{"id":"https://openalex.org/W2918321791","doi":"https://doi.org/10.1145/3293663.3297155","title":"Artificial Intelligent Drone-Based Encrypted Machine Learning of Image Extraction Using Pretrained Convolutional Neural Network (CNN)","display_name":"Artificial Intelligent Drone-Based Encrypted Machine Learning of Image Extraction Using Pretrained Convolutional Neural Network (CNN)","publication_year":2018,"publication_date":"2018-11-23","ids":{"openalex":"https://openalex.org/W2918321791","doi":"https://doi.org/10.1145/3293663.3297155","mag":"2918321791"},"language":"en","primary_location":{"id":"doi:10.1145/3293663.3297155","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293663.3297155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Artificial Intelligence and Virtual Reality","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038720260","display_name":"Murad Shibli","orcid":null},"institutions":[{"id":"https://openalex.org/I117222138","display_name":"Abu Dhabi University","ror":"https://ror.org/01r3kjq03","country_code":"AE","type":"education","lineage":["https://openalex.org/I117222138"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Murad Al Shibli","raw_affiliation_strings":["Head of Autonomous and Artificial Intelligent System, Abu Dhabi Polytechnic, IAT, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Head of Autonomous and Artificial Intelligent System, Abu Dhabi Polytechnic, IAT, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I117222138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110679268","display_name":"Pascual Marqu\u00e9s","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pascual Marques","raw_affiliation_strings":["Oxford Aerospace Academy, Marques Aviation, President, Oxford, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oxford Aerospace Academy, Marques Aviation, President, Oxford, United Kingdom","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031959543","display_name":"Elena Spiridon","orcid":null},"institutions":[{"id":"https://openalex.org/I165525304","display_name":"Edge Hill University","ror":"https://ror.org/028ndzd53","country_code":"GB","type":"education","lineage":["https://openalex.org/I165525304"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Elena Spiridon","raw_affiliation_strings":["Edge Hill University, St. Helens Road, Ormskirk, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edge Hill University, St. Helens Road, Ormskirk, United Kingdom","institution_ids":["https://openalex.org/I165525304"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0759,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.43720449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7806933522224426},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.7790819406509399},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7469583749771118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7360413074493408},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5662677884101868},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5407974123954773},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5254182815551758},{"id":"https://openalex.org/keywords/bitwise-operation","display_name":"Bitwise operation","score":0.4808974266052246},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4479868710041046},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43217992782592773},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43110886216163635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3422069549560547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7806933522224426},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.7790819406509399},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7469583749771118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7360413074493408},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5662677884101868},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5407974123954773},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5254182815551758},{"id":"https://openalex.org/C134765980","wikidata":"https://www.wikidata.org/wiki/Q879126","display_name":"Bitwise operation","level":2,"score":0.4808974266052246},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4479868710041046},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43217992782592773},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43110886216163635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3422069549560547},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3293663.3297155","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293663.3297155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Artificial Intelligence and Virtual Reality","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/33e4107d-d435-4f53-ae40-79bcdb598f41","is_oa":false,"landing_page_url":"https://research.edgehill.ac.uk/en/publications/33e4107d-d435-4f53-ae40-79bcdb598f41","pdf_url":null,"source":{"id":"https://openalex.org/S4306402462","display_name":"Edge Hill University Research Information Repository (Edge Hill University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165525304","host_organization_name":"Edge Hill University","host_organization_lineage":["https://openalex.org/I165525304"],"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":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1486541123","https://openalex.org/W1542020576","https://openalex.org/W1976542806","https://openalex.org/W2019624342","https://openalex.org/W2037515965","https://openalex.org/W2098502158","https://openalex.org/W2098676252","https://openalex.org/W2126839357","https://openalex.org/W2154285665","https://openalex.org/W2167980885","https://openalex.org/W2189367265","https://openalex.org/W2396618805","https://openalex.org/W2419563217","https://openalex.org/W2726103191","https://openalex.org/W2782517840","https://openalex.org/W2786164505","https://openalex.org/W2801061858","https://openalex.org/W2808008027","https://openalex.org/W2884473836","https://openalex.org/W2964152344","https://openalex.org/W2978556550","https://openalex.org/W2992060177","https://openalex.org/W3098471535","https://openalex.org/W3101287485","https://openalex.org/W4240800887","https://openalex.org/W4243576136","https://openalex.org/W4251443534","https://openalex.org/W4285719527","https://openalex.org/W6600380258","https://openalex.org/W6770649413","https://openalex.org/W6990879328","https://openalex.org/W7008849106"],"related_works":["https://openalex.org/W1594590521","https://openalex.org/W1757511069","https://openalex.org/W3148559665","https://openalex.org/W3121932492","https://openalex.org/W4206055950","https://openalex.org/W4249748585","https://openalex.org/W1969683996","https://openalex.org/W2358812969","https://openalex.org/W2537598836","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Recently":[0],"Pretrained":[1,130],"Convolutional":[2],"Neural":[3],"Networks":[4],"(CNNs)":[5],"have":[6],"proven":[7],"its":[8,155],"effectiveness":[9,273],"in":[10,20,219],"image":[11,21,68,75,101,116,128,143,168,237,265],"extraction":[12],"and":[13,30,36,54,74,83,99,124,153,259,274],"classification.":[14],"This":[15,56],"powerful":[16],"feature":[17],"of":[18,45,49,67,105,112,115,186,202,205,276],"CNNs":[19],"processing":[22,266],"is":[23,145,171],"facilitated":[24],"by":[25,77,225,247],"machine":[26,65,106],"learning":[27,66,107],"to":[28,97,121,174,233,270],"train":[29],"classify":[31,100,123,133],"big":[32],"data.":[33,129],"Image":[34],"capturing":[35],"security":[37,253,275],"transformation":[38],"are":[39,94,160,268],"considered":[40],"as":[41],"a":[42,59,71,148,164,190,209,227,235],"central":[43],"necessity":[44],"remote":[46],"sensing":[47],"imagery":[48],"unmanned":[50],"aerial":[51],"vehicles":[52],"(UAVs)":[53],"drones.":[55],"paper":[57],"presents":[58],"novel":[60],"artificial":[61],"intelligent":[62],"drone-based":[63],"encrypted":[64],"classification":[69],"using":[70,151,213,251],"pertained":[72],"CNN":[73,131,140],"encryption-decryption":[76],"utilizing":[78],"singular":[79],"value":[80],"decomposition":[81,230],"(SVD)":[82],"XOR-Secret-Key":[84],"block":[85,255],"cipher":[86,192],"cryptology.":[87],"Initially,":[88],"pretrained":[89],"convolutional":[90],"neural":[91],"networks":[92],"(CNN)":[93],"extensively":[95],"used":[96],"extract":[98],"features":[102],"making":[103],"advantage":[104],"training":[108],"tools":[109],"features.":[110],"Training":[111],"partial":[113],"set":[114],"data":[117,169],"can":[118,132,244,281],"be":[119,223,239,245,282],"performed":[120],"test,":[122],"label":[125],"the":[126,139,141,181,187,195,199,203,220,249,252,272,277],"untrained":[127],"images":[134],"into":[135,147,163],"object":[136],"categories.":[137],"Afterward,":[138],"classified":[142],"output":[144,204],"transformed":[146],"digital":[149],"matrix":[150],"SVD":[152,229,264],"identifies":[154],"associated":[156],"eigenvalues.":[157],"These":[158],"eigenvalues":[159,188],"then":[161],"converted":[162],"binary":[165],"code.":[166],"The":[167,177,216,241],"encryption":[170,221],"implemented":[172,283],"according":[173,232],"suggested":[175],"keys.":[176],"first":[178],"part":[179,197,206],"applies":[180],"exclusive":[182],"OR":[183],"(XOR)":[184],"operation":[185,201],"with":[189,208],"selected":[191],"key.":[193],"Meanwhile,":[194],"second":[196],"implements":[198],"XOR":[200],"one":[207],"randomly":[210],"generated":[211],"key":[212],"Poisson":[214],"distribution.":[215],"last":[217],"step":[218],"will":[222,238],"obtained":[224],"generating":[226],"non-real":[228],"matrix;":[231],"which":[234],"non-readable":[236],"resulted.":[240],"original":[242],"image-matrix":[243],"constructed":[246],"reversing":[248],"process":[250],"key-cipher":[254],"(Poisson":[256],"Distribution":[257],"Key":[258],"Stand-alone":[260],"Cipher":[261],"Code).":[262],"Finally,":[263],"results":[267],"demonstrated":[269],"verify":[271],"applied":[278],"approach":[279],"that":[280],"for":[284],"different":[285],"images.":[286]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
