<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-BUGDVMJU</identifier><date>2025</date><creator>Hu, Jian</creator><relation>documents/doc/B/URN_NBN_SI_doc-BUGDVMJU_001.pdf</relation><relation>documents/doc/B/URN_NBN_SI_doc-BUGDVMJU_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. 175-185</format><identifier identifier_type="DOI">10.31449/inf.v49i7.7246</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">236793859</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-BUGDVMJU</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">dostop do podatkov</subject><subject language_type_id="slv">kibernetska varnost</subject><subject language_type_id="slv">metoda GAN+Encoder</subject><subject language_type_id="slv">omrežni dostop</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Anomaly detection in network access-using LSTM and encoder-enhanced generative adversarial networks</title></Record>