BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2// METHOD:PUBLISH X-WR-CALNAME;VALUE=TEXT:Eventi DIAG BEGIN:VTIMEZONE TZID:Europe/Paris BEGIN:STANDARD DTSTART:20221030T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET END:STANDARD BEGIN:DAYLIGHT DTSTART:20220327T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RDATE:20230326T020000 TZNAME:CEST END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:calendar.24929.field_data.0@www.u-gov-ricerca.uniroma1.it DTSTAMP:20260405T115600Z CREATED:20221005T072116Z DESCRIPTION:AbstractCyber space is expanding fast with the introduction of new Internet of Things (IoT) and CPS devices. Wearables\, smart watches\, smart glasses\, fitness trackers\, medical devices\, Internet-connected ho use appliances and vehicles have grown exponentially in a short period of time. Given the increasingly critical nature of the cyberspace of these Io T devices and applications\, it is imperative that they are secured agains t malicious activities. In this talk\, I will introduce different current research projects in Cyber-Physical Systems Security Lab (CSL) (http://csl .fiu.edu) related to the security and privacy of IoT devices and applicati ons\, highlighting how different machine learning algorithms enabled impec cable results: (1) The first topic will introduce the sensory channel thre ats to CPS and IoT systems.I will discuss how using sensory channels (e.g. \, light\, temperature\, infrared)\, an adversary can successfully attack IoT/CPS applications and devices. (2) The second topic will introduce the design of a novel IoT device fingerprinting and identification framework t o complement existing security solutions (e.g.\, authentication and access control) in identifying IoT devices (i.e.\, ensuring the devices are actu ally who they are). (3) The third topic will focus on how IoT devices depl oyed in smart settings (e.g.\, home\, office) can leak sensitive informati on (events\, activities) from different IoT apps and implementations even if the traffic is encrypted. (4) I will introduce a usable wearable-assist ed continuous authentication framework where a wearable device (e.g.\, sma rtwatch) is used to authenticate a computer user continuously utilizing th e motion sensors of the wearable. Finally\, (5) I will share our most rece nt work in detecting illegal bitcoin operations (i.e.\, cryptojacking) tha t uses machine learning techniques to accurately detect the presence of un warranted cryptomining activity in real-time.BioDr. Uluagac is currently a n Eminent Scholar Chaired Associate Professor in the Department of Electri cal and Computer Engineering at FIU\, where he leads the Cyber-Physical Sy stems Security Lab\, with an additional courtesy appointment in the Knight Foundation School of Computing and Information Science. Before FIU\, he w as a Senior Research Engineer at Georgia Tech and Symantec. He holds a PhD from Georgia Tech and MS from Carnegie Mellon University. In 2015\, Dr. U luagac received a Faculty Early Career Development (CAREER) Award from the US National Science Foundation (NSF)\, which is NSF’s most prestigious aw ard in support of junior faculty who exemplify the role of teacher-scholar s through outstanding research\, excellent education and the integration o f education and research within the context of the mission of their organi zations. In 2015\, he was awarded the US Air Force Office of Sponsored Res earch (AFOSR)’s Summer Faculty Fellowship. In 2016\, he received the Facul ty Fellowship from the University of Padova\, Italy. He has also received other awards for the quality of his mentoring and research\, including (1) FIU Provost Office Top Scholar Award in Faculty with Notable Gains in Stu dent Learning and Success (Sciences) Category\, 2021\, (2) FIU College of Engineering and Computing Faculty Award in Excellence in Research and Crea tive Activities Category\, 2021\, (3) FIU Eminent Scholar Chaired Associat e Professor in the College of Engineering and Computing\, 202)\, In 2021\, he received Google’s ASPIRE Research award in security and privacy and re ceived a fellowship from the Sapienza University of Rome\, Italy in 2022. He is an expert in the areas of cybersecurity and privacy with an emphasis on their practical and applied aspects and teaches classes in these areas .He has hundreds of research papers/studies/publications in the most reput able venues. His research in cybersecurity and privacy has been funded by numerous government agencies and industry (surpassing $18M as of 08/22)\, including the US NSF\, the US Dept. of Energy\, US Air Force Research Lab\ , US Dept. of Labor\, Cyber Florida\, Google\, Microsoft\, Trend Micro\, a nd Cisco\, inter alia. He is very entrepreneurial and visionary with his r esearch. Many of his research ideas have resulted in patents with one lice nsed to a company recently. He is an active member of IEEE and ACM and a r egular contributor to national panels and leading journals and conferences in the field. Dr. Uluagac has served on the program committees of top-tie r security conferences such as IEEE S&P (Oakland)\, NDSS\, USENIX\, inter alia. He was the General Chair of ACM Conference on Security and Privacy i n Wireless and Mobile Networks (ACM WiSec) in 2019. He is the TPC Chair of 2022 IEEE CNS Conference. In 2018\, he co-chaired the US National Institu te of Standards and Technology (NIST)’s National Initiative for Cybersecur ity Education (NICE) Annual Expo and Conference. Currently\, he serves on the editorial boards of IEEE Transactions on Mobile Computing\, IEEE Commu nications and Surveys and Tutorials (network security lead area editor)\, and Elsevier Computer Networks.And\, he is very active in the local and na tional community\; his research has been covered by different media outlet s (TV\, online\, published) numerous times. More information can be obtain ed from http://nweb.eng.fiu.edu/selcuk/ DTSTART;TZID=Europe/Paris:20221006T140000 DTEND;TZID=Europe/Paris:20221006T140000 LAST-MODIFIED:20221005T073952Z LOCATION:Room A4\, Online: https://uniroma1.zoom.us/j/98711527220 SUMMARY:Security and Privacy of IoT Apps and Devices - Prof. Selcuk Uluagak (visiting professor) URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/24929 END:VEVENT END:VCALENDAR