25 October 2021
International Workshop on Data Leakage Protection and Trustworthiness in Health Data
( To be held in conjunction with The 25th IEEE International EDOC Conference - EDOC 2021)
at Gold Coast, Australia
The accepted workshop papers will be published in EDOC 2021 conference workshop proceedings.
Submissions should be made electronically via EasyChair in PDF format and must comply with the IEEE Computer Society Conference Proceedings Format Guidelines.
About the Workshop
Data leakage is the accidental or intended unauthorized transmission of data from an organization to unintended recipients. Data leakage threats can originate internally or externally via email, web, mobile data storage devices such as USB drives and laptops. Data leakage protection (DLP) is an approach to detect data leakage and/or ensure end-users do not send confidential or sensitive information outside of the enterprise network. These strategies may involve a combination of user and security policies and security monitoring, detection, and prevention tools. This DLP track of this workshop focuses on DLP response mechanisms to detect data leakage, protect and prevent data in all its shapes, such as text, images within an organization, on the cloud, or edge, from the risk of getting leaked accidentally or intentionally.
Moreover, requirements for future healthcare data management are likely to include increased volume and diversity, shared between an increasingly diverse range of people (e.g. practitioners, specialists, patients) and organisations (e.g. healthcare providers, technology providers, and social services). Regardless of the architecture used, a key enabler of interoperability is the clarification of “trust”. The Trustworthiness in health data track of this workshop will explore key aspects of trust, relevant trust-based concepts, and suitable semantic repository technologies capable of supporting a federated, community-oriented approach.
Workshop Objectives
The workshop aims to bring together practitioners, researchers, academics, and students to explore key aspects of data classification, protection, monitoring, ongoing adaptive control approaches to value, manage and sustain data, trust, relevant trust-based concepts, and suitable semantic repository technologies capable of supporting a federated, community-oriented approach to health data governance and custodianship. This workshop provides support for professionals and researchers to design solutions, update the policies, and improve existing techniques to achieve desired outcomes. Participant experience will be used throughout the workshop to illustrate principles and connect practices to participants' work in data management, security, privacy and trust.
The topics of interests include, but are not limited to:
Track 1
Data Leakage Protection (DLP)
Cloud/Edge data sharing security and privacy.
Data identification, marking, or classification techniques.
Dynamic data protection techniques.
Big data leakage resilient methodologies.
Secure Bring Your Own Device (BYOD) environments.
Data leakage detection from Cloud, edge, fog, IoT, or Mobile applications.
Countermeasures against data leakage in Cloud, edge, fog, IoT, and Mobile applications.
Data leakage in medical records and images.
Data leakage detection mechanisms for text, images, or videos.
Data loss prevention and its mechanisms for cloud, edge, mobile, and embedded systems.
Leakages of information from encrypted data.
Methods of remediation after data leakage incidents.
Methods to detect and trace the agent/device that leaked the data.
Forensic investigation methods for data leakage attacks.
Data leakage controls for unstructured or transformed data.
Balancing data protection and privacy preservation techniques.
Track 2
Trustworthiness in Health Data
The growing list of parties that have an interest in accessing health-related data
The fuzzy boundary between personal health data and other personal data
Limits of deidentification of health data and guidelines for aggregating regional health data into sharable formats that are of value to medical researchers
Working definitions of the data subject, data author, data custodian, data attester, data owner, authorised user, the delegation of authority, data user rights, commercial data use, etc that are encountered in practice, and the question to what extent these terms even make sense or can be defined in an adequate way for enforceable legislation
All relevant aspects of trust, including the trustworthiness of people and institutions that work with health data, trust in the technical capability of the people and institutions that work with health data, the trustworthiness of the systems tasked with storing and transmitting health data, trust in the adequacy of locally/globally enforceable legislation for health data governance, etc.
Analysis of national/regional/organisational health data governance policies from perspectives that relate to trust.
Organizing Committee
Prof Michael Sheng, Department of Computing, Macquarie University
Dr. Jorn Bettin, S23M – Collaboration for Life
Salma Abdalla Hamad, Department of Computing, Macquarie University
Dr. Pete Rive, S23M – Collaboration for Life
Program Committee
Sira Yongchareon, Auckland University
Zawar Hussain, Macquarie University
Pasquale De Meo, Vrije Universiteit Amsterdam
Yan Yan, Lanzhou University of Technology
Xiu Susie Fang, Macquarie University
Faheem Ullah, The University of Adelaide
Xuyun Zhang, Macquarie University
Schahram Dustdar, Vienna University of Technology
Djamal Benslimane, Lyon 1 University
Athman Bouguettaya, The University of Sydney
Rajeswari Sridhar, Anna University
Wei Emma Zhang, The University of Adelaide
Seyedamin Pouriyeh, Kennesaw State University
Anne Ngu, Texas State University-San Marcos
Sherali Zeadally, University of Kentucky
Jian Yu, Auckland University of Technology
Shuang Wang, Southeast University
Yanjun Shu, Harbin Institute of Technology
Important Dates
• Workshop paper submission: 16 August 2021
• Workshop papers acceptance notification: 22 September 2021
• Workshop camera-ready papers due: 27 September 2021
• Author registration: 27 September 2021
• Workshops sessions: 25 October 2020
Submission Guidelines
Papers should be submitted in PDF format.
All submissions must comply with the IEEE Computer Society Conference Proceedings Format Guidelines.
Full papers should not exceed 10 pages. Short papers' maximum page limit is 6 pages.
Papers should be submitted under only one of the Workshop Tracks.
Final Camera ready versions must be submitted directly to the IEEE CPS service.
Contact Information
Salma Hamad salma.hamad@mq.edu.au (Track 1 Enquires)
Jorn Bettin jorn.bettin@s23m.com (Track 2 Enquires)