There is much research and advice around de-identification techniques and data governance. This brings together the practical aspects to propose a simplified business model and framework for informed decision making for the minimisation of data leakage from non-production systems using the topology of data classification, data protection and the requirements of non-production environments. The simplified model details the influences of legal and regulatory and business requirements on business systems and non-production environments. The framework identifies six stages, and the interactions required to progress from the legal and regulatory standards applicable to political and geographical areas, through organisational requirements a...
Information assets of enterprises are vulnerable to theft and require protection to avoid informatio...
Most Information that is of utmost value to the organization is electronic and with very few control...
Organizations are increasingly introducing data science initiatives to support decision-making. Howe...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
We’ve developed a practical guide to de-identification for government agencies and businesses includ...
It is not uncommon these days to come across security incidents involving sensitive data. Most resea...
M.Tech.Information is a company’s greatest asset that is continually under threat from human error, ...
Due to the high level of risk associated with the use of information technology in critical infrastr...
To assure certain critical quality properties (e.g., safety, security, or privacy), supervisory auth...
Technology developers are encouraged to take into account data protection principles in the early de...
The Anonymisation Decision-making Framework (ADF) operationalizes the risk management of data exchan...
ABSTRACT Objectives Business Intelligence System for Government and the Community's goal is to as...
In a world where the consumerisation of IT has driven individuals to acquire and use the latest tech...
The concept of data privacy (often confused with security), a relatively less focused concept in the...
Information Security nowadays is becoming a very popular subject of discussion among both academics ...
Information assets of enterprises are vulnerable to theft and require protection to avoid informatio...
Most Information that is of utmost value to the organization is electronic and with very few control...
Organizations are increasingly introducing data science initiatives to support decision-making. Howe...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
We’ve developed a practical guide to de-identification for government agencies and businesses includ...
It is not uncommon these days to come across security incidents involving sensitive data. Most resea...
M.Tech.Information is a company’s greatest asset that is continually under threat from human error, ...
Due to the high level of risk associated with the use of information technology in critical infrastr...
To assure certain critical quality properties (e.g., safety, security, or privacy), supervisory auth...
Technology developers are encouraged to take into account data protection principles in the early de...
The Anonymisation Decision-making Framework (ADF) operationalizes the risk management of data exchan...
ABSTRACT Objectives Business Intelligence System for Government and the Community's goal is to as...
In a world where the consumerisation of IT has driven individuals to acquire and use the latest tech...
The concept of data privacy (often confused with security), a relatively less focused concept in the...
Information Security nowadays is becoming a very popular subject of discussion among both academics ...
Information assets of enterprises are vulnerable to theft and require protection to avoid informatio...
Most Information that is of utmost value to the organization is electronic and with very few control...
Organizations are increasingly introducing data science initiatives to support decision-making. Howe...