Cybersecurity knowledge graphs, which represent cyber-knowledge with a graph-based
data model, provide holistic approaches for processing massive volumes of complex …

Multi-year digital forensic backlogs have become commonplace in law enforcement
agencies throughout the globe. Digital forensic investigators are overloaded with the volume …

Expressing machine-interpretable statements in the form of subject-predicate-object triples
is a well-established practice for capturing semantics of structured data. However, the …

Cyber attacks consisting of several attack actions can present considerable challenge to
forensic investigations. Consider the case where a cybersecurity breach is suspected …

Social Media (SM) evidence is a new and rapidly emerging frontier in digital forensics. The
trail of digital information on social media, if explored correctly, can offer remarkable support …

In parallel with the exponentially growing number of computing devices and IoT networks,
the data storage and processing requirements of digital forensics are also increasing …

Any investigation can have a digital dimension, often involving information from multiple
data sources, organizations and jurisdictions. Existing approaches to representing and …

Due to the democratisation of new technologies, computer forensics investigators have to
deal with volumes of data which are becoming increasingly large and heterogeneous …

The growth of digital technologies results in the growth of digital crimes. Digital forensics
aims to collect crime-related evidence from various digital media and analyze it. This survey …

In the last few years, most of the data such as books, videos, pictures, medical and even the
genetic information of humans are moving toward digital formats. Laptops, tablets …