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PRODID:IEEE vTools.Events//EN
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TZID:Canada/Pacific
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DTSTART:20170312T030000
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BEGIN:VEVENT
DTSTAMP:20170201T053447Z
UID:251DBE71-E840-11E6-A7C6-0050568D7F66
DTSTART;TZID=Canada/Pacific:20170216T173000
DTEND;TZID=Canada/Pacific:20170216T183000
DESCRIPTION:The availability of powerful smartphones and the necessity of s
 ecurity in mobile devices have made researchers propose multiple security 
 modes (e.g.\, home\, office\, outdoor\, and financial) for such devices. I
 n each mode\, a user can install a different set of apps. However\, in mos
 t of the cases\, the user has to select the mode manually. If we can sense
  the smartphone's security context accurately\, then it is possible to swi
 tch between different security modes automatically. Also\, smartphone oper
 ating systems are becoming ubiquitous. As a result\, mobile apps need to b
 ehave differently based on the security context (e.g.\, not sending the da
 ta if the network is insecure). In this talk\, we focus on sensing differe
 nt security parameters (e.g.\, location\, is-network-encrypted) and calcul
 ating the security context from the parameters. We also talk about a secur
 ity context management framework that maintains a cache of security contex
 ts and parameters to be used by the operating system and third-party appli
 cations. As detecting contexts requires the use of power-hungry smartphone
  sensors\, a comprehensive framework for sharing security parameters among
  various applications can be beneficial in terms of energy and other resou
 rce expenses.\n\nCo-sponsored by: UBC Okanagan\n\nSpeaker(s): Md Shahrear 
 Iqbal \, \, Md Shahrear Iqbal \, \n\nRoom: 1151\, Bldg: EME\, UBC\, Okanag
 an Campus\, 3333 University Way\, Kelowna\, British Columbia\, Canada\, V1
 Y 4X8
LOCATION:Room: 1151\, Bldg: EME\, UBC\, Okanagan Campus\, 3333 University W
 ay\, Kelowna\, British Columbia\, Canada\, V1Y 4X8
ORGANIZER:jahangir.hossain@ubc.ca
SEQUENCE:0
SUMMARY:Secure Context Detection in Smartphones
URL;VALUE=URI:https://events.vtools.ieee.org/m/43547
X-ALT-DESC:Description: <br /><p>The availability of powerful smartphones a
 nd the necessity of security in mobile devices have made researchers propo
 se multiple security modes (e.g.\, home\, office\, outdoor\, and financial
 ) for such devices. In each mode\, a user can install a different set of a
 pps. However\, in most of the cases\, the user has to select the mode manu
 ally. If we can sense the smartphone's security context accurately\, then 
 it is possible to switch between different security modes automatically. A
 lso\, smartphone operating systems are becoming ubiquitous. As a result\, 
 mobile apps need to behave differently based on the security context (e.g.
 \, not sending the data if the network is insecure). In this talk\, we foc
 us on sensing different security parameters (e.g.\, location\, is-network-
 encrypted) and calculating the security context from the parameters. We al
 so talk about a security context management framework that maintains a cac
 he of security contexts and parameters to be used by the operating system 
 and third-party applications. As detecting contexts requires the use of po
 wer-hungry smartphone sensors\, a comprehensive framework for sharing secu
 rity parameters among various applications can be beneficial in terms of e
 nergy and other resource expenses.</p>
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