@conference {
	title = {An Integrative Principled Approach to Network Science},
	author = {Baras, John S.},
	year = {2006},
	month = {05/2006},
	booktitle = {ARL Network Science STI Workshop}
}
@conference {
	title = {Consensus Problems on Small World Graphs: A Structural Study},
	author = {Hovareshti, Pedram., Baras, John S.},
	year = {2006},
	month = {05/2006},
	abstract = {Consensus problems arise in many instances of collaborative control of multi-agent complex systems; where it is important for the agents to act in coordination with the other agents. To reach coordination, agents need to share information. In large groups of agents the information sharing should be local in some sense, due to energy limitation, reliability, and other constraints. A consensus protocol is an iterative method that provides the group with a common coordination variable. However, local information exchange limits the speed of convergence of such protocols. Therefore, in order to achieve high convergence speed, we should be able to design appropriate network topologies. A reasonable conjecture is that the small world graphs should result in good convergence speed for consensus problems because their low average pairwise path length should speed the diffusion of information in the system. In this paper we address this conjecture by simulations and also by studying the spectral properties of a class of matrices corresponding to consensus problems on small world graphs.},
	address = {Boston, Massachusetts},
	booktitle = {2006 International Conference on Complex Systems},
	pages = {pp. 1-8}
}
@conference {
	title = {A Framework for the Evaluation of Intrusion Detection Systems},
	author = {Cardenas, Alvaro A., Baras, John S., Seamon, Karl.},
	year = {2006},
	month = {05/2006},
	abstract = {Classification accuracy in intrusion detection systems (IDSs) deals with such fundamental problems as how to compare two or more IDSs, how to evaluate the performance of an IDS, and how to determine the best configuration of the IDS. In an effort to analyze and solve these related problems, evaluation metrics such as the Bayesian detection rate, the expected cost, the sensitivity and the intrusion detection capability have been introduced. In this paper, we study the advantages and disadvantages of each of these performance metrics and analyze them in a unified framework. Additionally, we introduce the intrusion detection operating characteristic (IDOC) curves as a new IDS performance tradeoff which combines in an intuitive way the variables that are more relevant to the intrusion detection evaluation problem. We also introduce a formal framework for reasoning about the performance of an IDS and the proposed metrics against adaptive adversaries. We provide simulations and experimental results to illustrate the benefits of the proposed framework.},
	address = {Oakland, California},
	booktitle = {2006 IEEE Symposium on Security and Privacy}
}
@conference {
	title = {Networked Embedded Systems: Component Based System Synthesis},
	author = {Baras, John S.},
	year = {2006},
	month = {05/2006},
	booktitle = {Office of the Secretary of Defense (OSD) Software-Intensive Systems Producibility Workshop}
}
