[AISWorld] IEEE EDOC 2021 International Workshop on Data Leakage Protection (DLP) and Trustworthiness in Health Data (Call for papers)

[Salma Abdalla]

Dear Colleagues:

Please consider submitting your latest research in Data leakage
protection and Trust in healthcare into the *IEEE EDOC International
Workshop on Data Leakage Protection (DLP) and Trustworthiness in Health
Data*

Below is the brief description of the DLP-THD 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.

Topics covered by the workshop include, but are not limited to:

*Data Leakage Protection (DLP) Track:*

o Cloud/Edge data sharing security and privacy.

o Data identification, marking, or classification techniques.

o Dynamic data protection techniques.

o Big data leakage resilient methodologies.

o Secure Bring Your Own Device (BYOD) environments.

o Data leakage detection from Cloud, edge, fog, IoT, or Mobile applications.

o Countermeasures against data leakage in Cloud, edge, fog, IoT, and
Mobile applications.

o Data leakage in medical records and images.

o Data leakage detection mechanisms for text, images, or videos.

o Data loss prevention and its mechanisms for cloud, edge, mobile, and
embedded systems.

o Leakages of information from encrypted data.

o Methods of remediation after data leakage incidents.

o Methods to detect and trace the agent/device that leaked the data.

o Forensic investigation methods for data leakage attacks.

o Data leakage controls for unstructured or transformed data.

o Balancing data protection and privacy preservation techniques.

*Trustworthiness in Health Data Track:*

o The growing list of parties that have an interest in accessing
health-related data

o The fuzzy boundary between personal health data and other personal data

o Limits of deidentification of health data and guidelines for
aggregating regional health data into sharable formats that are of value
to medical researchers

o Working definitions of the data subject, data author, data custodian,
data attester, data owner, authorized 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

o 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.

o Analysis of national/regional/organizational health data governance
policies from perspectives that relate to trust

*
*

*Submission deadline: 18/6/2021.*

For more information about the workshop and the CFP please visit the
below webpages:

https://sites.google.com/view/dlp-and-thd/home/

https://easychair.org/cfp/DLP-THD1


Looking forward to reviewing your research.

Best Regards,

Workshop Chairs,

Pro.f Michael Sheng , Macquarie University

Salma A. Hamad, Macquarie University