{"id":"https://openalex.org/W124107535","doi":"https://doi.org/10.1007/978-3-642-16822-2_12","title":"Privacy-Preserving Pattern Matching for Anomaly Detection in RFID Anti-Counterfeiting","display_name":"Privacy-Preserving Pattern Matching for Anomaly Detection in RFID Anti-Counterfeiting","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W124107535","doi":"https://doi.org/10.1007/978-3-642-16822-2_12","mag":"124107535"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-16822-2_12","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-16822-2_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5102985450","display_name":"Florian Kerschbaum","orcid":"https://orcid.org/0000-0003-4288-2286"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Florian Kerschbaum","raw_affiliation_strings":["SAP Research, Karlsruhe, Germany","SAP Research, Karlsruhe, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"SAP Research, Karlsruhe, Germany","institution_ids":[]},{"raw_affiliation_string":"SAP Research, Karlsruhe, Germany#TAB#","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063876732","display_name":"Nina Oertel","orcid":null},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nina Oertel","raw_affiliation_strings":["Chair of Business Administration and Information Systems, University of Mannheim, Germany","SAP Research, Karlsruhe, Germany","SAP Research, Karlsruhe, Germany and Business Administration and Information Systems, University of Mannheim, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Chair of Business Administration and Information Systems, University of Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]},{"raw_affiliation_string":"SAP Research, Karlsruhe, Germany","institution_ids":[]},{"raw_affiliation_string":"SAP Research, Karlsruhe, Germany and Business Administration and Information Systems, University of Mannheim, Germany#TAB#","institution_ids":["https://openalex.org/I177802217"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102985450"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.2351,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.95017222,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9998999834060669,"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/T10237","display_name":"Cryptography and Data Security","score":0.9997000098228455,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9997000098228455,"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/computer-science","display_name":"Computer science","score":0.8330785036087036},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7229296565055847},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6850137114524841},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.5388491153717041},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4586084485054016},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.44557949900627136},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.43959861993789673},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.40738430619239807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32771724462509155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3017694056034088},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05777066946029663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8330785036087036},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7229296565055847},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6850137114524841},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.5388491153717041},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4586084485054016},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.44557949900627136},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.43959861993789673},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.40738430619239807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32771724462509155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3017694056034088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05777066946029663},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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":2,"locations":[{"id":"doi:10.1007/978-3-642-16822-2_12","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-16822-2_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.621.1938","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.621.1938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.fkerschbaum.org/rfidsec10a.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W23696867","https://openalex.org/W1523927152","https://openalex.org/W1544406760","https://openalex.org/W1544695791","https://openalex.org/W1556475581","https://openalex.org/W1597292924","https://openalex.org/W1776325532","https://openalex.org/W1827368922","https://openalex.org/W1972806764","https://openalex.org/W1984680759","https://openalex.org/W2005830269","https://openalex.org/W2006453614","https://openalex.org/W2009726262","https://openalex.org/W2016267457","https://openalex.org/W2021918757","https://openalex.org/W2027471022","https://openalex.org/W2052082370","https://openalex.org/W2083961700","https://openalex.org/W2092422002","https://openalex.org/W2120944818","https://openalex.org/W2134611999","https://openalex.org/W2137430899","https://openalex.org/W2138686302","https://openalex.org/W2148757108","https://openalex.org/W2171880861","https://openalex.org/W2522010265","https://openalex.org/W2951071508","https://openalex.org/W3141585064"],"related_works":["https://openalex.org/W2076520961","https://openalex.org/W2042251007","https://openalex.org/W2984111956","https://openalex.org/W2110365568","https://openalex.org/W2391943197","https://openalex.org/W4366152651","https://openalex.org/W3120333185","https://openalex.org/W4229021642","https://openalex.org/W4311571903","https://openalex.org/W4290998432"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
