Vom Hacking zum Cyberwar (German Edition)

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Früher waren Hackerangriffe Einzeltaten von Cyberpunks, die nach Ruhm und Anerkennung in der Szene strebten. Die Entwicklung geht jedoch dahin, dass die Hacker von staatlichen Stellen gezielt zur Informationsgewinnung oder zur Störung der Infrastruktur in anderen Staaten eingesetzt werden. Das Recht steht hier vor großen Herausforderungen. Zunächst ist dabei das Computerstrafrecht zu untersuchen. Welche Phänomene werden erfasst? Sind diese Normen rechtsstaatlich tragfähig? Weiterhin werden die Fragen gestellt, welche Entwicklungen rechtstatsächlich zu erwarten sind und wie auf diese Herausforderungen reagiert werden kann und soll. Als Aufhänger dient dabei der Film "23 – Nichts ist so wie es scheint". Dieser Film behandelt den sog. KGB-Hack in den 1980er-Jahren. Dieses Ereignis war zum einen einer der Ausgangspunkte bei der Entwicklung des Computerstrafrechts. Zum anderen zeichnete sich schon damals die Entwicklung ab, dass Geheimdienste die Hacker für sich nutzbar machen wollen und können.

Cyber Threat: The Rise of Information Geopolitics in U.S. National Security (Praeger Security International)

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Computer Security: Are We Prepared For Cyberwar? – Scholar’s Choice Edition

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This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.

This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.
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Parallel Computing for Data Science: With Examples in R, C++ and CUDA (Chapman & Hall/CRC The R Series)

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Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time series, network graph models, and numerous other structures common in data science. The examples illustrate the range of issues encountered in parallel programming.

With the main focus on computation, the book shows how to compute on three types of platforms: multicore systems, clusters, and graphics processing units (GPUs). It also discusses software packages that span more than one type of hardware and can be used from more than one type of programming language. Readers will find that the foundation established in this book will generalize well to other languages, such as Python and Julia.

Creating a Network Model for the Integration of a Dynamic and Static Supervisory Control and Data Acquisition (SCADA) Test Environment

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Since 9/11 protecting our critical infrastructure has become a national priority. Presidential Decision Directive 63 mandates and lays a foundation for ensuring all aspects of our nation's critical infrastructure remain secure. Key in this debate is the fact that much of our electrical power grid fails to meet the spirit of this requirement. My research leverages the power afforded by Electric Power and Communication Synchronizing Simulator (EPOCHS) developed with the assistance of Dr. Hopkinson, et al. The power environment is modeled in an electrical simulation environment called PowerWorld . The network is modeled in OPNET and populated with self-similar network and Supervisory Control and Data Acquisition (SCADA). The two are merged into one working tool that can realistically model and provide a dynamic network environment coupled with a robust communication methodology. This new suite of tools will enhance the way we model and test hybrid SCADA networks. By combining the best of both worlds we get an effective and robust methodology that correctly predicts the impact of SCADA traffic on a LAN and vice versa. This ability to properly assess data flows will allow professionals in the power industry to develop tools that effectively model future concepts for our critical infrastructure.