@conference {
	title = {Multiple Sampling for Estimation on a Finite Horizon},
	author = {Rabi, Maben., Moustakides, George V., Baras, John S.},
	year = {2006},
	month = {12/2006},
	abstract = {We discuss some multiple sampling problems that arise in finite horizon real-time estimation when there is an upper limit on the number of allowable samples. Measuring estimation quality by the aggregate squared error, we compare the performances of the best deterministic, level-triggered and the optimal sampling schemes. We restrict the signal to be either a Wiener or an Ornstein-Uhlenbeck process. For the Wiener process, we provide closed form expressions and series expansions, whereas for the Ornstein Uhlenbeck process, procedures for numerical computation. Our results indicate that the best level-triggered sampling is almost optimal when the signal is stable.},
	address = {San Diego, CA},
	booktitle = {45th IEEE Conference on Decision and Control},
	pages = {pp. 1351-1357}
}
@conference {
	title = {Impact of Optimal MAC Layer Attacks on the Network Layer},
	author = {Radosavac, Svetlana., Baras, John S., Moustakides, George V.},
	year = {2006},
	month = {10/2006},
	abstract = {Node misbehavior in wireless ad hoc networks leads to sudden unpredictable changes in network topology, resulting in fluctuation of traffic load and capacity for already existing links. In this work we consider node misbehavior in the Medium Access Control (MAC) layer and its effects on the performance of the network layer. In order to capture uncertainty of the attacker{\textquoteright}s strategy as well as the unpredictable nature of the wireless medium, we quantify the optimal attack strategy by using the principle of minimum cross entropy. Following that, we apply the obtained results for analysis of the IEEE 802.11 DCF MAC protocol and investigate the effects of such optimal attacks on the network layer. Finally, we evaluate the robustness of two different routing protocols against the worst-case MAC layer attacks and justify the need for the MAC layer-based Intrusion Detection Systems (IDS).},
	address = {Alexendria, VA},
	booktitle = {Fourth ACM Workshop on Security of Ad Hoc and Sensor Networks (SASN 2006)},
	pages = {pp. 135-145}
}
@conference {
	title = {Efficient Sampling for Keeping Track of an Ornstein-Uhlenbeck Process},
	author = {Rabi, Maben., Moustakides, George V., Baras, John S.},
	year = {2006},
	month = {06/2006},
	abstract = {We consider estimation and tracking problems in sensor networks with constraints in the hierarchy of inference making, on the sharing of data and inter-sensor communications. We identify as a typical representative for such problems tracking of a process when the number and type of measurements are constrained. As the simplest representative of such problems, which still encompasses all the key issues involved, we analyze efficient sampling schemes for tracking an Ornstein- Uhlenbeck process. We consider sampling based on time, based on amplitude (event-triggered sampling) and optimal sampling (optimal stopping). We obtain the best sampling rule in each case as the solution to a constrained optimization problem. We compare the performances of the various sampling schemes and show that the event-triggered sampling performs close to optimal. Implications and extensions are discussed.},
	address = {Anconia, Italy},
	booktitle = {14th Mediterranean Conference on Control and Automation},
	pages = {pp. 1-6}
}
