@conference {271,
	title = {PhD Forum: A System Identification Approach to Monitoring Network Traffic Security},
	booktitle = {2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing},
	year = {2015},
	month = {Nov},
	abstract = {<p>Network security is a growing area of interest for cyber systems, especially given the increasing number of attacks on companies each year. Though there are a vast amount of tools already available, System Identification (SI) complements intrusion detection systems to help manage network traffic stability. SI is the science of building mathematical models of dynamic systems. This paper introduces the use of SI for modeling network traffic and utilizes a linear time invariant model to analyze performance of real connections and attack instances. We generated several ARX models where each represented a different threat state in the network. We utilized the KDD CUP 1999{\textquoteright}s DARPA dataset to analyze the performance when dealing with different attacks. Results show that the average model fit was 84.14\% when determining if the system was experiencing normal traffic. This value is promising because it shows how well the system is able to determine a network state in a given time when fed input.</p>
},
	keywords = {ARX, ARX model, autoregressive processes, Computational modeling, computer network security, Computer security, cyber system, dynamic system, Electronic mail, intrusion detection system, linear time invariant model, Mathematical model, Models, network traffic security, network traffic stability, Predictive models, Security, Silicon, System Identification, system identification approach, telecommunication traffic},
	doi = {10.1109/CSCloud.2015.85},
	author = {Mayo, Quentin and Bryce, Renee and Ram Dantu}
}
@conference {62,
	title = {Goliath: A Configurable Approach for Network Testing},
	booktitle = {Testbeds and Research Infrastructure for the Development of Networks and Communities, 2007. TridentCom 2007. 3rd International Conference on},
	year = {2007},
	month = {May},
	abstract = {<p>When testing a network environment and/or application many aspects need to be taken into consideration. For example, different software needs to be deployed at different nodes and different topologies may also need to be tested. The manual execution of these tasks are very time consuming and a configurable environment to facilitate these tasks and consequently improve testing performance is desired. In this paper a virtual network environment that can be easily reconfigured is presented to address this problem. Also presented is a case study with the results of deployment and containing a worm propagation attack.</p>
},
	keywords = {automated network testing, Computational modeling, computer networks, Computer science, Computer worms, Distributed computing, Goliath, Intrusion detection, network topologies, Network topology, Protocols, security of data, Software testing, System testing, telecommunication computing, telecommunication network topology, telecommunication security, virtual network environment, virtual private networks, worm propagation attack},
	doi = {10.1109/TRIDENTCOM.2007.4444667},
	author = {Fagen, Wade and Cangussu, Jo{\~a}o and Ram Dantu}
}
