{"id":"https://openalex.org/W2404139833","doi":"https://doi.org/10.1109/icassp.2016.7472258","title":"Sparse attacking strategies in multi-sensor dynamic systems maximizing state estimation errors","display_name":"Sparse attacking strategies in multi-sensor dynamic systems maximizing state estimation errors","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2404139833","doi":"https://doi.org/10.1109/icassp.2016.7472258","mag":"2404139833"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5059884317","display_name":"Jingyang Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jingyang Lu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA, U.S.A","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003828818","display_name":"Ruixin Niu","orcid":"https://orcid.org/0000-0003-2511-9174"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruixin Niu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA, U.S.A","institution_ids":["https://openalex.org/I184840846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059884317"],"corresponding_institution_ids":["https://openalex.org/I184840846"],"apc_list":null,"apc_paid":null,"fwci":2.8954,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91427956,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9929999709129333,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9929999709129333,"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":0.9921000003814697,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.9871000051498413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.75432288646698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380762457847595},{"id":"https://openalex.org/keywords/adversary-model","display_name":"Adversary model","score":0.6321960687637329},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.606559693813324},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4897039234638214},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4882190525531769},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4662057161331177},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.458977609872818},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4476102590560913},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3947875499725342},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23151835799217224},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09869307279586792}],"concepts":[{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.75432288646698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380762457847595},{"id":"https://openalex.org/C7606001","wikidata":"https://www.wikidata.org/wiki/Q4686702","display_name":"Adversary model","level":3,"score":0.6321960687637329},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.606559693813324},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4897039234638214},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4882190525531769},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4662057161331177},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.458977609872818},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4476102590560913},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3947875499725342},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23151835799217224},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09869307279586792},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W245173017","https://openalex.org/W1531532259","https://openalex.org/W1555959355","https://openalex.org/W1976172966","https://openalex.org/W1978141941","https://openalex.org/W2013376616","https://openalex.org/W2014915963","https://openalex.org/W2033939184","https://openalex.org/W2060923098","https://openalex.org/W2064111006","https://openalex.org/W2076235610","https://openalex.org/W2108977771","https://openalex.org/W2137700663","https://openalex.org/W2162325942","https://openalex.org/W2215672769","https://openalex.org/W2433250951","https://openalex.org/W2532821176","https://openalex.org/W3104818482","https://openalex.org/W4256197292","https://openalex.org/W6633274030","https://openalex.org/W6653652110","https://openalex.org/W6688666001"],"related_works":["https://openalex.org/W2123681352","https://openalex.org/W2999599390","https://openalex.org/W4315472290","https://openalex.org/W4295124898","https://openalex.org/W2212585693","https://openalex.org/W2918039754","https://openalex.org/W3112099530","https://openalex.org/W2088745056","https://openalex.org/W2085319386","https://openalex.org/W1658340114"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"from":[3],"the":[4,9,24,49,53,58,64,67,72,104,117,120],"adversary's":[5],"point":[6],"of":[7,52,60,119],"view,":[8],"optimal":[10],"strategy":[11],"to":[12,47,84,102,115],"attack":[13,61,71,105,122],"a":[14,74,94],"multi-sensor":[15],"dynamic":[16],"system":[17,25,54,73],"is":[18,21,45],"investigated.":[19],"It":[20],"assumed":[22],"that":[23,66],"can":[26,69],"perfectly":[27],"detect":[28],"and":[29,79,97,108],"remove":[30],"sensors":[31],"once":[32],"they":[33],"are":[34,100,111],"corrupted":[35],"by":[36,40,57],"false":[37],"information":[38],"injected":[39],"an":[41,85],"adversary.":[42],"The":[43,89],"adversary":[44,68],"trying":[46],"maximize":[48],"covariance":[50],"matrix":[51],"state":[55],"estimate":[56],"end":[59],"period":[62],"under":[63],"constraint":[65],"only":[70],"few":[75],"times":[76],"over":[77,80],"time":[78],"sensors,":[81],"which":[82],"leads":[83],"integer":[86],"programming":[87],"problem.":[88],"exhaustive":[90],"search":[91],"algorithm":[92],"has":[93],"prohibitive":[95],"complexity":[96],"greedy":[98],"algorithms":[99],"proposed":[101,121],"find":[103],"strategies.":[106,123],"Examples":[107],"numerical":[109],"results":[110],"provided":[112],"in":[113],"order":[114],"illustrate":[116],"effectiveness":[118]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}