Text mining has found a variety of applications in diverse domains. Of late, prolific work is
reported in using text mining techniques to solve problems in financial domain. The …

The paper reports a host based intrusion detection model for Cloud computing environment
along with its implementation and analysis. This model alerts the Cloud user against the …

Context: Run-time detection of system anomalies at the host level remains a challenging
task. Existing techniques suffer from high rates of false alarms, hindering large-scale …

The term internet of things is a buzz word these days and as per Google survey conducted
recently, it has even dominated the buzz word big data predominantly. However, IoT area is …

This paper surveys the Internet worms-related literature and how stealthy worm behaviour
can be discovered. Discussion is provided on the anatomy of worms, specifically covering …

Abstract Information security paradigm is under a constant threat in enterprises particularly.
The extension of World Wide Web and rapid expansion in size and types of documents …

This paper focuses on intrusion detection based on system call sequences using text
processing techniques. It introduces kernel based similarity measure for the detection of host …

Adversarial lateral movement via compromised accounts remains difficult to discover via
traditional rule-based defenses because it generally lacks explicit indicators of compromise …

A forensic analysis method performed in respect of an endpoint device connected to a
computer network. The forensic analysis method comprises collecting file system call data …

New digital forensic techniques and systems are disclosed. System call information is
collected from a device under test (DUT) and converted to a sequence format. Thereafter …