{"id":"https://openalex.org/W7164911598","doi":"https://doi.org/10.1145/3744255.3798110","title":"Semantic Information Flow for Power Systems Under Multi-Vector Cyberattacks","display_name":"Semantic Information Flow for Power Systems Under Multi-Vector Cyberattacks","publication_year":2026,"publication_date":"2026-06-16","ids":{"openalex":"https://openalex.org/W7164911598","doi":"https://doi.org/10.1145/3744255.3798110"},"language":null,"primary_location":{"id":"doi:10.1145/3744255.3798110","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3744255.3798110","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3744255.3798110","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076398946","display_name":"Chengrong Lin","orcid":"https://orcid.org/0000-0003-0520-0725"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Chengrong Lin","raw_affiliation_strings":["the State Key Laboratory of Internet of Things for Smart City, University of Macau, Taipa, Macau, China"],"raw_orcid":"https://orcid.org/0000-0003-0520-0725","affiliations":[{"raw_affiliation_string":"the State Key Laboratory of Internet of Things for Smart City, University of Macau, Taipa, Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076398946"],"corresponding_institution_ids":["https://openalex.org/I204512498","https://openalex.org/I6469544"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.91324682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"652","last_page":"664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9215999841690063,"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":0.9215999841690063,"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/T13553","display_name":"Age of Information Optimization","score":0.014000000432133675,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.006000000052154064,"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/semantics","display_name":"Semantics (computer science)","score":0.5282999873161316},{"id":"https://openalex.org/keywords/operability","display_name":"Operability","score":0.5030999779701233},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4657000005245209},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.450300008058548},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4449000060558319},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.44200000166893005},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.42239999771118164},{"id":"https://openalex.org/keywords/information-flow","display_name":"Information flow","score":0.41179999709129333},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.359499990940094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7483000159263611},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5282999873161316},{"id":"https://openalex.org/C126231374","wikidata":"https://www.wikidata.org/wiki/Q1061298","display_name":"Operability","level":2,"score":0.5030999779701233},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4657000005245209},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.450300008058548},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44279998540878296},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.44200000166893005},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.42239999771118164},{"id":"https://openalex.org/C2779136372","wikidata":"https://www.wikidata.org/wiki/Q10283002","display_name":"Information flow","level":2,"score":0.41179999709129333},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3158999979496002},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.3111000061035156},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C204806902","wikidata":"https://www.wikidata.org/wiki/Q2333581","display_name":"Semantic security","level":5,"score":0.3018999993801117},{"id":"https://openalex.org/C189693848","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information exchange","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C121017731","wikidata":"https://www.wikidata.org/wiki/Q11661","display_name":"Information technology","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26440000534057617},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2615000009536743},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2603999972343445}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3744255.3798110","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3744255.3798110","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3744255.3798110","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3744255.3798110","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7031810170","display_name":null,"funder_award_id":"524B2101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1598852905","https://openalex.org/W1980767016","https://openalex.org/W1995875735","https://openalex.org/W2035124056","https://openalex.org/W2037470097","https://openalex.org/W2040121225","https://openalex.org/W2042563853","https://openalex.org/W2065725407","https://openalex.org/W2098397627","https://openalex.org/W2105831729","https://openalex.org/W2106424475","https://openalex.org/W2133249991","https://openalex.org/W2133726159","https://openalex.org/W2320204756","https://openalex.org/W2550453031","https://openalex.org/W2941181347","https://openalex.org/W2963443252","https://openalex.org/W3137257456","https://openalex.org/W3214655891","https://openalex.org/W4242986411","https://openalex.org/W4284703709","https://openalex.org/W4293211554","https://openalex.org/W4389252540","https://openalex.org/W4391454203","https://openalex.org/W4392450052","https://openalex.org/W4393285815","https://openalex.org/W4399110640","https://openalex.org/W4400033684","https://openalex.org/W4401162582","https://openalex.org/W4402216022","https://openalex.org/W4404520560","https://openalex.org/W4408017076","https://openalex.org/W4410921937","https://openalex.org/W4412444898","https://openalex.org/W6949761716"],"related_works":[],"abstract_inverted_index":{"Advanced":[0],"information":[1,45,81],"and":[2,25,69,102,115,127,150,180,206],"communication":[3,132],"technologies":[4],"improve":[5],"the":[6,30,84,104,109,144,147,151,194,198,204,209],"operational":[7],"efficiency":[8],"of":[9,33,59,80,111,137,163,171,197,208],"power":[10,55,93],"systems,":[11],"but":[12],"also":[13],"expose":[14],"them":[15],"to":[16,28,49,100,113,123,156,192],"diverse":[17],"cyberattacks.":[18,159],"Existing":[19],"studies":[20,202],"largely":[21],"analyze":[22],"single-vector":[23],"cyberattacks":[24,53,60,112],"therefore":[26],"fail":[27],"capture":[29,175],"coupled":[31,161],"effects":[32,162],"multi-vector":[34,52,164],"attacks.":[35],"To":[36],"address":[37,193],"this":[38,40],"gap,":[39],"paper":[41],"proposes":[42],"a":[43,131],"semantic":[44,72,76,118,141,183],"flow":[46,94],"(SIF)":[47],"model":[48,107],"evaluate":[50],"how":[51,125,176],"affect":[54],"systems.":[56],"The":[57,160],"impacts":[58,110],"are":[61,154,166],"decomposed":[62],"into":[63],"four":[64],"dimensions:":[65],"semantics,":[66],"timeliness,":[67],"directionality,":[68],"reachability.":[70],"Information":[71],"entropy":[73],"(ISE)":[74],"quantifies":[75],"accuracy,":[77],"while":[78],"age":[79],"(AoI)":[82],"captures":[83],"other":[85],"three":[86],"dimensions.":[87],"By":[88],"drawing":[89],"an":[90],"analogy":[91],"with":[92],"theory,":[95],"which":[96,174],"maps":[97,108],"physical-side":[98],"risks":[99],"voltages":[101],"power,":[103],"proposed":[105,210],"SIF":[106,199],"AoI":[114,126,145],"ISE.":[116],"A":[117,185],"operability":[119],"principle":[120],"is":[121,189],"introduced":[122],"define":[124],"ISE":[128,148],"evolve":[129],"along":[130],"path,":[133],"ensuring":[134],"consistent":[135],"computation":[136],"these":[138,172],"quantities.":[139],"Three":[140],"components,":[142],"namely,":[143],"modulator,":[146,149,153],"hybrid":[152],"presented":[155],"represent":[157],"heterogeneous":[158],"attacks":[165,178],"modeled":[167],"through":[168],"ordered":[169],"compositions":[170],"modulators,":[173],"different":[177],"interact":[179],"jointly":[181],"influence":[182],"distortion.":[184],"sink-based":[186],"reduction":[187],"method":[188],"further":[190],"developed":[191],"high":[195],"dimensionality":[196],"model.":[200],"Case":[201],"verify":[203],"validity":[205],"effectiveness":[207],"approach.":[211]},"counts_by_year":[],"updated_date":"2026-06-17T06:18:53.044164","created_date":"2026-06-17T00:00:00"}