<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>Enabling Deep Visibility into VxWorks-Based Embedded Controllers in Cyber-Physical Systems for Anomaly Detection</dc:title><dc:creator>Krishnamurthy, Prashanth [Department of ECE, NYU Tandon School of Engineering, United States]; Karri, Ramesh [Department of ECE, NYU Tandon School of Engineering, United States]; Khorrami, Farshad [Department of ECE, NYU Tandon School of Engineering, United States]</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher>IEEE</dc:publisher><dc:date>2025-01-01</dc:date><dc:nsf_par_id>10646431</dc:nsf_par_id><dc:journal_name>IEEE Micro</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>1 to 12</dc:page_range_or_elocation><dc:issn>0272-1732</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1109/MM.2025.3617807</dc:doi><dcq:identifierAwardId>2039615</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>