{"id":"https://openalex.org/W2737855542","doi":"https://doi.org/10.1007/978-3-319-64798-2_13","title":"Eavesdropping Opponent Agent Communication Using Deep Learning","display_name":"Eavesdropping Opponent Agent Communication Using Deep Learning","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2737855542","doi":"https://doi.org/10.1007/978-3-319-64798-2_13","mag":"2737855542"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-64798-2_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-64798-2_13","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/A5016014514","display_name":"Thomas Gabel","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Thomas Gabel","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Frankfurt University of Applied Sciences, 60318, Frankfurt am Main, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Frankfurt University of Applied Sciences, 60318, Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102721858","display_name":"Alaa Tharwat","orcid":"https://orcid.org/0000-0003-4204-4506"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alaa Tharwat","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Frankfurt University of Applied Sciences, 60318, Frankfurt am Main, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Frankfurt University of Applied Sciences, 60318, Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074121145","display_name":"Eicke Godehardt","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eicke Godehardt","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Frankfurt University of Applied Sciences, 60318, Frankfurt am Main, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Frankfurt University of Applied Sciences, 60318, Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016014514"],"corresponding_institution_ids":["https://openalex.org/I114090438","https://openalex.org/I5237613"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.8477,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76087657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"205","last_page":"222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9973000288009644,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9973000288009644,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9789000153541565,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.876009464263916},{"id":"https://openalex.org/keywords/eavesdropping","display_name":"Eavesdropping","score":0.8249075412750244},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7480506300926208},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6252490878105164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6114975214004517},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.5828938484191895},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5650055408477783},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5308742523193359},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3547685444355011},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12273472547531128},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12167048454284668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.876009464263916},{"id":"https://openalex.org/C2776788033","wikidata":"https://www.wikidata.org/wiki/Q320769","display_name":"Eavesdropping","level":2,"score":0.8249075412750244},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7480506300926208},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6252490878105164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6114975214004517},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.5828938484191895},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5650055408477783},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5308742523193359},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3547685444355011},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12273472547531128},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12167048454284668},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-64798-2_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-64798-2_13","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W169539560","https://openalex.org/W196385879","https://openalex.org/W1498436455","https://openalex.org/W1519534184","https://openalex.org/W1572063013","https://openalex.org/W1578573078","https://openalex.org/W1605202242","https://openalex.org/W1976115983","https://openalex.org/W2019475197","https://openalex.org/W2103047651","https://openalex.org/W2107280071","https://openalex.org/W2127412976","https://openalex.org/W2136836265","https://openalex.org/W2137983211","https://openalex.org/W2141754131","https://openalex.org/W2145339207","https://openalex.org/W2169659168","https://openalex.org/W2185441746","https://openalex.org/W2257979135","https://openalex.org/W2903238042","https://openalex.org/W2964121744","https://openalex.org/W3146803896","https://openalex.org/W4253713382"],"related_works":["https://openalex.org/W112420819","https://openalex.org/W2918039754","https://openalex.org/W2889153935","https://openalex.org/W2982666975","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}