Difference between revisions of "AFSecurity Seminar"

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== Privacy Usability ==
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== ''Confidential Computing'' ==
  
 
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| '''TIME:'''&nbsp; Friday 18 November 2022, 14:00h<br />'''PLACE:'''&nbsp;  Kristen Nygaards Hall (Room 5370), 5th floor, IFI, UiO, Ole Johan Dahls hus, Gaustadalleen 23b, Oslo. [https://kart.finn.no/?lng=10.71782&lat=59.94342&zoom=17&mapType=normap&markers=10.71782,59.94342,r,Gaustadall%C3%A9en+23B See map].<br />
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| '''TIME:'''&nbsp; Friday 1 December 2023, 14:00h<br />'''PLACE:'''&nbsp;  Auditorium Smalltalk, 1st floor, IFI, UiO, Ole Johan Dahls hus, Gaustadalleen 23b, Oslo. [https://kart.finn.no/?lng=10.71782&lat=59.94342&zoom=17&mapType=normap&markers=10.71782,59.94342,r,Gaustadall%C3%A9en+23B See map].<br />
Coffee and snaks served.<br />
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All interested are welcome. Coffee and snaks served.<br />
 
<br />'''AGENDA:'''<br />
 
<br />'''AGENDA:'''<br />
14:00h Welcome at IFI and AF''Security''<br />14:15 Invited talk<br />
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14:00h Welcome to AFSecurity at UiO <br />
* TITLE: ''Employee-Centric Design of Technical and Organizational Privacy Measures'' &nbsp;
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14:15h Invited talk<br />
* SPEAKER: Jan Tolsdorf, Bonn-Rhein-Sieg University of Applied Sciences, Germany
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* TITLE: ''Confidential Computing'' &nbsp;
| <center>[[File:photo-Jan-Tolsdorf.jpg|150px|link=https://www.h-brs.de/en/inf/jan-tolsdorf]]</center>
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* SPEAKER: Ijlal Loutfi, Canonical 
| <center>&nbsp;&nbsp;[[File:logo-Bonn-Rhein-Sieg.png|300px|link=https://www.h-brs.de/de]]</center>
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| <center>[[File:photo-Ijlal-Loutfi.png|90px|link=https://www.linkedin.com/in/ijlal-loutfi-785125234/]]</center>
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| <center>[[File:logo-Canonical.png|320px|link=https://canonical.com/]]</center>
 
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* ABSTRACT:<br />The European General Data Protection Regulation (GDPR) requires the implementation of Technical and Organizational Measures (TOMs) to reduce the risk of illegitimate processing of personal data. For these measures to be effective, they must be applied correctly by employees who process personal data under the authority of their organization. However, even data processing employees often have limited knowledge of data protection policies and regulations, which increases the likelihood of misconduct and privacy breaches. To lower the likelihood of unintentional privacy breaches, TOMs must be developed with employees’ needs, capabilities, and usability requirements in mind. This talk provides insights into a user-centric design study with employees of two public institutions in Germany, with the aim of designing a solution to support data processing employees in handling personal data in a privacy-compliant manner. The presentation covers details on the development process and the evaluations.<br />
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* ABSTRACT:<br />Protecting data in-use has long been a challenging open problem in computer science. While being computed on in cleartext in system memory, your data stored in RAM is exposed to the millions lines of code that make up the underlying platform’s privileged system software. By design, a malicious firmware, or compromised operating system can easily leak your data, or compromise its integrity.<br /><br />Confidential computing is a privacy-enhancing system security primitive which addresses this challenge head-on, by running your security-sensitive processes in isolated execution environments whose security guarantees can be remotely attested. Its recent generations, such as Intel SGX, Intel TDX and AMD SEV SNP, make use of newer CPU hardware and architectural extensions, such as the AES-128 hardware encryption engine which encrypts RAM memory pages in real-time. Hardware with these capabilities is already available in the market, and public cloud providers have been one of its early adopters.<br /><br />In this presentation, we first visit the history of confidential computing, then study the technical system primitives which allow us to implement both isolation and attestation. We also explore the different silicon implementations of confidential computing, where they are deployed today, and for which uses cases.
  
'''BIO:''' &nbsp;  
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<br />15:00h Discussion<br />
<br />Jan Tolsdorf works as a research assistant in the Data and Application Security Group of Prof. Dr.-Ing. Luigi Lo Iacono at Bonn-Rhein-Sieg University of Applied Sciences, Germany. He has recently completed his PhD in Computer Science at the University of Göttingen, Germany. Jan’s research activities are in the area of usable security and privacy. The Talk covers findings from his research focusing on the study of human factors in privacy in the employment context.
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'''BIO:''' &nbsp; Dr. Ijlal Loutfi is the product lead for Ubuntu Security at Canonical. She has a PhD in cyber security from the University of Oslo, where she worked on Trusted Execution Environments and Identity Management.
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| [[File:AFSecurity-small.png|250px]]
 
| [[File:AFSecurity-small.png|250px]]
| AF''Security'' is organised by UiO [https://www.mn.uio.no/ifi/english/research/groups/sec/ Digital Security].
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| AF''Security'' is organised by UiO [https://www.mn.uio.no/ifi/forskning/grupper/sec/ Digital Security].
 
| [[File:logo-uio-english-2022.png|250px|link=https://www.mn.uio.no/]]
 
| [[File:logo-uio-english-2022.png|250px|link=https://www.mn.uio.no/]]
 
| [[File:Sec-light-360.png|150px|link=https://www.mn.uio.no/ifi/english/research/groups/sec/]]
 
| [[File:Sec-light-360.png|150px|link=https://www.mn.uio.no/ifi/english/research/groups/sec/]]
 
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Latest revision as of 15:30, 14 November 2023

Confidential Computing

TIME:  Friday 1 December 2023, 14:00h
PLACE:  Auditorium Smalltalk, 1st floor, IFI, UiO, Ole Johan Dahls hus, Gaustadalleen 23b, Oslo. See map.

All interested are welcome. Coffee and snaks served.

AGENDA:
14:00h Welcome to AFSecurity at UiO
14:15h Invited talk

  • TITLE: Confidential Computing  
  • SPEAKER: Ijlal Loutfi, Canonical
Photo-Ijlal-Loutfi.png
Logo-Canonical.png
  • ABSTRACT:
    Protecting data in-use has long been a challenging open problem in computer science. While being computed on in cleartext in system memory, your data stored in RAM is exposed to the millions lines of code that make up the underlying platform’s privileged system software. By design, a malicious firmware, or compromised operating system can easily leak your data, or compromise its integrity.

    Confidential computing is a privacy-enhancing system security primitive which addresses this challenge head-on, by running your security-sensitive processes in isolated execution environments whose security guarantees can be remotely attested. Its recent generations, such as Intel SGX, Intel TDX and AMD SEV SNP, make use of newer CPU hardware and architectural extensions, such as the AES-128 hardware encryption engine which encrypts RAM memory pages in real-time. Hardware with these capabilities is already available in the market, and public cloud providers have been one of its early adopters.

    In this presentation, we first visit the history of confidential computing, then study the technical system primitives which allow us to implement both isolation and attestation. We also explore the different silicon implementations of confidential computing, where they are deployed today, and for which uses cases.


15:00h Discussion

BIO:   Dr. Ijlal Loutfi is the product lead for Ubuntu Security at Canonical. She has a PhD in cyber security from the University of Oslo, where she worked on Trusted Execution Environments and Identity Management.




AFSecurity-small.png AFSecurity is organised by UiO Digital Security. Logo-uio-english-2022.png Sec-light-360.png