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Cybersecurity Testing with BDD Approach: Testing of a GNSS Spoofing Detector

Manisha Reddy, Chavva (2024) Cybersecurity Testing with BDD Approach: Testing of a GNSS Spoofing Detector. DLR-Interner Bericht. DLR-IB-FT-BS-2024-138. Masterarbeit. Clausthal University of Technology, Germany.

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Kurzfassung

In an era of rapid technological advancement, ensuring the security of emerging technologies is paramount. However, the growing sophistication of cyber attackers poses a significant chal- lenge to keep safe from cyber-attacks. Cybersecurity testing plays a crucial role in identifying vulnerabilities and mitigating potential threats. Even after developing many advanced tools and technologies, the attackers find a way to gain unauthorized access by finding vulnerabilities in the software through various means. Hence, testing the applications to find the vulnerabilities is es- sential before launching or releasing them. This research work represents Cyber Security Testing on a Global Navigation Satellite System (GNSS) Spoofing Detector. By integrating the Behavior- Driven Development (BDD) methodology with the Aeronautical Radio Incorporated (ARINC 653) Hypervisor in an avionics environment, this study aims to enhance the detection and mitigation of spoofing attacks, a prominent threat in aviation. The BDD approach promotes effective commu- nication among testers, developers, and stakeholders, ensuring that the system meets its intended requirements. Employing BDD for acceptance testing significantly improves the reliability and ef- fectiveness of the GNSS spoofing detector in identifying potential threats. This research not only highlights the feasibility of applying BDD in cybersecurity testing within the avionics domain but also suggests broader implications for the security of emerging technologies against sophisticated cyber-attacks.

elib-URL des Eintrags:https://elib.dlr.de/206651/
Dokumentart:Berichtsreihe (DLR-Interner Bericht, Masterarbeit)
Titel:Cybersecurity Testing with BDD Approach: Testing of a GNSS Spoofing Detector
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Manisha Reddy, ChavvaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2024
Open Access:Nein
Status:veröffentlicht
Stichwörter:Cybersecurity Rust Spoofing GNSS BDD ARINC653
Institution:Clausthal University of Technology, Germany
Abteilung:Institute for Informatics
HGF - Forschungsbereich:keine Zuordnung
HGF - Programm:keine Zuordnung
HGF - Programmthema:keine Zuordnung
DLR - Schwerpunkt:keine Zuordnung
DLR - Forschungsgebiet:keine Zuordnung
DLR - Teilgebiet (Projekt, Vorhaben):keine Zuordnung
Standort: Braunschweig
Institute & Einrichtungen:Institut für Flugsystemtechnik > Sichere Systeme und System Engineering
Institut für Flugsystemtechnik
Hinterlegt von: Zaeske, Wanja Marlo Moritz
Hinterlegt am:30 Jan 2025 16:08
Letzte Änderung:30 Jan 2025 16:08

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