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PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20220414T152032Z
DTSTART:20220504T120000Z
DTEND:20220504T131500Z
SUMMARY:Digital Trust & Security Seminar Series: Carolyn Swinney
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}y11l-kyu4ks
 rg-jfu62x
DESCRIPTION:Talk title: Software Defined Radios: RF Enabled Cyber Vulnera
 bility Exposure and Early Warning\n\nVenue: Manchester\, Oxford Road are
 a. Location details provided following registration\n\nThe Centre for Di
 gital Trust & Society\, part of the Digital Futures research community i
 s delighted to welcome Carolyn Swinney for an in-person\, special guest 
 seminar. \n\nOften when Cyber threats are considered\, fixed (or wired) 
 Internet connections are the assumed way that a target device is accesse
 d. However\, Radio Frequency (RF) links are becoming more prevalent in c
 onnected systems\, from 5G to driverless cars and even control systems f
 or Critical National Infrastructure. There is a growing need to consider
  RF links when securing networks and identifying potential vulnerabiliti
 es. Software Defined Radios (SDRs) expose vulnerabilities by providing a
  viable means to access or even deny access to these links. In this semi
 nar the term SDR will be defined and the capabilities of open-source sof
 tware in conjunction with low cost\, easily available devices on the mar
 ket today\, will be demonstrated through a practical implementation_. Re
 cent academic literature will highlight vulnerabilities to capabilities 
 from Global Navigation Satellite Systems (GNSS) position and timing info
 rmation to drone delivery services and remote keyless systems. However\,
  SDRs can also provide early warning of unwanted RF signals and\, in con
 junction with machine learning techniques\, can classify those signals w
 ith high accuracy. Hence\, the seminar will also explore the use of SDRs
  for the detection and classification of threats.\n\nSpeaker bio: Caroly
 n J. Swinney received a B.Eng.(hons.) degree (first class) in 2007 and a
  M.Sc.(dist.) in Electronics Engineering from the University of Essex\, 
 Colchester\, UK in 2013. She graduated as a Communications and Electroni
 cs Engineering Officer in the Royal Air Force in 2014. She currently wor
 ks within the Air and Space Warfare Centre and is working towards a Ph.D
 . degree in Electronic Systems Engineering at the University of Essex. H
 er main research interests are signal processing\, unmanned aerial vehic
 les\, neural networks\, machine learning and cyber security.\n\n* please
  note it is illegal to broadcast signals from an SDR without a license o
 r exemption. The experiments detailed in this seminar were conducted wit
 hin a Faraday Cage and no signals were radiated outside of that protecte
 d facility.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:The University of Manchester\, Oxford Rd\,\, Manchester\, M13 9P
 L
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