Rolf Clauberg: List of Publications

This article provides an analysis of the modern economic world order, considering the emergence of new “centers of power” and networks of collaborating states. The article begins by presenting the historical evolution of regional and global powers, focusing on their colonial past. The emphasis is on the factors that led to their “political power”, as well as “political collapse” as a result of various wars. It then analyzes China's strategic moves that have allowed it to transform itself from an insignificant country into an important economic and political power. In addition, a US response is being considered to stem China's rising power. The article also examines the growing influence of individual countries in the global world, as well as the current global situation associated with a change in the world economic order.

This article will first consider the evolution of international relations from the end of World War II up to today to understand the present global situation. Then it will look into the use of trade sanctions in so-called hybrid or total wars within an economically integrated global world.

This paper analyses the changes in global trading patterns and economic relations from about the year 2000 to the present. Findings are that the evolution of China to a strong international power is based on clear strategic steps in manufacturing, outward foreign direct investment, education, as well as science and technology. Thereby challenging the present global superpower, the USA, in its economic, scientific, and technology positions and international relations. The resulting trade war started by the USA and the related actions against Russia may push China and Russia into a strategic partnership and the world into a bipolar order dominated by China and the USA.

Unsupervised anomaly detection (AD) has shown promise against the frequently new cyberattacks. But, as anomalies are not always malicious, such systems generate prodigious false alarm rates. The resulting manual validation workload often overwhelms the IT operators: it slows down the system reaction by orders of magnitude and ultimately thwarts its applicability. Therefore, we propose a real-time network AD system that reduces the manual workload by coupling 2 learning stages. The first stage performs adaptive unsupervised AD using a shallow autoencoder. The second stage uses a custom nearest-neighbor classifier to filter the false positives by modeling the manual classification. We implement a prototype for 10-50Gbps speeds and evaluate it with traffic from a national network operator: we achieve 98.5% true and 1.3% false positive rates, while reducing the human intervention rate by 5x.

While the scale, frequency and impact of the recent cyber- and DoS-attacks have all increased, the traditional security management systems are still supervised by human operators in the decisional loop. To cope with the new breed of machine-driven attacks - particularly those designed to overload the humans in the loop - the next-generation anomaly detection and attack mitigation schema, i.e. the network security management, must improve greatly in speed and accuracy: become machine-driven, too. As infrastructure we propose an FPGA-accelerated Network Function Virtualization that potentially enhances the current multi-Tbps switching fabrics with SDN-based security capabilities of vastly higher performance and scalability. As key novelties, we contribute (i) sub-ms detection lag (ii) of the top 9 Akamai attacks [1] with (iii) a real-time SDN feedback loop between a distributed programmable data plane and a centralized SDN controller, (iv) coupled via a global N:1 mirror. We validate the concept in an actual datacenter network with a new security application that can detect and mitigate real-world dDoS attacks, with lags from 430 us up to 3 ms - several orders of magnitude faster than before.

From sensor/actuator to business application - a federated sensor network architecture with partial processing at the network edge.