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

File fragment type identification is an important step in file carving and data recovery.
Machine learning techniques, especially neural networks, have been utilized for this …

In digital forensics, classification of file fragments is an important step to complete the file
carving process. There exist several approaches to identify the type of file fragments without …

This paper presents an approach to improve the file fragment classification by proposing
new features for classification and evaluating them on a dataset that includes both low-and …

Digital forensics is a crucial process of identifying, conserving, retrieving, evaluating, and
documenting digital evidence obtained on computers and other electronic devices. Data …

In digital forensics, file fragment classification is an important step toward completing file
carving process. There exist several techniques to identify the type of file fragments without …

Many devices, users, and applications stream an irregular amount of varied data every
second. This rapid generation of data continues at an enormous rate, constructing the big …

In digital forensics, file carving is used to extract files without relying on the underlying file
system metadata. This process can be challenging if the file is fragmented. Therefore, it is …

A large portion of the Internet bandwidth is used for transmission of multimedia such as
audio data. As the file sizes are usually much bigger than the maximum network packet size …

File fragment's type classification in the absence of header and file system information, is a
major building block in various solutions devoted to file carving, memory analysis and …