Dr. Yury Zhauniarovich


Postdoctoral researcher
Cyber Security

Connect with me

Personal website: http://zhauniarovich.com


Github: https://github.com/zyrikby


LinkedIn: https://www.linkedin.com/in/zhauniarovich


Researchgate: http://www.researchgate.net/profile/Yury_Zhauniarovich

Research Focus at QCRI

Yury Zhauniarovich's research interests include the design, implementation and evaluation of security enhancements of mobile operating systems, runtime security, smartphone applications security and mobile malware.

In addition to that, he is also interested in applying machine learning techniques to security-related problems, e.g., user authentication, detection of malicious domains and analysis of the amplification DDoS attacks.

At QCRI, he is mainly involved in two projects: QaCIP and MADA. The aim of the former is to build a scalable cyber-intelligence platform. The focus of the latter is detection of the domains involved in malicious activities.

Previous Experience

Yury is a Postdoctoral Researcher QCRI's Cyber Security Group.

In 2014-2015, he was a Postdoctoral Researcher at the University of Trento's Security Research Group.

From 2007 till 2009, he worked in Itransition, the third biggest IT company in Belarus.

Also, during his MSc studies he served as a part-time software engineer at the university.




Professional Experience


Professional Associations and Awards


Education

Yury received his PhD degree (supported by a full scholarship from the University of Trento) in Information and Communication Technology from the University of Trento, Italy in April, 2014.


In 2007, he received his MSc degree in Computer Science from the Belarusian State University (Belarus).

Selected Research

  • Yury Zhauniarovich and Olga Gadyatskaya. "Small Changes, Big Changes: An Updated View on the Android Permission System". In Proceedings of 19th International Symposium on Research in Attacks, Intrusions and Defenses, pages 346–367, 2016.
  • Michael Aupetit, Yury Zhauniarovich, Giorgos Vasiliadis, Marc Dacier, and Yazan Boshmaf. "Visualization of Actionable Knowledge to Mitigate DRDoS Attacks". In Proceedings of the 2016 IEEE Symposium on Visualization for Cyber Security (VizSec), pages 1–8, 2016.
  • Yury Zhauniarovich, Maqsood Ahmad, Olga Gadyatskaya, Bruno Crispo, and Fabio Massacci. "StaDynA: Addressing the Problem of Dynamic Code Updates in the Security Analysis of Android Applications". In Proceedings of the 5th ACM Conference on Data and Application Security and Privacy, pages 37–48, 2015.
  • Yury Zhauniarovich, Olga Gadyatskaya, Bruno Crispo, Francesco La Spina, and Ermanno Moser. "FSquaDRA: Fast Detection of Repackaged Applications". In Proceedings of the 28th Annual IFIP WG 11.3 Working Conference on Data and Applications Security and Privacy, pages 131–146, 2014
  • Yury Zhauniarovich, Giovanni Russello, Mauro Conti, Bruno Crispo, and Earlence Fernandes. "MOSES: Supporting and Enforcing Security Profiles on Smartphones". IEEE Transactions on Dependable and Secure Computing, 11(3):211–223, May 2014.

Connect with me

Personal website: http://zhauniarovich.com


Github: https://github.com/zyrikby


LinkedIn: https://www.linkedin.com/in/zhauniarovich


Researchgate: http://www.researchgate.net/profile/Yury_Zhauniarovich

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Past Events

2018

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QCRI Summer Internship Program

Download ICS File 06/05/2018  - 05/07/2018 , Hamad Bin Khalifa Research Complex

Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.

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Public Talk by Prof. Regina Barzilay "Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text"

Download ICS File 27/03/2018 ,

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QCRI & MIT-CSAIL Annual Project Review 2018

Download ICS File 27/03/2018 ,

Executive Overview Sessions Open to public Date:    Tuesday, March 27, 2018 Time:    9:00AM – 3:00PM Venue:  HBKU Research Complex Multipurpose Room To view full agenda, please click here . To RSVP, ...

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News Releases

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QCAI to Conduct Joint Machine Learning School with BigML

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Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.

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