<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-WVYNBU78</identifier><date>2025</date><creator>Feng, Shijie</creator><relation>documents/doc/W/URN_NBN_SI_doc-WVYNBU78_001.pdf</relation><relation>documents/doc/W/URN_NBN_SI_doc-WVYNBU78_001.txt</relation><format format_type="volume">49</format><format format_type="issue">7</format><format format_type="type">article</format><format format_type="extent">str. 115-128</format><identifier identifier_type="DOI">10.31449/inf.v49i7.6676</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">236372739</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-WVYNBU78</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">globoke nevronske mreže</subject><subject language_type_id="slv">informacijska varnost</subject><subject language_type_id="slv">Paillierjevo šifriranje</subject><subject language_type_id="slv">pametne naprave</subject><subject language_type_id="slv">umetna inteligenca</subject><title>A paillier homomorphic encryption-based lightweight privacy protection model for mobile crowd sensing networks</title></Record>