In this short editorial we present some thoughts on present and future trends in Artificial
Intelligence (AI) generally, and Machine Learning (ML) specifically. Due to the huge ongoing …

For reliable digital evidence to be admitted in a court of law, it is important to apply
scientifically proven digital forensic investigation techniques to corroborate a suspected …

Encrypted databases, a popular approach to protecting data from compromised database
management systems (DBMS's), use abstract threat models that capture neither realistic …

For over many decades, relational database model has been considered as the leading
model for data storage and management. However, as the Big Data explosion has …

Database Forensic Investigation (DBFI) involves the identification, collection, preservation,
reconstruction, analysis, and reporting of database incidents. However, it is a …

Database forensics is a domain that uses database content and metadata to reveal
malicious activities on database systems in an Internet of Things environment. Although the …

Database Forensics (DBF) is a widespread area of knowledge. It has many complex
features and is well known amongst database investigators and practitioners. Several …

The Database Forensics Investigation (DBFI) field is focused on capturing and investigating
database incidents. DBFI is a subdomain of the digital forensics domain, which deals with …

Data and metadata in datasets experience many different kinds of change. Values are
inserted, deleted or updated; rows appear and disappear; columns are added or …

Behavior-based anomaly detection (AD) approaches for enterprise-IT security are not easily
applicable to other domains, such as embedded devices and IoT nodes in cyber-physical …