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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Australia/Brisbane
BEGIN:STANDARD
DTSTART:19920301T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
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BEGIN:VEVENT
DTSTAMP:20180503T000000Z
UID:3855019E-DDA6-11E7-833E-0050568D7F66
DTSTART;TZID=Australia/Brisbane:20180118T160000
DTEND;TZID=Australia/Brisbane:20180118T180000
DESCRIPTION:The massive deployment of advanced metering infrastructures and
  smart home energy systems has mandated a transformative shift of the clas
 sical grid towards a more reliable smart grid. Despite its importance\, su
 ch a cyber-physical system is vulnerable to various cyberattacks such as p
 ricing cyberattack and energy theft. In this talk\, I will first show that
  due to the interdependence between utility pricing and customer energy lo
 ad\, an attacker could tamper with smart meters for electricity bill manip
 ulation and energy load unbalancing. I will then discuss some advanced alg
 orithmic and control theoretic techniques to defend against those attacks\
 , such as partially observable Markov decision process based detection\, c
 ross entropy optimization based sensor deployment\, etc. I will conclude t
 he talk with some of the ongoing research in this direction.\n\nSpeaker(s)
 : Professor Shiyan Hu\, \n\nRoom: T105\, Bldg: Hawken Engineering\, The Un
 iversity of Queensland\, St Lucia Campus\, Brisbane\, Queensland\, Austral
 ia
LOCATION:Room: T105\, Bldg: Hawken Engineering\, The University of Queensla
 nd\, St Lucia Campus\, Brisbane\, Queensland\, Australia
ORGANIZER:to.rajib.rana@gmail.com
SEQUENCE:0
SUMMARY:Smart Energy Cyber-Physical System Security: Threat Analysis and De
 fense Technologies
URL;VALUE=URI:https://events.vtools.ieee.org/m/49019
X-ALT-DESC:Description: <br /><p>The massive deployment of advanced meterin
 g infrastructures and smart home energy systems has mandated a transformat
 ive shift of the classical grid towards a more reliable smart grid. Despit
 e its importance\, such a cyber-physical system is vulnerable to various c
 yberattacks such as pricing cyberattack and energy theft. In this talk\, I
  will first show that due to the interdependence between utility pricing a
 nd customer energy load\, an attacker could tamper with smart meters for e
 lectricity bill manipulation and energy load unbalancing. I will then disc
 uss some advanced algorithmic and control theoretic techniques to defend a
 gainst those attacks\, such as partially observable Markov decision proces
 s based detection\, cross entropy optimization based sensor deployment\, e
 tc. I will conclude the talk with some of the ongoing research in this dir
 ection.</p>
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