Browsing Department of Computer Science and Engineering by Author "Li, Ming"

Now showing items 1-6 of 6

    • BLOCKCHAIN: RESOURCE UTILISATION ANALYSIS WITH A GAME THEORY PERSPECTIVE 

      Soni, Vaibhav (2019-05-10)
      Major blockchain networks are using proof-of-work based consensus protocols to establish trust and decentralize resource management with different incentive mechanisms for the participants or nodes in the network. We ...

    • EMAuth: A USABLE CONTINUOUS AUTHENTICATION SCHEME 

      Sivaraman, Vighnesh; 0009-0006-1372-2442 (2023-05-18)
      **Please note that the full text is embargoed until 05/12/2025** ABSTRACT: In recent years, wearables have become an integral part of daily life for most users. Wearables provide a seamless supplement to their main ...

    • EXTEND THE SENSING BOUNDARY OF MOBILE SYSTEMS: SECURITY AND NEW APPLICATIONS 

      Jin, Wenqiang (2021-04-28)
      The exploding growth of mobile devices like smartphones and wearables has envisioned various applications, which are developed to collect a wide spectrum of data using on-board device sensors and process them to serve ...

    • TaPIN: A Two-Factor User Authentication Scheme for Smartwatches through Secret Finger Tapping 

      Lohani, Akash (2020-05-11)
      Nowadays, smartwatches have become one of the most common wearable gadgets as they are small and portable. As more and more personal information is managed and processed inside smartwatches, it is important to have a secure ...

    • TOWARDS SECURITY AWARE CROWDSOURCING 

      Xiao, Mingyan (2022-08-01)
      Crowdsourcing has emerged as a novel problem-solving paradigm, which facilitates addressing problems by outsourcing them to the crowd. The openness of crowdsourcing renders it vulnerable to misbehaving workers that impair ...

    • User Syndication Using Speech Rhythm 

      Alnahhas, Faisal Z H (2019-08-08)
      In recent years we have seen a variety of approaches to increase security on computers and mobile devices including fingerprint, and facial recognition. Such techniques while effective are very expensive. Voice biometrics, ...