Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
This paper proposes a pioneering Battery-Sensing Intrusion Protection System (B-SIPS) for mobile computers, which alerts on power changes detected on small wireless devices, using...
Timothy Buennemeyer, Faiz Munshi, Randy C. Marchan...
The premise of automated alert correlation is to accept that false alerts from a low level intrusion detection system are inevitable and use attack models to explain the output in ...
We present an architecture1 designed for alert verification (i.e., to reduce false positives) in network intrusion-detection systems. Our technique is based on a systematic (and a...
This paper introduces capabilities developed for a Battery-Sensing Intrusion Protection System (B-SIPS) for mobile computers, which alerts when abnormal current changes are detect...
Timothy Buennemeyer, Theresa M. Nelson, Lee M. Cla...