Internet Predictions

More than a dozen leading experts give their opinions on where the Internet is headed and where it will be in the next decade in terms of technology, policy, and applications. They cover topics ranging from the Internet of Things to climate change to the digital storage of the future. A summary of the articles is available in the Web extras section

Correction of atmospheric delay effects in radar interferometry using a nested mesoscale atmospheric model

The temporal variability of the atmosphere through which radio waves pass in the technique of differential radar interferometry can seriously limit the accuracy with which the method can measure surface motion. A forward, nested mesoscale model of the atmosphere can be used to simulate the variable water content along the radar path and the resultant phase delays. Using this approach we demonstrate how to correct an interferogram of Mount Etna in Sicily associated with an eruption in 2004-5. The regional mesoscale model (Unified Model) used to simulate the atmosphere at higher resolutions consists of four nested domains increasing in resolution (12, 4, 1, 0.3 km), sitting within the analysis version of a global numerical model that is used to initiate the simulation. Using the high resolution 3D model output we compute the surface pressure, temperature and the water vapour, liquid and solid water contents, enabling the dominant hydrostatic and wet delays to be calculated at specific times corresponding to the acquisition of the radar data. We can also simulate the second-order delay effects due to liquid water and ice

Tangles, trees, and flowers

A tangle of order $k$ in a matroid or graph may be thought of as a "$k$-connected component". For a tangle of order $k$ in a matroid or graph that satisfies a certain robustness condition, we describe a tree decomposition of the matroid or graph that displays, up to a certain natural equivalence, all of the $k$-separations of the matroid or graph that are non-trivial with respect to the tangle.Comment: 31 pages, 1 figur

IVLE4C a Conceptual Learning Environment for Teaching Enterprise Cybersecurity

The authors are working to improve students’ understanding of and classroom experience with enterprise cybersecurity. Central to this effort is development of the Integrated Virtual Learning Environment for Cybersecurity (IVLE4C), a teaching and learning tool intended for use by both teachers and students. The authors are endeavoring to incorporate into IVLE4C best practices from the knowledge domains of education, model-based systems engineering, and cybersecurity. A modern digital enterprise is a large-scale, complex system of systems. Enterprise cybersecurity is a special subset of the larger knowledge domain that merits special consideration when instructing students who lack relevant work experience. This lack of work experience creates a gap in students’ knowledge about the structure, operation, and control of a modern digital enterprise. Our guiding precept – coined Greer’s Rule of Thumb – is that: it is impossible to defend what cannot be visualized and described. Therefore, it is essential to address the student enterprise knowledge gap before attempting to teach the means for assuring enterprise cybersecurity. Viste and Skartveit (2004) propose using an interactive virtual learning environment with reality abstraction models when teaching the structure, operation, and control of a large-scale complex system. The creation of a virtual model enables a modern digital enterprise to be brought into the classroom. This allows for learning that is complementary to experiential learning that occurs during an internship and, possibly, a viable alternative when internships are unavailable or come later in a curriculum path. Once developed, a library of models representing different digital enterprise types can be used to accelerate student enterprise cybersecurity education in a controlled classroom environment. During the presentation, the authors will provide an update on the use of model-based system engineering practices and how they are being integrated into IVLE4C for developing a tailored, enterprise risk management strategy. This approach is consistent with guidance provided in the NIST Cybersecurity Framework. Research shows model-based systems engineering is increasingly being used for developing engineered cybersecurity solutions. An example of this is research performed by Robles-Ramirez et.al. (2020) on the application of model-based Cybersecurity Engineering for Connected and Automated Vehicles. Key is the notion of turning a cyber-attack surface into a trust boundary at targeted levels. IVLE4C version 1.0 is currently being used to teach Cyber Supply Chain Security at UNCW. Version 2.0 is a dynamic data driven web application, that is being developed for teaching Enterprise Security