击键动力学:概念、技术和应用

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Rashik Shadman, Ahmed Anu Wahab, Michael Manno, Matthew Lukaszewski, Daqing Hou, Faraz Hussain
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引用次数: 0

摘要

可靠地识别和验证对象仍然是计算机系统安全的组成部分。近年来,各种新的身份验证技术如生物识别身份验证系统得到了发展。本文详细介绍了基于击键的认证系统及其应用。击键动力学是一种行为生物识别技术,由于其非侵入性和成本效益,正成为网络安全的重要工具。此外,不需要额外的硬件,因此部署起来很方便。本调查涵盖了新的击键数据集,最先进的击键认证算法,触摸屏和移动设备上的击键认证,以及这些技术在身份验证之外的各种突出应用。本文涵盖了击键动力学的所有重要方面,可作为该领域未来研究人员的参考。本文包括对最新击键数据集的讨论,为研究人员提供最新的分析和实验资源。此外,本调查涵盖了该领域采用的最先进的算法,提供了对用于击键分析的尖端技术的见解。此外,本文还解释了击键动力学的各种应用,特别侧重于安全性、验证和识别用途。除了这些关键领域之外,我们还提到了可以应用击键动力学的其他应用,扩大了对其在各个领域的潜在影响的理解范围。不像以前的调查论文,通常集中在击键动力学的具体方面,我们的综合分析提出了这个领域内的所有相关领域。通过介绍对最新进展的讨论,我们为读者提供了对击键动力学研究的当前景观和新兴趋势的透彻理解。此外,本文还概述了未来的研究机会,强调了在击键动力学领域中探索和发展的潜在领域。这种前瞻性的观点旨在激发进一步的探索和创新,指导未来在这个充满活力的领域的研究轨迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Keystroke Dynamics: Concepts, Techniques, and Applications
Reliably identifying and verifying subjects remains integral to computer system security. Various novel authentication techniques, such as biometric authentication systems, have been developed in recent years. This paper provides a detailed review of keystroke-based authentication systems and their applications. Keystroke dynamics is a behavioral biometric that is emerging as an important tool for cybersecurity as it promises to be nonintrusive and cost-effective. In addition, no additional hardware is required, making it convenient to deploy. This survey covers novel keystroke datasets, state-of-the-art keystroke authentication algorithms, keystroke authentication on touch screen and mobile devices, and various prominent applications of such techniques beyond authentication. The paper covers all the significant aspects of keystroke dynamics and can be considered a reference for future researchers in this domain. The paper includes a discussion of the latest keystroke datasets, providing researchers with an up-to-date resource for analysis and experimentation. In addition, this survey covers the state-of-the-art algorithms adopted within this domain, offering insights into the cutting-edge techniques utilized for keystroke analysis. Moreover, this paper explains the diverse applications of keystroke dynamics, particularly focusing on security, verification, and identification uses. Beyond these crucial areas, we mention additional applications where keystroke dynamics can be applied, broadening the scope of understanding regarding its potential impact across various domains. Unlike previous survey papers, which typically concentrate on specific aspects of keystroke dynamics, our comprehensive analysis presents all relevant areas within this field. By introducing discussions on the latest advances, we provide readers with a thorough understanding of the current landscape and emerging trends in keystroke dynamics research. Furthermore, this paper presents a summary of future research opportunities, highlighting potential areas for exploration and development within the realm of keystroke dynamics. This forward-looking perspective aims to inspire further inquiry and innovation, guiding the trajectory of future studies in this dynamic field.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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