@masterthesis{AbdoulKarim2024, type = {Bachelor Thesis}, author = {Abdoul Karim, Malik}, title = {Verbesserung der Alarmqualit{\"a}t und Entscheidungsfindung bei der Erkennung von Cyberangriffen durch Integration von Threat Intelligence und externen Datenquellen}, address = {Brandenburg an der Havel}, doi = {10.25933/opus4-3210}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-32103}, school = {Technische Hochschule Brandenburg}, pages = {64}, year = {2024}, abstract = {Diese Arbeit untersucht die Integration von externer Threat Intelligence in Cybersicherheitsplattformen, um die Erkennung von Bedrohungen in Echtzeit und die Reaktion auf Vorf{\"a}lle zu verbessern. Durch den Einsatz von Datenscraping-Techniken auf sozialen Medien (X) in Kombination mit einer Python-basierten Verarbeitungspipeline und Elasticsearch zur Speicherung und Abfrage von Daten wird ein robustes System zur Analyse und Visualisierung bedrohungsrelevanter Informationen entwickelt. Das System integriert Natural Language Processing (NLP) Techniken, wie das Stanford CoreNLP-Framework und den Stucco Entity Extractor, um gesammelte Daten mit Cybersicherheitsentit{\"a}ten anzureichern. Zudem werden maschinelle Lernmodelle, insbesondere Satztransformatoren, verwendet, um Texte einzubetten und die Kosinus-{\"A}hnlichkeit zwischen potenziellen Bedrohungen und Warnmeldungen zu berechnen. Damit wird gezeigt, dass die Korrelation externer Datenquellen mit Threat Intelligence die Pr{\"a}zision von Alarmen erheblich verbessert und sicherheitsrelevante Einblicke f{\"u}r Analysten liefert. Das finale System bietet eine skalierbare und effiziente Datenverarbeitung sowie Echtzeit-Visualisierungen durch Elasticsearch und Kibana-Dashboards zur Unterst{\"u}tzung der Entscheidungsfindung in der Cybersicherheit.}, subject = {Maschinelles Lernen}, language = {de} } @misc{AndrzejewskiBoerschSchraderetal.2014, author = {Andrzejewski, Dennis and Boersch, Ingo and Schrader, Thomas and Haeusler, N. and Ledwon, P. and Beck, Eberhard}, title = {Potentials of Computer-aided Decision Support Systems in Medicine}, year = {2014}, language = {en} } @incollection{AndrzejewskiBreitschwerdtBeck2017, author = {Andrzejewski, Dennis and Breitschwerdt, R{\"u}diger and Beck, Eberhard}, title = {Digitales Entscheidungsmanagement in der Medizin: Modellierung von Behandlungsempfehlungen in der Onkologie}, series = {Digitale Transformation von Dienstleistungen im Gesundheitswesen Teil: 2., Impulse f{\"u}r das Management}, booktitle = {Digitale Transformation von Dienstleistungen im Gesundheitswesen Teil: 2., Impulse f{\"u}r das Management}, publisher = {Springer Gabler}, address = {Wiesbaden}, isbn = {978-3-658-12392-5}, publisher = {Technische Hochschule Brandenburg}, pages = {153 -- 166}, year = {2017}, language = {de} } @misc{AndrzejewskiHaeuslerLedwonetal.2013, author = {Andrzejewski, Dennis and Haeusler, N. and Ledwon, P. and Boersch, Ingo and Beck, Eberhard}, title = {Die Analyse des Entscheidungsprozesses in der Senologie zur Konzeption eines entscheidungsunterst{\"u}tzenden Systems}, year = {2013}, language = {de} } @inproceedings{AndrzejewskiTetzlaffDeBoeretal.2015, author = {Andrzejewski, Dennis and Tetzlaff, Laura and DeBoer, Julien and Beck, Eberhard and Haeusler, Nicole}, title = {The Transparent Representation of Medical Decision Structures Based on the Example of Breast Cancer Treatment}, series = {HEALTHINF 2015 : proceedings of the International Conference on Health Informatics : Lisbon, Portugal, 12 - 15 January 2015 ; [... part of: BIOSTEC 2015, 8th International Joint Conference on Biomedical Engineering Systems and Technologies]}, booktitle = {HEALTHINF 2015 : proceedings of the International Conference on Health Informatics : Lisbon, Portugal, 12 - 15 January 2015 ; [... part of: BIOSTEC 2015, 8th International Joint Conference on Biomedical Engineering Systems and Technologies]}, publisher = {SCITEPRESS}, isbn = {978-989-758-068-0}, pages = {617 -- 621}, year = {2015}, language = {en} } @inproceedings{ArndtKraetzerVielhauer2012, author = {Arndt, Christian and Kraetzer, Christian and Vielhauer, Claus}, title = {First approach for a computer-aided textile fiber type determination based on template matching using a 3D laser scanning microscope}, series = {Proceedings of the on Multimedia and security, MM\&Sec '12 Multimedia and Security Workshop Coventry, United Kingdom — September 06 - 07, 2012}, booktitle = {Proceedings of the on Multimedia and security, MM\&Sec '12 Multimedia and Security Workshop Coventry, United Kingdom — September 06 - 07, 2012}, editor = {Li, Chang-Tsun}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-1417-6}, pages = {57 -- 66}, year = {2012}, language = {en} } @inproceedings{ArnoldKindsmueller2021, author = {Arnold, Jessica and Kindsm{\"u}ller, Martin Christof}, title = {UX-Botschafter: Verankerung der UX-Philosophie in ein mittelst{\"a}ndiges Unternehmen}, series = {Mensch und Computer 2021 - Usability Professionals ; Konferenz 5. bis 8. September 2021 in Ingolstadt}, booktitle = {Mensch und Computer 2021 - Usability Professionals ; Konferenz 5. bis 8. September 2021 in Ingolstadt}, editor = {Ludewig, E.}, publisher = {Gesellschaft f{\"u}r Informatik e.V. und German UPA e.V.}, address = {Bonn}, doi = {10.18420/muc2021-up-300}, year = {2021}, language = {de} } @inproceedings{BachtelerBaldaKindsmueller2018, author = {Bachteler, Yannik and Balda, Michael and Kindsm{\"u}ller, Martin Christof}, title = {Benutzungsschnittstellen zur Vermittlung erkannter Emotionen}, series = {Mensch und Computer 2018 : Tagungsband}, booktitle = {Mensch und Computer 2018 : Tagungsband}, editor = {Dachselt, R.}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, address = {Bonn}, doi = {10.18420/muc2018-mci-0383}, year = {2018}, language = {de} } @article{BoerschFuesselGreschetal.2016, author = {Boersch, Ingo and F{\"u}ssel, Uwe and Gresch, Christoph and Großmann, Christoph and Hoffmann, Benjamin}, title = {Data mining in resistance spot welding - A non-destructive method to predict the welding spot diameter by monitoring process parameters}, series = {The International Journal of Advanced Manufacturing Technology}, journal = {The International Journal of Advanced Manufacturing Technology}, editor = {London, Springer}, doi = {10.1007/s00170-016-9847-y}, year = {2016}, abstract = {Resistance spot welding is the dominant process in the present mass production of steel constructions without sealing requirements with single sheet thicknesses up to 3 mm. Two of the main applications of resistance spot welding are the automobile and the railway vehicle manufacturing industry. The majority of these connections has safety-related character and therefore they must not fall below a certain weld diameter. Since resistance spot welding has been established, this weld diameter has been usually used as the gold standard. Despite intensive efforts, there has not been found yet a reliable method to detect this connection quality non-destructively. Considerable amounts of money and steel sheets are wasted on making sure that the process does not result in faulty joints. The indication of the weld diameter by in-process monitoring in a reliable way would allow the quality documentation of joints during the welding process and additionally lead through demand-actuated milling cycles to a substantial decrease of electrode consumption. An annual, estimated reduction in the seven- to nine-figure range could be achieved. It has an important impact, because the economics of the process is essentially characterized by the electrode caps (Klages 24). We propose a simple and straightforward approach using data mining techniques to accurately predict the weld diameter from recorded data during the welding process. In this paper, we describe the methods used during data preprocessing and segmentation, feature extraction and selection, and model creation and validation. We achieve promising results during an analysis of more than 3000 classified welds using a model tree as a predictor with a success rate of 93 \%. In the future, we hope to validate our model with unseen welding data and implement it in a real world application.}, language = {en} } @inproceedings{BohnenstengelKindsmuellerHerczeg2011, author = {Bohnenstengel, Philipp and Kindsm{\"u}ller, Martin Christof and Herczeg, Michael}, title = {MCI-DL: Eine digitale Bibliothek f{\"u}r Mensch-Computer-Interaktion}, series = {In: Mensch \& Computer 2011 : 11. fach{\"u}bergreifende Konferenz f{\"u}r interaktive und kooperative Medien. {\"u}berMEDIEN/{\"U}BERmorgen}, booktitle = {In: Mensch \& Computer 2011 : 11. fach{\"u}bergreifende Konferenz f{\"u}r interaktive und kooperative Medien. {\"u}berMEDIEN/{\"U}BERmorgen}, editor = {Eibl, Maximilian}, publisher = {Oldenbourg}, address = {M{\"u}nchen}, isbn = {978-3-486-71235-3 (Printausgabe)}, doi = {10.1524/9783486712742.289}, pages = {289 -- 292}, year = {2011}, language = {de} }