CITATION.cff

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cff-version: 1.2.0
title: Clone Guard
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Daniella
    family-names: Gullotta
    email: danie9037@gmail.com
    affiliation: University of Canberra
  - given-names: David
    family-names: Prego
    email: davidprego77@gmail.com
    affiliation: University of Canberra
repository-code: 'https://github.com/daniegee/clone-guard'
abstract: >-
  Near-field communication (NFC) is widely used in access
  control systems such as payment processing and regulating
  access to facilities. Due to its decentralised nature, NFC
  is limited by resource constraints, making it vulnerable
  to exploits like key cloning. This study investigated the
  effectiveness of machine learning algorithms in visually
  distinguishing cards as an added security measure against
  unauthorised cloned cards.
keywords:
  - Near-Field Communication (NFC)
  - Access Control Systems
  - Machine Learning Classification
  - Deep Learning (CNN)
  - Key Cloning Prevention