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abstract

Adaptive and Personalized Privacy and Security (APPS 2019): Workshop Chairs' Welcome and Organization

Published: 06 June 2019 Publication History

Abstract

It is our great pleasure to welcome you to the First International Workshop on Adaptive and Personalized Privacy and Security (APPS 2019). APPS 2019 (http://appsworkshop.cs.ucy.ac.cy) is a half-day workshop held on June 09, 2019, in conjunction with the ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) in Larnaca, Cyprus. Adaptive and personalized privacy and security aims at supporting privacy- and/or security-related tasks by leveraging on holistic user models which reflect the users' unique sociocultural, physical, physiological and technological context in which interaction takes place. As such, APPS 2019 aims to bring together researchers and practitioners working on diverse topics related to understanding and improving the usability of privacy and systems security, by applying user modeling, adaptation and personalization principles framed by User-Centered Design methods.

Cited By

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  • (2024)Specification of Self-Adaptive Privacy-Related Requirements within Cloud Computing Environments (CCE)Sensors10.3390/s2410322724:10(3227)Online publication date: 19-May-2024
  • (2021)Identifying Privacy Related Requirements for the Design of Self-Adaptive Privacy Protections Schemes in Social NetworksFuture Internet10.3390/fi1302002313:2(23)Online publication date: 21-Jan-2021
  • (2020)Self Adaptive Privacy in Cloud Computing Environments: Identifying the Major Socio-Technical ConceptsComputer Security10.1007/978-3-030-64330-0_8(117-132)Online publication date: 14-Sep-2020
  • Show More Cited By

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Information

Published In

cover image ACM Conferences
UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization
June 2019
455 pages
ISBN:9781450367110
DOI:10.1145/3314183
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 June 2019

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Author Tags

  1. adaptation
  2. human factors
  3. personalization
  4. usable privacy and security
  5. user modeling

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UMAP '19
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Acceptance Rates

UMAP'19 Adjunct Paper Acceptance Rate 30 of 122 submissions, 25%;
Overall Acceptance Rate 162 of 633 submissions, 26%

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UMAP '25

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Cited By

View all
  • (2024)Specification of Self-Adaptive Privacy-Related Requirements within Cloud Computing Environments (CCE)Sensors10.3390/s2410322724:10(3227)Online publication date: 19-May-2024
  • (2021)Identifying Privacy Related Requirements for the Design of Self-Adaptive Privacy Protections Schemes in Social NetworksFuture Internet10.3390/fi1302002313:2(23)Online publication date: 21-Jan-2021
  • (2020)Self Adaptive Privacy in Cloud Computing Environments: Identifying the Major Socio-Technical ConceptsComputer Security10.1007/978-3-030-64330-0_8(117-132)Online publication date: 14-Sep-2020
  • (2020)Measuring Users’ Socio-contextual Attributes for Self-adaptive Privacy Within Cloud-Computing EnvironmentsTrust, Privacy and Security in Digital Business10.1007/978-3-030-58986-8_10(140-155)Online publication date: 14-Sep-2020

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