Generative AI for Secure User Interface (UI) Design
Siva Raja Sindiramutty, Krishna Raj V. Prabagaran, Rehan Akbar, Manzoor Hussain, Nazir Ahmed Malik
Taylor's University Universiti Malaysia Sarawak Florida International University Indus University
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摘要与影响
Generative AI, which is equipped with unique capabilities, is about to put the world of secure user interface (UI) design upside down and turn it into something full of endless possibilities in which users will be able to use the same opportunities and experienced solutions to protect their interaction in digital from any future security threats. This chapter takes a deep plunge into the merger of the generative AI with the secure user interface design, on the whole, presenting a complete exposition of the principals involved, methodologies applied, practical embodiment, and ultimate ramifications. The beginning will explore the building blocks of UI design principles and the user-centred iterative approach, wherein a robust framework for understanding Generative AI as a critical part of building secure, intuitive, and engaging user experiences is implemented. Further, it provides an overview of different types of generative AI approaches that could be deployed for secure UI design, such as GANs, VAEs, and autoregressive models, with their capabilities expanding the scope of security measures, which include authentication protocols, encryption, and user access rights while retaining usability and aesthetic appeal. Moreover, it surveys instance applications of the generative AI that support the Secure design of GUI, among the automatic generation of safe layout patterns, the dynamic change of the interface according to emerging threats, and the creation of cryptographic keys and secure symbols.
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计算机 / AIInnovative Human-Technology Interaction
User Authentication and Security Systems · Personal Information Management and User Behavior
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