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Titlebook: HCI for Cybersecurity, Privacy and Trust; First International Abbas Moallem Conference proceedings 2019 Springer Nature Switzerland AG 201

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发表于 2025-3-21 19:34:14 | 显示全部楼层 |阅读模式
书目名称HCI for Cybersecurity, Privacy and Trust
副标题First International
编辑Abbas Moallem
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: HCI for Cybersecurity, Privacy and Trust; First International  Abbas Moallem Conference proceedings 2019 Springer Nature Switzerland AG 201
描述.This book constitutes the thoroughly refereed proceedings of the First International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2019, which was held as part of the 21st HCI International Conference, HCII 2019, in Orlando, FL, USA, in July 2019..The total of 1275 papers and 209 posters included in the 35 HCII 2019 proceedings volumes were carefully reviewed and selected from 5029 submissions.. .HCI-CPT 2019 includes a total of 32 papers; they were organized in topical sections named: Authentication; cybersecurity awareness and behavior; security and usability; and privacy and trust..
出版日期Conference proceedings 2019
关键词authentication; authentication scheme; computer crime; computer vision; cryptography; data security; hci; h
版次1
doihttps://doi.org/10.1007/978-3-030-22351-9
isbn_softcover978-3-030-22350-2
isbn_ebook978-3-030-22351-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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发表于 2025-3-21 20:46:40 | 显示全部楼层
Consonant-Vowel-Consonants for Error-Free Code Entrycure, preferred by users, and more impervious to user error when compared to codes typically used for security purposes. An extension integrates error detection and correction, essentially eliminating typos.
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Identity Verification Using Face Recognition for Artificial-Intelligence Electronic Forms with Speecduction efficiency and visualizes the collected operation records by enhancing the readability and writability of records and handover operations that are not sufficiently supported by traditional electronic forms. To prevent falsification of inspections, it is necessary to use a widely deployed dev
发表于 2025-3-22 09:50:25 | 显示全部楼层
Explore-a-Nation: Combining Graphical and Alphanumeric Authentication standards and to Use Your Illusion (UYI) across the dimensions of efficiency, accuracy, OSA resistance, and subjective usability. User login times for both EaN and UYI met the efficiency usability standards established by alphanumeric passwords. Results for UYI (99%) login accuracy were significant
发表于 2025-3-22 15:19:51 | 显示全部楼层
Gamifying Security Awareness: A New Prototypeect and accompanying research paper will explore the gamification of the security training and awareness program. By developing role-based game modules to teach secure behavior to all organizational users, incentivizing secure behavior with real rewards that matter to participants and applying the t
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Social Preferences in Decision Making Under Cybersecurity Risks and Uncertainties value and moderated by social preferences. These hypotheses are tested using a variance-based structural equation modeling analysis based on feedback from a sample of Norwegian organizations. Our empirical results confirm the strong positive impact of social preferences and cybersecurity attack exp
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Understanding Parents’ Concerns with Smart Device Usage in the Homered that parents feel it is their responsibility to keep their children from harm when they use smart devices, and that parents do not trust applications, devices, smart device manufacturers or Internet providers to do so. Our findings can help researchers better understand the different device usag
发表于 2025-3-23 04:38:57 | 显示全部楼层
Gamification Techniques for Raising Cyber Security Awarenesse of the password application, and felt they benefitted from the inclusion of gamification techniques. Future work seeks to expand the prototype into a full solution, covering a range of security awareness issues.
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An Identification Method of Untrusted Interactive Behavior in ERP System Based on Markov Chaine behavior of trusted users based on these behavior characteristics. Next, the forward algorithm is used to calculate the probability of a series of observation sequences of trusted users and untrusted users based on the hidden Markov model of trusted users. Finally, the untrusted users are identifi
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