TY - THES A1 - Gerl, Armin T1 - Modelling of a Privacy Language and Efficient Policy-based De-identification N2 - The processing of personal information is omnipresent in our data-driven society enabling personalized services, which are regulated by privacy policies. Although privacy policies are strictly defined by the General Data Protection Regulation (GDPR), no systematic mechanism is in place to enforce them. Especially if data is merged from several sources into a data-set with different privacy policies associated, the management and compliance to all privacy requirements is challenging during the processing of the data-set. Privacy policies can vary hereby due to different policies for each source or personalization of privacy policies by individual users. Thus, the risk for negligent or malicious processing of personal data due to defiance of privacy policies exists. To tackle this challenge, a privacy-preserving framework is proposed. Within this framework privacy policies are expressed in the proposed Layered Privacy Language (LPL) which allows to specify legal privacy policies and privacy-preserving de-identification methods. The policies are enforced by a Policy-based De-identification (PD) process. The PD process enables efficient compliance to various privacy policies simultaneously while applying pseudonymization, personal privacy anonymization and privacy models for de-identification of the data-set. Thus, the privacy requirements of each individual privacy policy are enforced filling the gap between legal privacy policies and their technical enforcement. KW - Privacy Language KW - Personal Privacy KW - Privacy-Preservation KW - GDPR KW - LPL KW - Datenschutz KW - Anonymisierung KW - Pseudonymisierung KW - Formale Sprache KW - Datenschutzgesetz Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-7674 ER - TY - JOUR A1 - Becher, Stefan A1 - Gerl, Armin ED - Sarne, Giuseppe Maria Luigi ED - Ma, Jianhua ED - Rosaci, Domenico ED - Srivastava, Gautam T1 - ConTra Preference Language: Privacy Preference Unification via Privacy Interfaces JF - Sensors N2 - After the enactment of the GDPR in 2018, many companies were forced to rethink their privacy management in order to comply with the new legal framework. These changes mostly affect the Controller to achieve GDPR-compliant privacy policies and management.However, measures to give users a better understanding of privacy, which is essential to generate legitimate interest in the Controller, are often skipped. We recommend addressing this issue by the usage of privacy preference languages, whereas users define rules regarding their preferences for privacy handling. In the literature, preference languages only work with their corresponding privacy language, which limits their applicability. In this paper, we propose the ConTra preference language, which we envision to support users during privacy policy negotiation while meeting current technical and legal requirements. Therefore, ConTra preferences are defined showing its expressiveness, extensibility, and applicability in resource-limited IoT scenarios. In addition, we introduce a generic approach which provides privacy language compatibility for unified preference matching. KW - privacy KW - preference language KW - legal factors KW - GDPR KW - usability Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11218 SN - 1424-8220 VL - 22 IS - 14 PB - MDPI CY - Basel, Switzerland ER - TY - JOUR A1 - von der Heyde, Markus A1 - Gerl, Armin T1 - Entwicklungsstand der CIO-Funktion und hochschulübergreifenden IT-Governance im Kontext der Digitalen Transformation an Hochschulen in Bayern JF - HMD Praxis der Wirtschaftsinformatik N2 - Die Hochschulen befinden sich durch vielfältige Veränderungs-prozesse in Verbindung mit dem Einsatz von Informationstechnologien (IT) aufdem Weg der Digitalen Transformation. Diese Digitale Transformation der Hoch-schulen umfasst intensive Veränderungsprozesse in der gesamten Hochschulkulturin Lehre, Forschung und Verwaltung in übergreifender und strukturierter Weise.Seit vielen Jahren werden vielfältige Digitalisierungsvorhaben zur Modernisierungvon einzelnen Prozessen an den Hochschulen umgesetzt. Die Leitungen der Re-chenzentren leisten mit der Umsetzung von IT-Projekten einen zentralen Beitrag zudiesem Wandel. Mit der Einführung der CIO-Funktion in den Hochschulleitungenund der hochschulübergreifenden Kooperationen hat sich die IT-Governance wei-terentwickelt. Insbesondere für die Digitale Transformation werden Strukturen zurKoordination der übergreifenden Vorhaben benötigt, wobei zusätzlich zur IT-Lei-tung eine Vielzahl von Funktionsträgern mit fachlichen Aufgaben aus Forschung,Lehre und Verwaltung involviert ist. Es stellt sich die Frage, wie die Digitale Trans-formation an Hochschulen gesteuert werden kann und in welcher organisatorischenForm sich die Aufgaben und Verantwortlichkeiten im Hochschulkontext realisierenlassen. An der Weiterentwicklung der IT-Governance an bayerischen Hochschulenwird beispielhaft erläutert, welche übergreifenden Aufgaben der Koordination vonBedarf und Versorgung mit IT-Services zwischen und innerhalb der Hochschulenbestehen. Die CIO-Funktion wird durch die Verankerung in der Leitungsebene derFunktion des Chief Digital Officers (CDO) aus der Wirtschaft ähnlicher, auch wennin Hochschulen aufgrund der klassischen Ressort-Einteilung die Rolle oft als Vize-präsident:in für Digitalisierung bezeichnet wird. KW - Digitale Transformation KW - IT-Governance KW - Hochschulen KW - Bildung KW - CIO KW - CDO Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2022072222053919381076 VL - 2022 IS - 59 SP - 881 EP - 895 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Fekih Hassen, Wiem A1 - Schoppik, Luis A1 - Schiegg, Sascha A1 - Gerl, Armin T1 - Power management approach of hybrid energy storage system for electric vehicle charging stations JF - Smart Cities N2 - The applicability of Hybrid Energy Storage Systems (HESSs) has been shown in multiple application fields, such as Charging Stations (CSs), grid services, and microgrids. HESSs consist of an integration of two or more single Energy Storage Systems (ESSs) to combine the benefits of each ESS and improve the overall system performance. In this work, we propose a novel power management controller called the Hybrid Controller for the efficient HESS’s charging and discharging, considering the State of Charge (SoC) of the HESS and the dynamic supply and load. The Hybrid Controller optimises the use of the HESS, i.e., minimises the amount of energy drawn from and discharged to the grid, thus utilising and prioritising the provided Photovoltaic (PV) power. The performance of our proposal was assessed via simulation using various evaluation metrics, i.e., Autarky, charge/discharge cycle, and Self-Consumption (SC), where we defined 24 scenarios in different locations in Germany. KW - HESS KW - RFB KW - lithium battery KW - power distribution KW - OpenEMS KW - real load dataset Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:m347-opus-6045 SN - 2624-6511 VL - 7 (2024) IS - 6 SP - 4025 EP - 4051 PB - MDPI CY - Basel ER -