Data classification tags data according to its type, sensitivity, and value to the organization if altered, stolen, or destroyed. It helps an organization understand the value of its data, determine whether the data is at risk, and implement controls to mitigate risks. Data classification also he...
In addition to relational tables and graphs, there are other kinds of data such as spatial and transactional data. In this chapter, we describe privacy models and anonymization techniques over theses data types.Wong, Raymond Chi-WingThe Hong Kong University of Science and TecnologyFu, Ada Wai-...
Based primarily on thetransformerdeep learning algorithm, large language models have been built on massive amounts of data to generate amazingly human-sounding language, as users ofChatGPTand interfaces of other LLMs know. They have become one of the most widely used forms of generative AI. Chat...
Security. Transformations can employ actions, such as data anonymization and encryption, to improve data security, data privacy and regulatory compliance issues for the business. Data transformation tools Manual data transformation is a time- and resource-intensive endeavor, and the costs involved can ...
Modern Data Center Data center’s importance to Business Significance of Data Center The significance of data centers in the modern world is multifaceted and crucial for a variety of reasons: Digital Transformation:Data centers are crucial for digital transformation, enabling organizations to collect, ...
Imbalanced Data:If you’re working with imbalanced datasets in your machine learning projects, generative models can help by providing synthetic examples of underrepresented classes. It will boost the performance and fairness of your models. Anonymization:Generative models can be your option for data a...
Use data security tools to protect your data from unauthorized access. You can do this with data masking tools (for PII), data anonymization tools (for credit cards etc), database access control tools etcetera. Create data governance policies to govern where data lives, who has access, who ...
An example with 'domain-ip' of MISP object template {"attributes": {"domain": {"categories": ["Network activity","External analysis"],"description":"Domain name","misp-attribute":"domain","multiple":true,"ui-priority":1},"first-seen": {"description":"First time the tuple has been se...
History of Database Management Systems The history of database management systems dates back to the early 1960s when computers began to be used for data processing. At that time, the concept was usually referred to as an information management system. ...
However, nonsensitive information—although not delicate—is linkable. This means that nonsensitive data, when used with other personal linkable information, can reveal the identity of an individual.De-anonymizationand re-identification techniques tend to be successful when multiple sets of quasi-identifi...