":"https://openalex.org/keywords/malicious-data-detection","display_name":"malicious data detection","score":0.9900000095367432},{"id":"https://openalex.org/keywords/data-poisoning-attacks","display_name":"data poisoning","score":0.7369999885559082},{"id":"https://openalex.org/keywords/adversarial-attacks","display_name":"adversarial attacks","score":0.8790000081062317},{"id":"https://openalex.org/keywords/temporal-convolutional-network","display_name":"temporal convolutional network","score":0.8610000014305115},{"id":"https://openalex.org/keywords/autoencoder","display_name":"autoencoder","score":0.9909999966621399},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"adaptive learning","score":0.9789999723434448},{"id":"https://openalex.org/keywords/sensor-data-integrity","display_name":"sensor data integrity","score":0.8029999732971191}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7802569270133972},{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.7276707291603088},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.5821296572685242},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5400541424751282},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5034241080284119},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.44684308767318726},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4376369118690491},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4207799434661865},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4137461483478546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38369205594062805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3726752996444702},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.341901957988739},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.19678369164466858},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15194189548492432},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/s24072353","doi":"https://doi.org/10.3390/s24072353","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24072353","pdf_url":"https://www.mdpi.com/1424-8220/24/7/2353/pdf?version=1712558160","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11013969","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11013969","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11013969/pdf/sensors-24-02353.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmid:38610563","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38610563","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:researchonline.gcu.ac.uk:openaire/34a74d63-1a2d-4447-b2cc-4ea4f974f3c9","doi":null,"is_oa":true,"landing_page_url":"https://researchonline.gcu.ac.uk/en/publications/34a74d63-1a2d-4447-b2cc-4ea4f974f3c9","pdf_url":null,"source":{"id":"https://openalex.org/S7407055385","display_name":"ResearchOnline","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Owoh, N, Riley, J, Ashawa, M, Hosseinzadeh, S, Philip, A & Osamor, J 2024, 'An adaptive temporal convolutional network autoencoder for malicious data detection in mobile crowd sensing', Sensors, vol. 24, no. 7, 2353. https://doi.org/10.3390/s24072353","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:westminsterresearch.westminster.ac.uk:w952y","doi":null,"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24072353","pdf_url":"https://westminsterresearch.westminster.ac.uk/download/5e6659853f34e9d4b030f54aad8651fa7ad7da326375b59d1628ff398b700558/3794104/sensors-24-02353.pdf","source":{"id":"https://openalex.org/S4306400277","display_name":"WestminsterResearch (University of Westminster)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I94951947","host_organization_name":"University of Westminster","host_organization_lineage":["https://openalex.org/I94951947"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:c293ce0d3a7e41f89e77a29c78862f6d","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/c293ce0d3a7e41f89e77a29c78862f6d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 7, p 2353 (2024)","raw_type":"article"},{"id":"pmh:oai:researchonline.gcu.ac.uk:openaire_cris_publications/34a74d63-1a2d-4447-b2cc-4ea4f974f3c9","doi":null,"is_oa":true,"landing_page_url":"https://researchonline.gcu.ac.uk/en/publications/34a74d63-1a2d-4447-b2cc-4ea4f974f3c9","pdf_url":null,"source":{"id":"https://openalex.org/S4306402566","display_name":"ResearchOnline (Glasgow Caledonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I195939026","host_organization_name":"Glasgow Caledonian University","host_organization_lineage":["https://openalex.org/I195939026"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Owoh, N, Riley, J, Ashawa, M, Hosseinzadeh, S, Philip, A & Osamor, J 2024, 'An adaptive temporal convolutional network autoencoder for malicious data detection in mobile crowd sensing', Sensors, vol. 24, no. 7, 2353. https://doi.org/10.3390/s24072353","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/s24072353","doi":"https://doi.org/10.3390/s24072353","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24072353","pdf_url":"https://www.mdpi.com/1424-8220/24/7/2353/pdf?version=1712558160","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394570652.pdf","grobid_xml":"https://content.openalex.org/works/W4394570652.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2535301535","https://openalex.org/W2739846485","https://openalex.org/W2758028572","https://openalex.org/W2799758613","https://openalex.org/W2896147697","https://openalex.org/W2898486454","https://openalex.org/W2899116516","https://openalex.org/W2981959936","https://openalex.org/W2995305419","https://openalex.org/W2996461449","https://openalex.org/W2997580081","https://openalex.org/W3004999940","https://openalex.org/W3006193062","https://openalex.org/W3008098013","https://openalex.org/W3014178782","https://openalex.org/W3014183306","https://openalex.org/W3033564492","https://openalex.org/W3034338013","https://openalex.org/W3120953231","https://openalex.org/W3131936634","https://openalex.org/W3166389143","https://openalex.org/W3183886395","https://openalex.org/W3192648431","https://openalex.org/W3201945677","https://openalex.org/W3212205173","https://openalex.org/W4205989500","https://openalex.org/W4224312149","https://openalex.org/W4289860735","https://openalex.org/W4319755523"],"related_works":["https://openalex.org/W3212205173","https://openalex.org/W6980943391","https://openalex.org/W4402644289","https://openalex.org/W3010563688","https://openalex.org/W7135384638","https://openalex.org/W7111790350","https://openalex.org/W3175052831","https://openalex.org/W4401454260","https://openalex.org/W4398787073","https://openalex.org/W4404838722"],"abstract_inverted_index":{"Mobile":[0],"crowdsensing":[1,219],"(MCS)":[2],"systems":[3,29],"rely":[4],"on":[5],"the":[6,20,46,63,68,106,135,140,157,168,171,189,194,197,201,209,212],"collective":[7],"contribution":[8],"of":[9,25,67,134,159,170,177,184,196,205,214],"sensor":[10,59,91,150],"data":[11,35,44,60,86,92,124,151],"from":[12,93],"numerous":[13],"mobile":[14,94],"devices":[15],"carried":[16],"by":[17,76],"participants.":[18],"However,":[19],"open":[21],"and":[22,65,80,112,152,203,217],"participatory":[23],"nature":[24],"MCS":[26,88,160,206],"renders":[27],"these":[28,187],"vulnerable":[30],"to":[31,61,109,114,120,156,192],"adversarial":[32],"attacks":[33],"or":[34],"poisoning":[36],"attempts":[37],"where":[38],"threat":[39],"actors":[40],"can":[41],"inject":[42],"malicious":[43,58,85,123,149],"into":[45],"system.":[47],"There":[48],"is":[49],"a":[50,53,131],"need":[51],"for":[52,83,211],"detection":[54,178],"system":[55],"that":[56,104],"mitigates":[57],"maintain":[62],"integrity":[64,158],"reliability":[66],"collected":[69],"information.":[70],"This":[71],"paper":[72,190],"addresses":[73],"this":[74],"issue":[75],"proposing":[77],"an":[78,100,181],"adaptive":[79,101],"robust":[81,218],"model":[82,98,108,174],"detecting":[84,148],"in":[87,146,175,199],"scenarios":[89],"involving":[90],"devices.":[95],"The":[96],"proposed":[97,136,172],"incorporates":[99],"learning":[102],"mechanism":[103],"enables":[105],"TCN-based":[107,173],"continually":[110],"evolve":[111],"adapt":[113],"new":[115],"patterns,":[116],"enhancing":[117],"its":[118,144],"capability":[119],"detect":[121],"novel":[122],"as":[125],"threats":[126,155],"evolve.":[127],"We":[128],"also":[129],"present":[130],"comprehensive":[132],"evaluation":[133],"model's":[137],"performance":[138,169],"using":[139],"SherLock":[141],"datasets,":[142],"demonstrating":[143],"effectiveness":[145],"accurately":[147],"mitigating":[153],"potential":[154],"systems.":[161],"Comparative":[162],"analysis":[163],"with":[164,180],"existing":[165],"models":[166],"highlights":[167],"terms":[176],"accuracy,":[179],"accuracy":[182],"score":[183],"98%.":[185],"Through":[186],"contributions,":[188],"aims":[191],"advance":[193],"state":[195],"art":[198],"ensuring":[200],"trustworthiness":[202],"security":[204],"systems,":[207],"paving":[208],"way":[210],"development":[213],"more":[215],"reliable":[216],"applications.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2024-04-09T00:00:00"}