Data preprocessing is widely recognized as an important stage in anomaly detection. This
paper reviews the data preprocessing techniques used by anomaly-based network intrusion …

As the size and source of network traffic increase, so does the challenge of monitoring and
analyzing network traffic. Therefore, sampling algorithms are often used to alleviate these …

Analysing network flows, logs, and system events has been used for intrusion detection.
Network flows, logs, and system events, etc. generate big data. Big Data analytics can …

Methods, systems, and computer readable media for rapid filtering of opaque data traffic are
disclosed. According to one method, the method includes receiving a packet containing a …

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 …

This application is a continuation of US patent applica tion Ser. No. 12/260,627, filed Oct. 29,
2008, the entire dis closure of which is hereby incorporated by reference. Embodiments of …

File type identification and file type clustering may be difficult tasks that have an increasingly
importance in the field of computer and network security. Classical methods of file type …

The issue of cybersecurity is becoming more and more serious every day at all levels and in
all domains. Cyber-attacks threaten the national security of every country and nation …

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 …