{"id":"https://openalex.org/W2951316647","doi":"https://doi.org/10.1145/3307772.3330171","title":"Adversarial Machine Learning in Smart Energy Systems","display_name":"Adversarial Machine Learning in Smart Energy Systems","publication_year":2019,"publication_date":"2019-06-13","ids":{"openalex":"https://openalex.org/W2951316647","doi":"https://doi.org/10.1145/3307772.3330171","mag":"2951316647"},"language":"en","primary_location":{"id":"doi:10.1145/3307772.3330171","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307772.3330171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM International Conference on Future Energy Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.lancs.ac.uk/id/eprint/134248/1/Adversarial_Machine_Learning_in_Smart_Energy_Systems_Poster_.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006572375","display_name":"Martin Bor","orcid":"https://orcid.org/0000-0002-8694-1666"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Martin C. Bor","raw_affiliation_strings":["SCC, Lancaster University, Lancaster, United Kingdom"],"affiliations":[{"raw_affiliation_string":"SCC, Lancaster University, Lancaster, United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021412159","display_name":"Angelos K. Marnerides","orcid":"https://orcid.org/0000-0002-7996-6216"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Angelos K. Marnerides","raw_affiliation_strings":["SCC, Lancaster University, Lancaster, United Kingdom"],"affiliations":[{"raw_affiliation_string":"SCC, Lancaster University, Lancaster, United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020969540","display_name":"Andy Molineux","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andy Molineux","raw_affiliation_strings":["Upside Energy Ltd., Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Upside Energy Ltd., Manchester, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069118782","display_name":"Steve Wattam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Steve Wattam","raw_affiliation_strings":["Upside Energy Ltd., Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Upside Energy Ltd., Manchester, United Kingdom","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036442254","display_name":"Utz Roedig","orcid":"https://orcid.org/0000-0002-4020-0889"},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Utz Roedig","raw_affiliation_strings":["School of Computer Science and Information Technology, University College Cork, Cork, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Technology, University College Cork, Cork, Ireland","institution_ids":["https://openalex.org/I27577105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006572375"],"corresponding_institution_ids":["https://openalex.org/I67415387"],"apc_list":null,"apc_paid":null,"fwci":1.8531,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85610493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"413","last_page":"415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9983999729156494,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/adversarial-system","display_name":"Adversarial system","score":0.8138792514801025},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.7631029486656189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7454940676689148},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.6502096056938171},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5306355357170105},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5230152010917664},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4913298189640045},{"id":"https://openalex.org/keywords/decentralization","display_name":"Decentralization","score":0.46049195528030396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43299806118011475},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35976889729499817}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8138792514801025},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.7631029486656189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7454940676689148},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.6502096056938171},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5306355357170105},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5230152010917664},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4913298189640045},{"id":"https://openalex.org/C136810230","wikidata":"https://www.wikidata.org/wiki/Q188961","display_name":"Decentralization","level":2,"score":0.46049195528030396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43299806118011475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35976889729499817},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3307772.3330171","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307772.3330171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM International Conference on Future Energy Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.lancs.ac.uk:134248","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.lancs.ac.uk/id/eprint/134248/1/Adversarial_Machine_Learning_in_Smart_Energy_Systems_Poster_.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:eprints.gla.ac.uk:221834","is_oa":true,"landing_page_url":"http://eprints.gla.ac.uk/221834/","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"pmh:oai:eprints.lancs.ac.uk:134248","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.lancs.ac.uk/id/eprint/134248/1/Adversarial_Machine_Learning_in_Smart_Energy_Systems_Poster_.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8100000023841858,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2951316647.pdf"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1552238199","https://openalex.org/W2002254092","https://openalex.org/W2005028112","https://openalex.org/W2015491033","https://openalex.org/W2076175645","https://openalex.org/W2108906138","https://openalex.org/W2129034289","https://openalex.org/W2332912277","https://openalex.org/W2964351981","https://openalex.org/W4206109607"],"related_works":["https://openalex.org/W3048732067","https://openalex.org/W4383468834","https://openalex.org/W4283221438","https://openalex.org/W2900159906","https://openalex.org/W4384648009","https://openalex.org/W4287828318","https://openalex.org/W2406556600","https://openalex.org/W4380352238","https://openalex.org/W3126470649","https://openalex.org/W2930249865"],"abstract_inverted_index":{"Smart":[0],"Energy":[1],"Systems":[2],"represent":[3],"a":[4,47,56,63,103],"radical":[5],"shift":[6],"in":[7],"the":[8,19,92],"approach":[9],"to":[10,22,70,86,113],"energy":[11,20],"generation":[12],"and":[13,37,41,52,54,106,115],"demand,":[14],"driven":[15,33],"by":[16,34,98],"decentralisation":[17],"of":[18,25,43,50,59,94,102,121],"system":[21,88],"large":[23],"numbers":[24],"low-capacity":[26],"devices.":[27],"Managing":[28],"this":[29],"flexibility":[30],"is":[31,68],"often":[32],"machine":[35,72],"learning,":[36,73],"requires":[38],"real-time":[39],"control":[40],"aggregation":[42],"these":[44,119],"devices,":[45],"involving":[46],"diverse":[48],"set":[49],"companies":[51],"devices":[53],"creating":[55],"longer":[57],"chain":[58],"trust.":[60],"This":[61],"poses":[62],"security":[64],"risk,":[65],"as":[66],"it":[67],"sensitive":[69],"adversarial":[71],"whereby":[74],"models":[75],"are":[76],"fooled":[77],"through":[78],"malicious":[79],"input,":[80],"either":[81],"for":[82,109,118],"financial":[83],"gain":[84],"or":[85],"cause":[87],"disruption.":[89],"We":[90],"show":[91],"feasibility":[93],"such":[95],"an":[96],"attack":[97],"analysing":[99],"empirical":[100],"data":[101],"real":[104],"system,":[105],"propose":[107],"directions":[108],"future":[110],"research":[111],"related":[112],"detection":[114],"defence":[116],"mechanisms":[117],"kind":[120],"attacks.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}