Natallia Katenka

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A reasonable definition of intrusion is: entering a community to which one does not belong. This suggests that in a network, intrusion attempts may be detected by looking for communication that does not respect community boundaries. In this paper, we examine the utility of this concept for identifying malicious network sources. In particular, our goal is to(More)
This paper examines the problem of target detection by a wireless sensor network. Sensors acquire measurements emitted from the target that are corrupted by noise, and initially make individual decisions about the presence/absence of the target. We propose the local vote decision fusion algorithm, in which sensors first correct their decisions using(More)
Previous research has shown that gold nanoparticles can increase the effectiveness of radiation on cancer cells. Improved radiation effectiveness would allow lower radiation doses given to patients, reducing adverse effects; alternatively, it would provide more cancer killing at current radiation doses. Damage from radiation and gold nanoparticles depends(More)
Our work is motivated by and illustrated with application of association networks in computational biology, specifically in the context of gene/protein regulatory networks. Association networks represent systems of interacting elements, where a link between two different elements indicates a sufficient level of similarity between element attributes. While(More)
Wireless sensor networks (WSN) are becoming an important tool in a variety of tasks, including monitoring and tracking of spatially occurring phenomena. These networks offer the capability of densely covering a large area, but at the same time are constrained by the limiting sensing, processing and power capabilities of their sensors. In order to complete(More)
This study presents a general flexible approach for the design of wireless sensor network under the random deployment mechanism. The cost of sensing and communications is incorporated into the design of the network, while in addition allowing for unreliable sensors. In the proposed approach, cost is treated generically and can correspond to either a fixed(More)
This work introduces a novel framework for tracking multiple targets over time using binary decisions collected by a Wireless Sensor Network (WSN), and applies the methodology to two case studies: an experiment involving tracking people and a project tracking zebras. Unlike most existing methods, proposed tracking approach is based on a penalized maximum(More)
Wireless Sensor Networks (WSN) are a new technology with many applications, including environmental monitoring, habitat monitoring, surveillance, and health care. In many applications, each sensor records a signal (temperature, vibration, etc) emitted from a target, makes a decision about the target’s presence, and then transmits either the signal or the(More)
Acidification of extracellular space promotes tumor development, progression, and invasiveness. pH (low) insertion peptides (pHLIP® peptides) belong to the class of pH-sensitive membrane peptides, which target acidic tumors and deliver imaging and/or therapeutic agents to cancer cells within tumors. Ex vivo fluorescent imaging of tissue and organs collected(More)