Markus Zeilinger

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—Despite extensive research effort, ordinary anomaly detection systems still suffer from serious drawbacks such as high false alarm rates due to the enormous variety of network traffic. Also, increasingly fast network speeds pose performance problems to systems which base upon deep packet inspection. In this paper, we address these problems by proposing a(More)
—Android is an open software platform for mobile devices with a large market share in the smartphone sector. The openness of the system as well as its wide adoption lead to an increasing amount of malware developed for this platform. ANANAS is an expandable and modular framework for analyzing Android applications. It takes care of common needs for dynamic(More)
Detecting malicious connection attempts and attacks against web-based applications is one of many approaches to protect the World Wide Web and its users. In this paper, we present a generic method for detecting anomalous and potentially malicious web requests from the network's point of view without prior knowledge or training data of the web-based(More)
Changes in the expression of the melanin concentrating hormone receptor 1 (MCHR1) are involved in a variety of pathologies, especially obesity and anxiety disorders. To monitor these pathologies in-vivo positron emission tomography (PET) is a suitable method. After the successful radiosynthesis of [(11)C]SNAP-7941-the first PET-Tracer for the MCHR1, we(More)
The melanin-concentrating hormone (MCH) system is a new target for the treatment of human disorders. Since the knowledge of the MCH system's involvement in a variety of pathologies (obesity, diabetes, and deregulation of metabolic feedback mechanism) is based on in vitro or preclinical studies, a suitable positron emission tomography (PET) tracer needs to(More)
In recent years, much research focused on entropy as a metric describing the " chaos " inherent to network traffic. In particular, network entropy time series turned out to be a scalable technique to detect unexpected behavior in network traffic. In this paper, we propose an algorithm capable of detecting abrupt changes in network entropy time series.(More)
BACKGROUND The melanin-concentrating hormone receptor 1 (MCHR1), which is highly expressed in the lateral hypothalamus, plays a key role in energy homeostasis, obesity and other endocrine diseases. Hence, there is a major interest in in vivo imaging of this receptor. A PET tracer would allow non-invasive in vivo visualization and quantification of the(More)
PURPOSE The adenosine A3 receptor (A3R) is involved in cardiovascular, neurological and tumour-related pathologies and serves as an exceptional pharmaceutical target in the clinical setting. A3R antagonists are considered antiinflammatory, antiallergic and anticancer agents, and to have potential for the treatment of asthma, COPD, glaucoma and stroke.(More)