TITLE:
Enhancing Security in QR Code Technology Using AI: Exploration and Mitigation Strategies
AUTHORS:
Saranya Vaithilingam, Santhosh Aradhya Mohan Shankar
KEYWORDS:
Artificial Intelligence, Cyber Security, QR Codes, Quishing, AI Framework, Machine Learning, AI-Enhanced Security
JOURNAL NAME:
International Journal of Intelligence Science,
Vol.14 No.2,
March
26,
2024
ABSTRACT: The widespread adoption of QR codes has revolutionized various
industries, streamlined transactions and improved inventory management.
However, this increased reliance on QR code technology also exposes it to
potential security risks that malicious actors can exploit. QR code Phishing,
or “Quishing”, is a type of phishing attack that leverages QR codes to deceive
individuals into visiting malicious websites or downloading harmful software.
These attacks can be particularly effective due to the growing popularity and
trust in QR codes. This paper examines the importance of enhancing the security
of QR codes through the utilization of artificial intelligence (AI). The
abstract investigates the integration of AI methods for identifying and
mitigating security threats associated with QR code usage. By assessing the
current state of QR code security and evaluating the effectiveness of AI-driven
solutions, this research aims to propose comprehensive strategies for
strengthening QR code technology’s resilience. The study contributes to discussions
on secure data encoding and retrieval, providing valuable insights into the
evolving synergy between QR codes and AI for the advancement of secure digital
communication.