@conference {18206,
	title = {A Resource-optimized Approach to Efficient Early Detection of Mobile Malware},
	booktitle = {3rd International Workshop on Security of Mobile Applications - IWSMA 2014},
	year = {2014},
	month = {09/2014},
	address = {Fribourg, Switzerland},
	author = {Milosevic, Jelena and Dittrich, Andreas and Ferrante, Alberto and Malek, Miroslaw}
}
@conference {18232,
	title = {Responsiveness of Service Discovery in Wireless Mesh Networks},
	booktitle = {20th Pacific Rim International Symposium on Dependable Computing (PRDC)},
	year = {2014},
	month = {11/2014},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Singapore},
	abstract = {Service Discovery (SD) is an integral part of service networks. Before a service can be used, it needs to be discovered successfully. Comprehensive service dependability analysis thus needs to include the SD process. As a time-critical operation, an important property of SD is responsiveness: The probability of successful discovery within a deadline, even in the presence of faults. This is especially true for dynamic networks with complex fault behavior such as wireless networks. This work evaluates the responsiveness of decentralized SD in wireless mesh networks. For this reason, the experiment framework ExCovery has been employed, which provides a unified description, execution, measurement and storage of experiments. ExCovery runs on the Distributed Embedded System (DES) wireless testbed at Freie Universit{\"a}t Berlin. We present and discuss the results of the experiments and show how responsiveness is affected by the position and number of requester and providers as well as the load in the network. The results clearly demonstrate that in all but the most favorable conditions, the configurations of current SD protocols struggle to achieve a high responsiveness.},
	keywords = {Experiments, Responsiveness, Service Discovery, Wireless mesh networks, Zeroconf},
	doi = {10.1109/PRDC.2014.38},
	url = {http://andreas-dittrich.eu/2014/06/prdc2014},
	author = {Dittrich, Andreas and Herrera, Daniel Solis and Coto, Pablo and Malek, Miroslaw}
}
@conference {18227,
	title = {Risk Assessment of Atrial Fibrillation: a Failure Prediction Approach},
	booktitle = {41st Computing in Cardiology Conference (CinC)},
	year = {2014},
	month = {09/2014},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Cambridge, MA, USA},
	abstract = {We present a methodology for identifying patients who have experienced Paroxysmal Atrial Fibrillation (PAF) among a given subjects population. Our work is intended as an initial step towards the design of an unobtrusive system for concurrent detection and monitoring of chronic cardiac conditions.

Our methodology comprises two stages: off-line training and on-line analysis. During training the most significant features are selected using machine-learning methods, without relying on a manual selection based on previous knowledge. Analysis is based on two phases: feature extraction and detection of PAF patients. Light-weight algorithms are employed in the feature extraction phase, allowing the on-line implementation of this step on wearable and resource-constrained sensor nodes. The detection phase employs techniques borrowed from the field of failure prediction. While these algorithms have found extensive applications in diverse scenarios, their application to automated cardiac analysis has not been sufficiently investigated.

Obtained results, in terms of performance, are comparable to similar efforts in the field. Nonetheless, the proposed method employs computationally simpler and more efficient algorithms, which are compatible with the computational constraints of state-of-the-art body sensor nodes.},
	url = {http://andreas-dittrich.eu/2014/06/risk-assessment-of-atrial-fibrillation-a-failure-prediction-approach},
	author = {Milosevic, Jelena and Dittrich, Andreas and Ferrante, Alberto and Malek, Miroslaw and Rojas Quiros, Camilo and Braojos, Rub{\'e}n and Ansaloni, Giovanni and Atienza, David}
}
