Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

File carving is a recovery technique allowing file recovery without knowledge about
contextual information such as file system metadata. Due to recent advancements in …

Anomaly-based intrusion detection systems identify the computer network behavior which
deviates from the statistical model of typical network behavior. Binary classifiers based on …

Over 20 studies have been published in the past decade involving file and data type
classification for digital forensics and information security applications. Methods using n …

File type identification (FTI) has become a major discipline for anti-virus developers, firewall
designers and for forensic cybercrime investigators. Over the past few years, research has …

The increased use of urban technologies in smart cities brings new challenges and issues.
Cyber security has become increasingly important as many critical components of …

File-type Identification (FTI) is an important problem in digital forensics, intrusion detection,
and other related fields. Using state-of-the-art classification techniques to solve FTI problems …

Anomaly-based intrusion detection systems are designed to scan computer network traffic
for abnormal behavior. Binary classifiers based on supervised machine learning have …

Digital information is packed into files when it is going to be stored on storage media. Each
computer file is associated with a type. Type detection of computer data is a building block in …

File fragment classification is an essential problem in digital forensics. Although several
attempts had been made to solve this challenging problem, a general solution has not been …