BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Canada/Eastern BEGIN:DAYLIGHT DTSTART:20200308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20201101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20200703T172647Z UID:5E2329A4-6F51-4314-B5A7-804E3A928DBA DTSTART;TZID=Canada/Eastern:20200629T130000 DTEND;TZID=Canada/Eastern:20200629T140000 DESCRIPTION:Abstract\n\nData security has become an integral part of today ’s digital market. With the advent of cloud computing and influx of onli ne services\, privacy of the users has become a challenge for the service providers. With a tremendous increase in the number of privacy breeches al l over the world\, privacy preserving strategies for the data in the cloud have been studies in greater depths. To address security issues of the da ta in the cloud\, privacy preserving techniques can be sub branched into E ncryption\, Differential Privacy and De-Identification. This talk covers t he research done in all the three areas in order to preserve the privacy o f the data from the cloud service provider or the third party mining the d ata. Encryption scheme can further be utilized to provide Data Deduplicati on strategy for the data in the cloud by keeping only one single copy of t he identical data coming from different users. This will save digital spac e and at the same time provide data security to the users. The sharing of images and videos has made the multimedia data to become a huge portion of the data in the cloud. This talks covers de- duplication strategies appli ed to multimedia data in the cloud.\n\nBiography\n\nFatema Rashid complete d her Bachelor of Science (BS) in Computer Science from National Universit y of Computer and Emerging Sciences\, Karachi\, Pakistan in 2004. She comp leted her Master of Science (MS)\, Computer Science from Ryerson Universit y\, Toronto in 2009 with the thesis entitled “Inverse Biometrics for Ke ystroke Dynamics”. Her PhD was completed in 2015 from Ryerson University and the title of the thesis was “ Secure Data Deduplication in Cloud En vironments”. She has the honour of being the first PhD of the Department of Computer Science at Ryerson University. She has published several publ ications with reputable journals like Journal of Information Security and Applications and conferences like IEEE Intl. Conference on BigData Computi ng Service and Applications\n\nIEEE World Congress on Services\, Annual In formation Technology\, Electronics and Mobile Communication Conference (IE MCON)\, Symposium on Cyberspace Safety and Security\, IEEE\n\nPrivacy\, an d Security and Trust (PST). She has also contributed a chapter for the boo k entitled “Guide to Big Data Applications by Springer”. She has worke d as Information Management Specialist at iG2 Inc.\, Toronto. During this period\, she contributed 3 white papers for the firm entitled “Interconn ected Vulnerability\, IoT and Next Generation Protection” \, “A framew ork for Inside Threat Vulnerability Assessment “ and “Cloud Security a nd IoT Security Foundations ”. She is currently involved as a Post Docto ral research fellow at Ryerson University and doing research in the area o f Big Data Security with Differential Privacy and Generative Adversial Net works. She is a member of iCasL Center at Ryerson University and involved in different projects of cyber security\, Big Data Security and Block Chai n Security. She has a vast teaching experience of more than 5 years rangin g from teaching as a lecturer in NUST\, Pakistan\, Ryerson University\, Ch ang School of Continuing Education and Centennial College\, Toronto. Durin g her education\, she has been awarded Queen Elizabeth II Graduate Scholar ship in Science and Technology two times at Ryerson University.\n\nZoom De tails:\n\nTopic: Data Deduplication techniques in the Cloud\n\nTime: Jun 2 9\, 2020 01:00 PM Eastern Time (US and Canada)\n\nJoin Zoom Meeting\n\nhtt ps://us02web.zoom.us/j/89988285148\n\nMeeting ID: 899 8828 5148\n\nOne tap mobile\n\n+13126266799\,\,89988285148# US (Chicago)\n\n+13462487799\,\,89 988285148# US (Houston)\n\nDial by your location\n\n+1 312 626 6799 US (Ch icago)\n\n+1 346 248 7799 US (Houston)\n\n+1 646 558 8656 US (New York)\n\ n+1 669 900 9128 US (San Jose)\n\n+1 253 215 8782 US (Tacoma)\n\n+1 301 71 5 8592 US (Germantown)\n\nMeeting ID: 899 8828 5148\n\nFind your local num ber: https://us02web.zoom.us/u/kcvSmT3V2B\n\nSpeaker(s): Dr. Fatema Rashid \, \n\nZoom Meeting https://us02web.zoom.us/j/89988285148\, Toronto\, Onta rio\, Canada LOCATION:Zoom Meeting https://us02web.zoom.us/j/89988285148\, Toronto\, Ont ario\, Canada ORGANIZER:ayda.naserialiabadi@ryerson.ca SEQUENCE:1 SUMMARY:Data Deduplication Techniques in the Cloud URL;VALUE=URI:https://events.vtools.ieee.org/m/233946 X-ALT-DESC:Description: <br /><p><strong>Abstract</strong></p>\n<p style="f ont-weight: 400\;">Data security has become an integral part of today&rsqu o\;s digital market. With the advent of cloud computing and influx of onli ne services\, privacy of the users has become a challenge for the service providers. With a tremendous increase in the number of privacy breeches al l over the world\, privacy preserving strategies for the data in the cloud have been studies in greater depths.&nbsp\; To address security issues of the data in the cloud\, privacy preserving techniques can be sub branched into Encryption\, Differential Privacy and De-Identification.&nbsp\; This talk covers the research done in all the three areas in order to preserve the privacy of the data from the cloud service provider or the third part y mining the data.&nbsp\; Encryption scheme can further be utilized to pro vide Data Deduplication strategy for the data in the cloud by keeping only one single copy of the identical data coming from different users. This w ill save digital space and at the same time provide data security to the u sers. The sharing of images and videos has made the multimedia data to bec ome a huge portion of the data in the cloud. This talks covers de- duplica tion strategies applied to multimedia data in the cloud.&nbsp\;</p>\n<p st yle="font-weight: 400\;">&nbsp\;</p>\n<p><strong>Biography</strong></p>\n< p>Fatema Rashid completed her Bachelor of Science (BS) in Computer Science from National University of Computer and Emerging Sciences\, Karachi\, Pa kistan in 2004. She completed her Master of Science (MS)\, Computer Scienc e from Ryerson University\, Toronto in 2009 with the thesis entitled&nbsp\ ;&nbsp\;<strong>&nbsp\;</strong>&ldquo\;Inverse Biometrics for Keystroke D ynamics&rdquo\;. Her PhD was completed in 2015 from Ryerson University and the title of the thesis was &ldquo\;&nbsp\;Secure Data Deduplication in C loud Environments&rdquo\;. &nbsp\;She has the honour of being the first Ph D of the Department of Computer Science at Ryerson University. She has pub lished several publications with reputable journals like Journal of Inform ation Security and Applications and conferences like IEEE Intl. Conference on BigData Computing Service and Applications</p>\n<p>IEEE World Congress on Services\,&nbsp\;<em>Annual Information Technology\, Electronics and M obile Communication Conference (IEMCON)</em>\, Symposium on Cyberspace Saf ety and Security\, IEEE</p>\n<p>Privacy\, and Security and Trust (PST). Sh e has also contributed a chapter for the book entitled &ldquo\;<em>Guide t o Big Data Applications</em>&nbsp\;by Springer&rdquo\;.&nbsp\;&nbsp\;She h as worked as&nbsp\;Information Management Specialist at iG2 Inc.\, Toronto .&nbsp\; During this period\, she contributed&nbsp\;&nbsp\;3 white papers for the firm entitled &ldquo\;Interconnected Vulnerability\, IoT and Next Generation Protection&rdquo\;&nbsp\;\, &ldquo\;A framework for Inside Thre at Vulnerability Assessment&nbsp\;&ldquo\; and &ldquo\;Cloud Security and IoT Security Foundations&nbsp\;&rdquo\;.&nbsp\; She is currently involved as a Post Doctoral research fellow at Ryerson University and doing researc h in the area of Big Data Security with Differential Privacy and Generativ e Adversial Networks. She is a member of iCasL Center at Ryerson Universit y and involved in different projects of cyber security\, Big Data Security and Block Chain Security. She has a vast teaching experience of more than 5 years ranging from teaching as a lecturer in NUST\, Pakistan\, Ryerson University\, Chang School of Continuing Education and Centennial College\, Toronto.&nbsp\; During her education\, she has been awarded Queen Elizabe th II Graduate Scholarship in Science and Technology two times at Ryerson University.&nbsp\;</p>\n<p>&nbsp\;</p>\n<p><strong>Zoom Details:</strong>< /p>\n<p>Topic: Data Deduplication techniques in the Cloud</p>\n<p>Time: Ju n 29\, 2020 01:00 PM Eastern Time (US and Canada)</p>\n<p><strong>Join Zoo m Meeting</strong></p>\n<p>https://us02web.zoom.us/j/89988285148</p>\n<p>M eeting ID: 899 8828 5148</p>\n<p>One tap mobile</p>\n<p>+13126266799\,\,89 988285148# US (Chicago)</p>\n<p>+13462487799\,\,89988285148# US (Houston)< /p>\n<p>&nbsp\;</p>\n<p>Dial by your location</p>\n<p>&nbsp\;&nbsp\;&nbsp\ ;&nbsp\;&nbsp\;&nbsp\;&nbsp\; +1 312 626 6799 US (Chicago)</p>\n<p>&nbsp\; &nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; +1 346 248 7799 US (Houston)</p >\n<p>&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; +1 646 558 8656 US (New York)</p>\n<p>&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; +1 6 69 900 9128 US (San Jose)</p>\n<p>&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp \;&nbsp\; +1 253 215 8782 US (Tacoma)</p>\n<p>&nbsp\;&nbsp\;&nbsp\;&nbsp\; &nbsp\;&nbsp\; &nbsp\;+1 301 715 8592 US (Germantown)</p>\n<p>Meeting ID: 899 8828 5148</p>\n<p>Find your local number: <a href="https://us02web.zoo m.us/u/kcvSmT3V2B">https://us02web.zoom.us/u/kcvSmT3V2B</a></p> END:VEVENT END:VCALENDAR