Abstract Machine learning has seen a significant surge and uptake across many diverse
applications. The high flexibility, adaptability, and computing capabilities it provides extend …

Critical infrastructure Supervisory Control and Data Acquisition (SCADA) systems have been
designed to operate on closed, proprietary networks where a malicious insider posed the …

(57) ABSTRACT A method for analyzing traffic in a communications network includes
sampling data packets at a plurality of network inter connection points, wherein sampling the …

Test suite minimization techniques attempt to reduce the cost of saving and reusing tests
during software maintenance, by eliminating redundant tests from test suites. A potential …

Intrusion detection system is widely used to protect and reduce damage to information
system. It protects virtual and physical computer networks against threats and vulnerabilities …

This paper presents a novel traffic classification scheme to improve classification
performance when few training data are available. In the proposed scheme, traffic flows are …

Identifying and categorizing network traffic by application type is challenging because of the
continued evolution of applications, especially of those with a desire to be undetectable. The …

Digital forensics is the process of employing scientific principles and processes to analyze
electronically stored information and determine the sequence of events which led to a …

Timely and accurate traffic classification and application characterization are becoming
increasingly important with many applications in wired and wireless networks, eg, traffic …

The ubiquity of 802.11 devices and networks enables anyone to track our every move with
alarming ease. Each 802.11 device transmits a globally unique and persistent MAC address …