77 research outputs found

    Honeypot for Wireless Sensor Networks

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    People have understood that computer systems need safeguarding and require knowledge of security principles for their protection. While this has led to solutions for system components such as malware-protection, firewalls and intrusion detection systems, the ubiquitous usage of tiny microcomputers appeared at the same time. A new interconnectivity is on the rise in our lives. Things become “smart” and increasingly build new networks of devices. In this context the wireless sensor networks here interact with users and also, vice versa as well; unprivileged users able to interact with the wireless sensor network may harm the privileged user as a result. The problem that needs to be solved consists of possible harm that may be caused by an unprivileged user interacting with the wireless sensor network of a privileged user and may come via an attack vector targeting a vul- nerability that may take as long as it is needed and the detection of such mal-behaviour can only be done if a sensing component is implemented as a kind of tool detecting the status of the attacked wireless sensor network component and monitors this problem happening as an event that needs to be researched further on. Innovation in attack detection comprehension is the key aspect of this work, because it was found to be a set of hitherto not combined aspects, mechanisms, drafts and sketches, lacking a central combined outcome. Therefore the contribution of this thesis consists in a span of topics starting with a summary of attacks, possible countermeasures and a sketch of the outcome to the design and implementation of a viable product, concluding in an outlook at possible further work. The chosen path for the work in this research was experimental prototype construction following an established research method that first highlights the analysis of attack vectors to the system component and then evaluates the possibilities in order to im- prove said method. This led to a concept well known in common large-scale computer science systems, called a honeypot. Its common definitions and setups were analy- sed and the concept translation to the wireless sensor network domain was evaluated. Then the prototype was designed and implemented. This was done by following the ap- proach set by the science of cybersecurity, which states that the results of experiments and prototypes lead to improving knowledge intentionally for re-use

    Study of exclusive one-pion and one-eta production using hadron and dielectron channels in pp reactions at kinetic beam energies of 1.25 GeV and 2.2 GeV with HADES

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    We present measurements of exclusive ensuremathπ+,0 and η production in pp reactions at 1.25GeV and 2.2GeV beam kinetic energy in hadron and dielectron channels. In the case of π+ and π0 , high-statistics invariant-mass and angular distributions are obtained within the HADES acceptance as well as acceptance-corrected distributions, which are compared to a resonance model. The sensitivity of the data to the yield and production angular distribution of Δ (1232) and higher-lying baryon resonances is shown, and an improved parameterization is proposed. The extracted cross-sections are of special interest in the case of pp → pp η , since controversial data exist at 2.0GeV; we find \ensuremathσ=0.142±0.022 mb. Using the dielectron channels, the π0 and η Dalitz decay signals are reconstructed with yields fully consistent with the hadronic channels. The electron invariant masses and acceptance-corrected helicity angle distributions are found in good agreement with model predictions

    Benchmarking of Mutation Diagnostics in Clinical Lung Cancer Specimens

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    Treatment of EGFR-mutant non-small cell lung cancer patients with the tyrosine kinase inhibitors erlotinib or gefitinib results in high response rates and prolonged progression-free survival. Despite the development of sensitive mutation detection approaches, a thorough validation of these in a clinical setting has so far been lacking. We performed, in a clinical setting, a systematic validation of dideoxy ‘Sanger’ sequencing and pyrosequencing against massively parallel sequencing as one of the most sensitive mutation detection technologies available. Mutational annotation of clinical lung tumor samples revealed that of all patients with a confirmed response to EGFR inhibition, only massively parallel sequencing detected all relevant mutations. By contrast, dideoxy sequencing missed four responders and pyrosequencing missed two responders, indicating a dramatic lack of sensitivity of dideoxy sequencing, which is widely applied for this purpose. Furthermore, precise quantification of mutant alleles revealed a low correlation (r2 = 0.27) of histopathological estimates of tumor content and frequency of mutant alleles, thereby questioning the use of histopathology for stratification of specimens for individual analytical procedures. Our results suggest that enhanced analytical sensitivity is critically required to correctly identify patients responding to EGFR inhibition. More broadly, our results emphasize the need for thorough evaluation of all mutation detection approaches against massively parallel sequencing as a prerequisite for any clinical implementation

    Centrality evolution of the charged-particle pseudorapidity density over a broad pseudorapidity range in Pb-Pb collisions at root s(NN)=2.76TeV

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    Influence of high glucose in the expression of miRNAs and IGF1R signaling pathway in human myometrial explants

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    Purpose!#!Several roles are attributed to the myometrium including sperm and embryo transport, menstrual discharge, control of uterine blood flow, and labor. Although being a target of diabetes complications, the influence of high glucose on this compartment has been poorly investigated. Both miRNAs and IGF1R are associated with diabetic complications in different tissues. Herein, we examined the effects of high glucose on the expression of miRNAs and IGF1R signaling pathway in the human myometrium.!##!Methods!#!Human myometrial explants were cultivated for 48 h under either high or low glucose conditions. Thereafter, the conditioned medium was collected for biochemical analyses and the myometrial samples were processed for histological examination as well as miRNA and mRNA expression profiling by qPCR.!##!Results!#!Myometrial structure and morphology were well preserved after 48 h of cultivation in both high and low glucose conditions. Levels of lactate, creatinine, LDH and estrogen in the supernatant were similar between groups. An explorative screening by qPCR arrays revealed that 6 out of 754 investigated miRNAs were differentially expressed in the high glucose group. Data validation by single qPCR assays confirmed diminished expression of miR-215-5p and miR-296-5p, and also revealed reduced miR-497-3p levels. Accordingly, mRNA levels of IGF1R and its downstream mediators FOXO3 and PDCD4, which are potentially targeted by miR-497-3p, were elevated under high glucose conditions. In contrast, mRNA expression of IGF1, PTEN, and GLUT1 was unchanged.!##!Conclusions!#!The human myometrium responds to short-term exposure (48 h) to high glucose concentrations by regulating the expression of miRNAs, IGF1R and its downstream targets

    Challenges in Optimizing a Prostate Carcinoma Binding Peptide, Identified through the Phage Display Technology

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    The transfer of peptides identified through the phage display technology to clinical applications is difficult. Major drawbacks are the metabolic degradation and label instability. The aim of our work is the optimization of DUP-1, a peptide which was identified by phage display to specifically target human prostate carcinoma. To investigate the influence of chelate conjugation, DOTA was coupled to DUP-1 and labeling was performed with 111In. To improve serum stability cyclization of DUP-1 and targeted D-amino acid substitution were carried out. Alanine scanning was performed for identification of the binding site and based on the results peptide fragments were chemically synthesized. The properties of modified ligands were investigated in in vitro binding and competition assays. In vivo biodistribution studies were carried out in mice, carrying human prostate tumors subcutaneously. DOTA conjugation resulted in different cellular binding kinetics, rapid in vivo renal clearance and increased tumor-to-organ ratios. Cyclization and D-amino acid substitution increased the metabolic stability but led to binding affinity decrease. Fragment investigation indicated that the sequence NRAQDY might be significant for target-binding. Our results demonstrate challenges in optimizing peptides, identified through phage display libraries, and show that careful investigation of modified derivatives is necessary in order to improve their characteristics
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