Research Highlights

I have been lucky to expeirece facinating, world-class projects. Some of them are listed as bellows:

Texture-based Paper Sheet Fingerprinting

a novel, reliable and fast identification adn authentication mechanisms based on unique texture patterns of a regular A4 paper sheet using off-the-shelf equipment.

Impact Summary

  • Two registered patents in the US
  • Several Media Coverage

Mobile Sensor Security

The first in-browser attack to mobile sensors using JavaScript sensor APIs. Here, we stealthily collect sensor data and infer user touch actions, PINs and passwords with high accuracy.

Impact Summary

  • Patched Severe Vunrabilities in Mozilla Firefox, Google Chrome and Applie Safari
  • W3C deviceorientation documentation added "Security and Privacy" section citing our work
  • Several Media Coverage

Protection against malicious Browser Extensions

Novel Protocol to establish a secure environment free of tampering in presence of malicious browser extensions. This is the first in-browser protection against Man-in-the-Browser (MitB) attacks.

Trustworthy Machine Learning

We address this fundamental question: "Should we trust machine learning or not?". To answer this question, we examine the technical qualities that a machine learning algorithm should possess to be considered as trustworthy by general public.

Past affiliations

  • Research Associate (Postdoctoral Researcher) at the Secure and Resillient Systems (SRS) Group of Newcastle University, Newcastle upon Tyne, UK, working with Prof. Aad van Moorsel (Januarary 2019 - August 2020)
  • Research Associate (Postdoctoral Researcher) at the Secure and Resillient Systems (SRS) Group of Newcastle University, Newcastle upon Tyne, UK, working with Prof. Feng Hao (June 2018 - Januarary 2019)
  • PhD at Newcastle University, Newcastle upon Tyne, UK, under supervision of Prof. Feng Hao, Thesis

All Projects

Year Status Name Deliverables
2020 Preparation for Submission Trustworthy Machine Learning N/A
2019 Finished Verifiable Electronic Voting
2019 Finished Protection against malicious Browser Extensions
2018 Finished Texture-based Paper Sheet Fingerprinting
2017 Finished Mobile Sensor Security
2017 Finished The Economist Challenge
2015 Finished Forensice Analysis of Private Browsing Vunrabilities in Browsers
2014 Finished Acoustic Side Channel Atatck to historic Enigma

Granst and Awards

Year Name Description Fund
2019 StandICT grant Grant to facilitate standadization impact in ICT £3k
2017 Economist and Kaspersky cybersecurity award Award on using Blockchain for e-voting. Our team was the only winner outside the USA in the top three finalists (in the UK, UCL and other universities also participated). $3k

Research Impact

Year Product Project Detail
2019 Patent in the USA Novel method for preventing counterfeiting of an object
2018 Mozilla Firefox Mozilla Firefox deployed a fix on Firefox 46 (CVE-2016-2813) for sensor access model Vunralibilities
2018 Apple iOS Apple included a fix on Safari in IOS 9.3 (CVE-2016-1780) for sensor access model Vunralibilities
2016 W3C Sepcific Privacy and Security section added to the Motion/Orientation standard document
2014 Apple Safari Vunralibilities found in Private Browsing (bug report #14685058)