The Coordination of Artificial Intelligence and Human Security Experts in the Field of Cybersecurity
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2020
Typ der Arbeit
Master
Studiengang
Sammlung
Typ
11 - Studentische Arbeit
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Hochschule für Wirtschaft FHNW
Verlagsort / Veranstaltungsort
Olten
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
As the literature review and expert interviews conducted as part of this master's thesis revealed, it is becoming increasingly difficult for companies to protect their digital assets. There are a wide variety of challenges they are currently facing. As it could be shown, AI can significantly support companies in tackling many of these challenges. AI alone, however, is not capable of alleviating all the concerns companies have about cybersecurity issues as both interviewed experts and literature sources agree. The most significant added value can be achieved as a team of employees and AI, where they compensate for each other's weaknesses. This Master Thesis's goal was to develop a framework to help organizations implement AI in the cybersecurity domain in a way that it is optimally aligned with their employees. The framework is composed of different parts. The core of the framework is the methodical procedure for the conception, introduction, and operation of a coordination-optimized AI. From this procedure, references are made to the other parts of the Thesis, which all represent central components in the framework. Thus, acute challenges were identified in the context of this thesis and examined in terms of how strongly AI can support in overcoming them. Also, relevant characteristics of AI systems that foster a partnership with cybersecurity experts were determined. Besides, the framework addresses preconditions and key success factors for the successful use of AI in cybersecurity. To design the framework, interviews with experts in the field were conducted in parallel to an in-depth literature review. When selecting the experts, care was taken to ensure that they had as many different perspectives as possible to achieve a broad-based framework.
Schlagwörter
Fachgebiet (DDC)
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Begutachtung
Open Access-Status
Lizenz
Zitation
Engel, J. (2020). The Coordination of Artificial Intelligence and Human Security Experts in the Field of Cybersecurity [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/40452