{"id":41084,"date":"2020-09-21T10:40:16","date_gmt":"2020-09-21T08:40:16","guid":{"rendered":"https:\/\/fhi.nl\/nieuws\/keysights-cx3300-anomalous-waveform-analytics-contributes-to-waseda-universitys-hardware-trojan-detection-research\/"},"modified":"2025-03-06T16:11:35","modified_gmt":"2025-03-06T15:11:35","slug":"keysights-cx3300-anomalous-waveform-analytics-contributes-to-waseda-universitys-hardware-trojan-detection-research","status":"publish","type":"news","link":"https:\/\/fhi.nl\/en\/news\/keysights-cx3300-anomalous-waveform-analytics-contributes-to-waseda-universitys-hardware-trojan-detection-research\/","title":{"rendered":"Keysight&#039;s CX3300 Anomalous Waveform Analytics Contributes to Waseda University&#039;s Hardware Trojan Detection Research"},"content":{"rendered":"<header id=\"header\" class=\"header header--low\">\n\n\t\n\t\t\t<div class=\"header__background header__background--graphic\"><\/div>\n\t\n\t<div class=\"container\">\n\t\t<div class=\"header__content\">\n\t\t\t<div class=\"header__first header__first--alone\">\n\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<h1 class=\"header__title\" >\n\t\t\t\t\tKeysight&#039;s CX3300 Anomalous Waveform Analytics Contributes to Waseda University&#039;s Hardware Trojan Detection Research\t\t\t\t<\/h1>\n\n\t\t\t\t<div class=\"header__dots-line\">\n\t\t\t\t\t<svg width=\"431\" height=\"9\" viewbox=\"0 0 431 9\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M430.799 4.192a1.136 1.136 0 1 1-2.272-.001 1.136 1.136 0 0 1 2.272 0Zm-27.272 0a1.135 1.135 0 1 1-2.27 0 1.135 1.135 0 0 1 2.27 0Zm-27.27 0a1.136 1.136 0 1 1-2.272-.001 1.136 1.136 0 0 1 2.272 0Zm-27.272 0a1.39 1.39 0 1 1-2.78 0 1.39 1.39 0 0 1 2.78 0Zm-27.78 0a1.645 1.645 0 1 1-3.29 0 1.645 1.645 0 0 1 3.29 0Zm-28.29 0a1.9 1.9 0 1 1-3.799 0 1.9 1.9 0 0 1 3.799 0Zm-28.799 0a2.154 2.154 0 1 1-4.308 0 2.154 2.154 0 0 1 4.308 0Zm-29.308 0a2.41 2.41 0 1 1-4.819 0 2.41 2.41 0 0 1 4.819 0Zm-29.819 0a2.663 2.663 0 1 1-5.326.001 2.663 2.663 0 0 1 5.326-.001Zm-30.327 0a2.919 2.919 0 1 1-5.837 0 2.919 2.919 0 0 1 5.837 0Zm-30.837 0a3.173 3.173 0 1 1-6.345.001 3.173 3.173 0 0 1 6.345 0Zm-31.346 0a3.428 3.428 0 1 1-6.856 0 3.428 3.428 0 0 1 6.856 0Zm-31.856 0a3.683 3.683 0 1 1-7.365 0 3.683 3.683 0 0 1 7.365 0Zm-32.365 0a3.937 3.937 0 1 1-7.875 0 3.937 3.937 0 0 1 7.875 0Zm-32.874 0a4.192 4.192 0 1 1-8.384 0 4.192 4.192 0 0 1 8.384 0Z\" fill=\"#FFF960\"\/><\/svg>\t\t\t\t<\/div>\n\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<\/header>\n\n\n\n<div class=\"text bg--white\">\n\t<div class=\"container\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"text__content text__content--1-col\">\n\t\t\t<h3>Machine learning based analytics quickly detects security threats hidden in electronic circuits<\/h3>\r\n\r\n\r\n<p>Keysight Technologies, Inc. (NYSE: KEYS), a leading technology company that helps enterprises, service providers and governments accelerate innovation to connect and secure the world, announced that Keysight&#039;s\u00a0<a href=\"https:\/\/www.keysight.com\/en\/pc-2633352\/device-current-waveform-analyzers?nid=-32302.0&amp;cc=US&amp;lc=eng\">CX3300 Device Current Waveform Analyzer<\/a>\u00a0with anomalous waveform analytics (AWA) software was selected by\u00a0<a href=\"https:\/\/www.waseda.jp\/top\/en\/\">Waseda University<\/a>\u00a0to conduct research on\u00a0<a href=\"https:\/\/www.keysight.com\/us\/en\/assets\/3120-1218\/product-fact-sheets\/Accelerate-HW-Trojan-Detection-Technology-Development-for-Robust-IoT-Device.pdf\">hardware Trojan detection technology<\/a>.<\/p>\r\n<p>While the use of the IoT (Internet of Things) is expanding, outsourcing of circuit design and manufacturing from in-house, as well as the use of IP progressed from other companies, is increasing. As a result, cybersecurity threats due to hardware trojans, which are circuits that behave maliciously in electronic devices, are on the rise.<\/p>\r\n<p>Waseda University Faculty of Science and Engineering is investigating the characteristics of hardware Trojans and research methods to avoid security risks. Keysight&#039;s CX3300A features wide dynamic range and bandwidth, low noise, unique voltage\/current measurement sensitivity, and a long-time data logger function that can capture waveforms of up to 100 hours without time lag. In addition, the AWA function can detect differences in the waveforms of the device and classify them as waveform patterns. This allows quick characterization\/verification, as well as debug\/troubleshooting and optimization of IoT connected devices.<\/p>\r\n<p>\u201cKeysight&#039;s CX3300 solution is capable of recording high speed waveforms at sampling rates of up to 10 million times per second. In addition, the anomalous waveform analytics enables accurate circuit analysis in a short time, which has significantly accelerated our research,\u201d said Professor Nozomu Togawa from the Faculty of Science and Engineering department at Waseda University.<\/p>\r\n<p>\u201cKeysight is delighted that Waseda University in Tokyo utilized the CX3300 Device Current Waveform Analyzer to research and detect IoT security threats,\u201d said Christopher Cain, vice president and general manager of Keysight Technologies Electronic Industrial Products. \u201cKeysight&#039;s CX3300 offers wide measurement bandwidth, high resolution and low noise, which makes it ideally suited to provide design engineers deep insights into dynamic current and voltage waveforms. The recent addition of very long duration measurement recording and waveform analytics, enable design engineers to capture and explore rare events to realize their high-performance designs.\u201d<\/p>\r\n\r\n\r\n\r\n\r\n<p><strong>About Keysight Technologies<\/strong><\/p>\r\n<p>Keysight Technologies, Inc. (NYSE: KEYS) is a leading technology company that helps enterprises, service providers and governments accelerate innovation to connect and secure the world. Keysight&#039;s solutions optimize networks and bring electronic products to market faster and at a lower cost with offerings from design simulation, to prototype validation, to manufacturing test, to optimization in networks and cloud environments. Customers span the worldwide communications ecosystem, aerospace and defense, automotive, energy, semiconductor and general electronics end markets. Keysight generated revenues of $4.3B in fiscal year 2019. More information is available at\u00a0<a href=\"https:\/\/www.keysight.com\/\">www.keysight.com.<\/a><\/p>\r\n\r\n\t\t<\/div>\n\t<\/div>\n<\/div>\r\n\t<div class=\"articles bg--offwhite automatic\">\r\n\t\t<div class=\"container\">\r\n\t\t\t<div class=\"articles__header\">\r\n\t\t\t\t\t\t\t\t\t<div class='heading-wrapper'><svg width=\"13\" height=\"13\" viewbox=\"0 0 13 13\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><circle cx=\"6.394\" cy=\"6.5\" r=\"6.394\" fill=\"#000\"\/><\/svg><h2>Related articles<\/h2><\/div>\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/en\/profiel\/keysight-technologies-netherlands-b-v\/\" class=\"button button--outline\">view profile<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"post-grid post-grid--no-padding\">\r\n\t\t\t\t\n<a class=\"single-item single-item__articles\" href=\"https:\/\/fhi.nl\/en\/news\/kort-economisch-nieuws-van-26-april-2021\/\" data-id=\"39162\">\n\t<div class=\"single-item__articles-icon\">\n\t\t<svg width=\"35\" 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class=\"single-item__articles-date\">\n\t\t\t\tAugust 15, 2019\t\t\t<\/div>\n\t\t\t<\/div>\n<\/a>\n\n<a class=\"single-item single-item__articles\" href=\"https:\/\/fhi.nl\/en\/news\/dynamic-headspace-module-for-the-cds-7000c-purge-trap\/\" data-id=\"43677\">\n\t<div class=\"single-item__articles-icon\">\n\t\t<svg width=\"82\" height=\"98\" viewbox=\"0 0 82 98\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M26.5586 7.96501C26.5586 6.61879 26.8909 5.49682 27.3233 4.77796C27.7792 4.02009 28.1318 4 28.1466 4H55.0564C55.0712 4 55.4238 4.02009 55.8796 4.77796C56.312 5.49682 56.6444 6.61879 56.6444 7.96501C56.6444 9.31122 56.312 10.4332 55.8796 11.1521C55.4238 11.9099 55.0712 11.93 55.0564 11.93H54.2487C53.8841 11.5449 53.3681 11.3047 52.796 11.3047H28.981C28.5233 11.3047 28.1015 11.4584 27.7644 11.7171C27.6381 11.602 27.4874 11.4248 27.3233 11.1521C26.8909 10.4332 26.5586 9.31122 26.5586 7.96501ZM26.981 15.7683C25.6024 15.3755 24.5619 14.3215 23.8956 13.2138C23.0294 11.7738 22.5586 9.91326 22.5586 7.96501C22.5586 6.01675 23.0294 4.15622 23.8956 2.71619C24.7383 1.31517 26.1797 0 28.1466 0H55.0564C57.0232 0 58.4646 1.31517 59.3073 2.71619C60.1735 4.15622 60.6444 6.01675 60.6444 7.96501C60.6444 9.91326 60.1735 11.7738 59.3073 13.2138C58.4646 14.6148 57.0232 15.93 55.0564 15.93H54.796V40.3243L80.5327 84.0062L80.5391 84.0172L80.5503 84.0368C84.0711 90.2609 79.5954 97.9997 72.4362 97.9997H9.34052C2.18152 97.9997 -2.29415 90.2608 1.22665 84.0368C1.23243 84.0265 1.23831 84.0163 1.24428 84.0062L26.981 40.3243V15.7683ZM30.981 15.93V35.792H39.161C40.2655 35.792 41.161 36.6874 41.161 37.792C41.161 38.8966 40.2655 39.792 39.161 39.792H30.981V40.8697C30.981 41.2268 30.8854 41.5773 30.7041 41.8849L21.3184 57.8149H60.4585L51.0728 41.8849C50.8916 41.5773 50.796 41.2268 50.796 40.8697V15.93H30.981ZM62.8152 61.8148C62.8065 61.8149 62.7978 61.8149 62.7891 61.8149H19.4727C19.3082 61.8149 19.1484 61.7951 18.9954 61.7577L4.70016 86.0205C2.69212 89.5942 5.27194 93.9997 9.34052 93.9997H72.4362C76.5051 93.9997 79.0848 89.5941 77.0768 86.0205L62.8152 61.8148Z\" fill=\"#FFDA56\"\/>\n<\/svg>\n\t<\/div>\n\t<div class=\"single-item__articles-title\"><div class='heading-wrapper'><h3>DYNAMIC HEADSPACE MODULE FOR THE CDS 7000C PURGE &amp; TRAP<\/h3><\/div><\/div>\n\t<div class=\"single-item__articles-terms\">\n\t\t\n\t\t\n\t\t\t\t\t\t<span class=\"button button--outline single-item__articles-term--branche single-item__articles-term\">Laboratory Technology<\/span>\n\t\t\t\t\t\t\t\t<span class=\"button button--outline single-item__articles-term--branche single-item__articles-term\">Members content<\/span>\n\t\t\t\t\t<\/div>\n\t<div class=\"single-item__articles-author-date-wrapper\">\n\t\t\t\t\t<div class=\"single-item__articles-author\">\n\t\t\t\tJSB, Joint Analytical Systems Benelux\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"single-item__articles-date\">\n\t\t\t\tAugust 21, 2019\t\t\t<\/div>\n\t\t\t<\/div>\n<\/a>\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"featured_media":41085,"template":"","branches":[],"events":[60,370],"secretariat":[],"categories":[],"themes_tax":[],"content_types":[514],"class_list":["post-41084","news","type-news","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Keysight&#039;s CX3300 Anomalous Waveform Analytics Contributes to Waseda University&#039;s Hardware Trojan Detection Research - FHI, Federatie van technologiebranches<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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