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Autori principali: Taheritajar, Alireza, Rahaeimehr, Reza
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2403.08740
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author Taheritajar, Alireza
Rahaeimehr, Reza
author_facet Taheritajar, Alireza
Rahaeimehr, Reza
contents Acoustic side-channel attacks on keyboards can bypass security measures in many systems that use keyboards as one of the input devices. These attacks aim to reveal users' sensitive information by targeting the sounds made by their keyboards as they type. Most existing approaches in this field ignore the negative impacts of typing patterns and environmental noise in their results. This paper seeks to address these shortcomings by proposing an applicable method that takes into account the user's typing pattern in a realistic environment. Our method achieved an average success rate of 43% across all our case studies when considering real-world scenarios.
format Preprint
id arxiv_https___arxiv_org_abs_2403_08740
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Acoustic Side Channel Attack on Keyboards Based on Typing Patterns
Taheritajar, Alireza
Rahaeimehr, Reza
Cryptography and Security
Acoustic side-channel attacks on keyboards can bypass security measures in many systems that use keyboards as one of the input devices. These attacks aim to reveal users' sensitive information by targeting the sounds made by their keyboards as they type. Most existing approaches in this field ignore the negative impacts of typing patterns and environmental noise in their results. This paper seeks to address these shortcomings by proposing an applicable method that takes into account the user's typing pattern in a realistic environment. Our method achieved an average success rate of 43% across all our case studies when considering real-world scenarios.
title Acoustic Side Channel Attack on Keyboards Based on Typing Patterns
topic Cryptography and Security
url https://arxiv.org/abs/2403.08740