{"id":"https://openalex.org/W4205571120","doi":"https://doi.org/10.23919/pemwn53042.2021.9664667","title":"Multi-Attribute Monitoring for Anomaly Detection: a Reinforcement Learning Approach based on Unsupervised Reward","display_name":"Multi-Attribute Monitoring for Anomaly Detection: a Reinforcement Learning Approach based on Unsupervised Reward","publication_year":2021,"publication_date":"2021-11-23","ids":{"openalex":"https://openalex.org/W4205571120","doi":"https://doi.org/10.23919/pemwn53042.2021.9664667"},"language":"en","primary_location":{"id":"doi:10.23919/pemwn53042.2021.9664667","is_oa":false,"landing_page_url":"https://doi.org/10.23919/pemwn53042.2021.9664667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 10th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks (PEMWN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-03506409","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085494145","display_name":"Mohamed Said Frikha","orcid":"https://orcid.org/0000-0002-9958-1604"},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Said Frikha","raw_affiliation_strings":["CRISTAL LAB, National School of Computer Sciences, ENSI, Manouba, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CRISTAL LAB, National School of Computer Sciences, ENSI, Manouba, Tunisia","institution_ids":["https://openalex.org/I83259278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057061641","display_name":"Sonia Mettali Gammar","orcid":"https://orcid.org/0000-0001-8986-7206"},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Sonia Mettali Gammar","raw_affiliation_strings":["CRISTAL LAB, National School of Computer Sciences, ENSI, Manouba, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CRISTAL LAB, National School of Computer Sciences, ENSI, Manouba, Tunisia","institution_ids":["https://openalex.org/I83259278"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111932337","display_name":"Abdelkader Lahmadi","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdelkader Lahmadi","raw_affiliation_strings":["CNRS, Inria, Loria, Universit\u00e9 de Lorraine, Nancy, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Inria, Loria, Universit\u00e9 de Lorraine, Nancy, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210121838","https://openalex.org/I90183372"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.828889012336731},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.772505521774292},{"id":"https://openalex.org/keywords/polling","display_name":"Polling","score":0.7132083177566528},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5957408547401428},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5569002032279968},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5340916514396667},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5222190618515015},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5217405557632446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45039552450180054},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41557133197784424},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.26797276735305786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.828889012336731},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.772505521774292},{"id":"https://openalex.org/C204854418","wikidata":"https://www.wikidata.org/wiki/Q1362921","display_name":"Polling","level":2,"score":0.7132083177566528},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5957408547401428},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5569002032279968},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5340916514396667},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5222190618515015},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5217405557632446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45039552450180054},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41557133197784424},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.26797276735305786},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/pemwn53042.2021.9664667","is_oa":false,"landing_page_url":"https://doi.org/10.23919/pemwn53042.2021.9664667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 10th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks (PEMWN)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03506409v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03506409","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PEMWN 2021 - 10th IFIP International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks, Nov 2021, Waterloo, Canada","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03506409v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03506409","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PEMWN 2021 - 10th IFIP International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks, Nov 2021, Waterloo, Canada","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W593185193","https://openalex.org/W1563088657","https://openalex.org/W2028145673","https://openalex.org/W2039157918","https://openalex.org/W2049058890","https://openalex.org/W2053587358","https://openalex.org/W2070715707","https://openalex.org/W2096117795","https://openalex.org/W2105497548","https://openalex.org/W2108395864","https://openalex.org/W2124431629","https://openalex.org/W2129761485","https://openalex.org/W2153517517","https://openalex.org/W2154299843","https://openalex.org/W2217336452","https://openalex.org/W2257979135","https://openalex.org/W2296719434","https://openalex.org/W2735842644","https://openalex.org/W2796604031","https://openalex.org/W2905548177","https://openalex.org/W2990506496","https://openalex.org/W2998957330","https://openalex.org/W3009317244","https://openalex.org/W3046697349","https://openalex.org/W3092021803","https://openalex.org/W4214717370","https://openalex.org/W4231620004","https://openalex.org/W4249921235","https://openalex.org/W4254182148","https://openalex.org/W4255911135","https://openalex.org/W6782000783","https://openalex.org/W6824351792","https://openalex.org/W6986189286"],"related_works":["https://openalex.org/W4393179257","https://openalex.org/W4205624458","https://openalex.org/W2987499578","https://openalex.org/W2076641224","https://openalex.org/W2462076241","https://openalex.org/W4230797417","https://openalex.org/W4386075345","https://openalex.org/W4285233543","https://openalex.org/W3203657119","https://openalex.org/W4230838436"],"abstract_inverted_index":{"This":[0,96],"paper":[1],"proposes":[2,66],"a":[3,70,75,90],"new":[4],"method":[5,72],"to":[6,88],"solve":[7],"the":[8,41,67,99,107],"monitoring":[9,40,92],"and":[10,30,44,54,103],"anomaly":[11],"detection":[12],"problems":[13],"of":[14,17,46,48,69,93,106],"Low-power":[15],"Internet":[16],"Things":[18],"(IoT)":[19],"devices.":[20],"However,":[21],"their":[22],"performances":[23],"are":[24],"constrained":[25],"by":[26],"limited":[27],"processing,":[28],"memory,":[29],"communication,":[31],"usually":[32],"using":[33],"battery-powered":[34],"energy.":[35],"Polling":[36],"driven":[37],"mechanisms":[38],"for":[39],"security,":[42],"performance,":[43],"quality":[45],"service":[47],"these":[49],"networks":[50],"should":[51],"be":[52],"efficient":[53],"with":[55,82],"low":[56],"overhead,":[57],"which":[58],"makes":[59,98],"it":[60],"particularly":[61],"challenging.":[62],"The":[63],"present":[64],"work":[65],"design":[68],"novel":[71],"based":[73],"on":[74],"Deep":[76],"Reinforcement":[77],"Learning":[78,85],"(DRL)":[79],"algorithm":[80],"coupled":[81],"an":[83],"Unsupervised":[84],"reward":[86],"technique":[87],"build":[89],"pooling":[91],"IoT":[94],"networks.":[95],"combination":[97],"network":[100],"more":[101],"secure":[102],"optimizes":[104],"predictions":[105],"DRL":[108],"agent":[109],"in":[110],"adaptive":[111],"environments.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}