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UID:20250919T013641EDT-6473l742Oc@132.216.98.100
DTSTAMP:20250919T053641Z
DESCRIPTION:Abstract:\n\nWith the unprecedented need for remote working and
  virtual retail\, there has been a worldwide surge in the adoption of clou
 d and edge computing. On the other hand\, the significant reliance on virt
 ual services has rendered the underlying cloud environments supporting tho
 se services an attractive target for cyber criminals. To address this\, th
 e main focus of my research is to enable effective and efficient investigat
 ion of security incidents and their root causes through provenance-based s
 olutions in virtualized environments including clouds\, containers\, netwo
 rk functions virtualization (NFV)\, etc. First\, I present DominoBlocker\,
  the first provenance analysis solution facilitating forensic investigatio
 n and prevention of security incidents in clouds by tracing the dependenci
 es between cloud management operations\, instead of low-level system calls
 . Second\, I present ProvTalk\, the first multi-level provenance system fo
 r NFV built for capturing the relationship between management operations a
 cross different levels of the NFV stack\, and increasing the interpretabil
 ity of the logged information by leveraging the inherent cross-level depen
 dencies. Third\, I present VinciDecoder\, a framework to automatically gen
 erate human readable forensic reports for security incidents using neural 
 machine translation (NMT). Finally\, I will discuss my ongoing and future 
 research plan on addressing some of the fundamental security challenges in
  virtualized environments through leveraging provenance analysis.\n\nBio:
 \n\nAzadeh Tabiban is currently a Ph.D. candidate at Concordia University 
 (with Prof. Lingyu Wang and Prof. Makan Pourzandi)\, and she has been work
 ing as a research assistant on industry-sponsored projects since 2017. Her
  Ph.D. research focuses on provenance-based root cause analysis of securit
 y incidents in virtualized environments such as clouds\, containers\, and 
 Network Functions Virtualization (NFV). Her recent work on provenance anal
 ysis for NFV has been accepted by\n\nNDSS’22 (a top-tier\, “Big 4” confere
 nce in security research\, acceptance ratio 16.2%\, as the only accepted w
 ork from Canada)\, and her work on provenance analysis in clouds has been 
 published and selected as a best paper candidate at CNS’20. Her work has a
 lso led to a US patent application\, and several demos and presentations g
 iven at major industrial events. During her master’s study\, she worked as
  an Ericsson/Concordia Mitacs intern on cloud security auditing\, and she 
 has co-authored publications at prestigious venues such as ESORICS’19 and 
 Journal of Computer Security. She has also served as a guest lecturer and 
 teaching assistant for many cybersecurity classes and as a research mentor
  for several graduate students.\n\nThis talk is free and open to all\n
DTSTART:20220920T133000Z
DTEND:20220920T150000Z
LOCATION:Rm. 106\, Peel 3661\, CA\, QC\, Montreal\, H3A 1X1\, 3661 rue Peel
SUMMARY:Job Talk: Provenance Analysis in Virtualized Environments
URL:/sis/channels/event/job-talk-provenance-analysis-v
 irtualized-environments-341982
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