706 research outputs found

    Reflections on the Engineering and Operation of a Large-Scale Embedded Device Vulnerability Scanner

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    We present important lessons learned from the engineering and operation of a large-scale embedded device vulnerability scanner infrastructure. Developed and refined over the period of one year, our vulnerability scanner monitored large portions of the Internet and was able to identify over 1.1 million publicly accessible trivially vulnerable embedded devices. The data collected has helped us move beyond vague, anecdotal suspicions of embedded insecurity towards a realistic quantitative understanding of the current threat. In this paper, we describe our experimental methodology and reflect on key technical, organizational and social challenges encountered during our research. We also discuss several key technical design missteps and operational failures and their solutions

    Computational purification of individual tumor gene expression profiles leads to significant improvements in prognostic prediction.

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    Tumor heterogeneity is a limiting factor in cancer treatment and in the discovery of biomarkers to personalize it. We describe a computational purification tool, ISOpure, to directly address the effects of variable normal tissue contamination in clinical tumor specimens. ISOpure uses a set of tumor expression profiles and a panel of healthy tissue expression profiles to generate a purified cancer profile for each tumor sample and an estimate of the proportion of RNA originating from cancerous cells. Applying ISOpure before identifying gene signatures leads to significant improvements in the prediction of prognosis and other clinical variables in lung and prostate cancer
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