Browsing by Type "reports preprints"
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Item Mobile Device Security Corporate-Owned Personally-Enabled (COPE)(NIST, 2019-07) Franklin, Joshua M.; Howell, Gema; Boeckl, Kaitlin; Lefkovitz, Naomi; Nadeau, Ellen; Shariati, Dr. Behnam; Ajmo, Jason G.; Brown, Christopher J.; Dog, Spike E.; Javar, Frank; Peck, Michael; Sandlin, Kenneth F.Mobile devices provide access to workplace data and resources that are vital for organizations to accomplish their mission while providing employees the flexibility to perform their daily activities. Securing these devices is essential to the continuity of business operations. While mobile devices can increase organizations’ efficiency and employee productivity, they can also leave sensitive data vulnerable. Addressing such vulnerabilities requires mobile device management tools to help secure access to the network and resources. These tools are different from those required to secure the typical computer workstation. To address the challenge of securing mobile devices while managing risks, the NCCoE at NIST built a reference architecture to show how various mobile security technologies can be integrated within an enterprise’s network. This NIST Cybersecurity Practice Guide demonstrates how organizations can use standards-based, commercially available products to help meet their mobile device security and privacy needs.Item Modeling Space Radiation Induced Cognitive Dysfunction Using Targeted And Non-Targeted Effects(2020-12-01) Shuryak, Igor; Brenner, David; Blattnig, Steven; Shukitt-Hale, Barbara; Rabin, BernardRadiation-induced cognitive dysfunction is increasingly recognized as an important risk for human exploration of distant planets. Mechanistically-motivated mathematical modeling helps to interpret and quantify this phenomenon. Here we considered two general mechanisms of ionizing radiation-induced damage: targeted effects (TE), caused by traversal of cells by ionizing tracks, and non-targeted effects (NTE), caused by responses of other cells to signals released by traversed cells. We compared the performances of 18 dose response model variants based on these concepts, fitted by robust nonlinear regression to a large published data set on novel object recognition testing in rats exposed to multiple space-relevant radiation types (H, C, O, Si, Ti and Fe ions), covering wide ranges of linear energy transfer (LET) (0.22-181 keV/µm) and dose (0.001-2 Gy). The strongest support (by Akaike information criterion) was found for an NTE+TE model where NTE saturate at low doses (~0.01 Gy) and occur at all tested LETs, whereas TE depend on dose linearly with a slope that increases with LET. The importance of NTE was also found by additional analyses of the data using quantile regression and random forests. These results suggest that NTE-based radiation effects on brain function are potentially important for astronaut health and for space mission risk assessments.