Abstract. Intrusion detection is a surveillance problem of practical import that is well suited to wireless sensor networks. In this paper, we study the application of sensor networks to the intrusion detection problem and the related problems of classifying and tracking targets. Our approach is based on a dense, distributed, wireless network of multi-modal resource-poor sensors combined into loosely coherent sensor arrays that perform in situ detection, estimation, compression, and exfiltration. We ground our study in the context of a security scenario called "A Line in the Sand" and accordingly define the target, system, environment, and fault models. Based on the performance requirements of the scenario and the sensing, communication, energy, and computation ability of the sensor network, we explore the design space of sensors, signal processing algorithms, communications, networking, and middleware services. We introduce the influence field, which can be estimated from a network of binary sensors, as the basis for a novel classifier. A contribution of our work is that we do not assume a reliable network; on the contrary, we quantitatively analyze the effects of network unreliability on application performance. Our work includes multiple experimental deployments of over 90 sensors nodes at MacDill Air Force Base in Tampa, Florida, as well as other field experiments of comparable scale. Based on these experiences, we identify a set of key lessons and articulate a few of the challenges facing extreme scaling to tens or hundreds of thousands of sensor nodes.

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SummaryWe have discovered and analysed two novel, linear extrachromosomal double-stranded RNAs (dsRNAs) within oocysts of major north Amercian isolates of Cryptosporidium parvum, a parasitic protozoan that infects the gastrointestinal tract of a variety of mammals, including humans. These dsRNAs were found to reside within the cytoplasm of sporozoites, and were not detected in other species of the genus. cDNAs representing both dsRNA genomes were cloned and sequenced, 1786 and 1374 nt, and each encoded one large open reading frame (ORF). The deduced protein sequence of the larger dsRNA (L-dsRNA) had homology with viral RNA-dependent RNA polymerases (RDRP), with more similarity to polymerases from fungi than those from other protozoa. The deduced protein sequence from the smaller dsRNA (S-dsRNA) had limited similarity with mitogen-activated c-June NH 2 terminal protein kinases (JNK) from mammalian cells. Attempts to visually identify or purify virus-like particles associated with the dsRNAs were unsuccessful. Sensitivity of the dsRNAs to RNase A also suggests that the dsRNAs may be unencapsidated. A RDRP activity was identified in crude extracts from C. parvum sporozoites and products of RNA polymerase activity derived in vitro were similar to the dsRNAs purified directly from the parasites.

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