@conference {
	title = {On Optimal Watermarking Schemes in Uncertain Gaussian Channels},
	author = {Cardenas, Alvaro A., Moustakides, George V., Baras, John S.},
	year = {2007},
	month = {09/2007},
	abstract = {This paper describes the analytical derivation of a new watermarking algorithm satisfying optimality properties when the distortion of the watermarked signal is caused by a Gaussian process. We also extend previous work under the same assumptions and obtain more general solutions.},
	address = {San Antonio, Texas},
	booktitle = {IEEE International Conference on Signal Processing ICIP 2007},
	pages = {pp. 449-452}
}
@conference {
	title = {Performance Comparison of Detection Schemes for MAC Layer Misbehavior},
	author = {Cardenas, Alvaro A., Radosavac, Svetlana., Baras, John S.},
	year = {2007},
	month = {05/2007},
	abstract = {This paper revisits the problem of detecting greedy behavior in the IEEE 802.11 MAC protocol by evaluating the performance of two previously proposed schemes: DOMINO and the Sequential Probability Ratio Test (SPRT). The evaluation is carried out in four steps. We first derive a new analytical formulation of the SPRT that takes into account the discrete nature of the problem. Then we develop a new tractable analytical model for DOMINO. As a third step, we evaluate the theoretical performance of SPRT and DOMINO with newly introduced metrics that take into account the repeated nature of the tests. This theoretical comparison provides two major insights into the problem: it confirms the optimality of SPRT and motivates us to define yet another test, a nonparametric CUSUM statistic that shares the same intuition as DOMINO but gives better performance.We finalize the paper with experimental results, confirming our theoretical analysis and validating the introduction of the new nonparametric CUSUM statistic.},
	address = {Anchorage, Alaska},
	booktitle = {Proceedings of the 26th Annual IEEE Conference on Computer Communications (Infocom)},
	pages = {pp. 1496-1504}
}
@conference {
	title = {Towards Optimal Design of Data Hiding Algorithms Against Nonparametric Adversary Models},
	author = {Cardenas, Alvaro A., Moustakides, George V., Baras, John S.},
	year = {2007},
	month = {03/2007},
	abstract = {This paper presents a novel zero-sum watermarking game between a detection algorithm and a data hiding adversary. Contrary to previous research, the detection algorithm and the adversary we consider are both nonparametric in a continuous signal space, and thus they have no externally imposed limitations on their allowed strategies except for some distortion constraints. We show that in this framework no deterministic detection algorithm is optimal. We then find optimal randomized detection algorithms for different distortion levels and introduce a new performance tradeoff between completeness and accuracy when a detection algorithm does not have enough evidence to make an accurate decision.},
	address = {Baltimore, Maryland},
	booktitle = {41st Annual Conference on Information Sciences and Systems},
	pages = {pp. 911-916}
}
@conference {
	title = {Detecting IEEE 802.11 MAC Layer Misbehavior in Ad Hoc Networks},
	author = {Radosavac, Svetlana., Cardenas, Alvaro A., Baras, John S., Moustakides, George V.},
	year = {2007},
	month = {01/2007},
	abstract = {Selfish behavior at the Medium Access (MAC) Layer can have devastating side effects on the performance of wireless networks, with effects similar to those of Denial of Service (DoS) attacks. In this paper we consider the problem of detection and prevention of node misbehavior at the MAC layer, focusing on the back-off manipulation by selfish nodes. We first propose an algorithm that ensures honest behavior of non-colluding participants. Furthermore, we analyze the problem of colluding selfish nodes, casting the problem within a minimax robust detection framework and providing an optimal detection rule for the worst-case attack scenarios. Finally, we evaluate the performance of single and colluding attackers in terms of detection delay. Although our approach is general and can be used with any probabilistic distributed MAC protocol, we focus our analysis on the IEEE 802.11 MAC.},
	booktitle = {Robust Strategies Against Individual and Colluding Attacker\&quot; Journal of Computer Security: Special Issue on Security of Ad Hoc and Sensor Networks},
	pages = {pp. 103-128}
}
