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Towards Architectural Pen Test Case Generation and Attack Surface Analysis to Support Secure Design

Jafari Sarvejahani, Mahdi 1
1 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)

Abstract:

In today’s interconnected world, software systems
have become indispensable components of complex frameworks,
such as cyber-physical systems, e-commerce platforms, and
healthcare information systems. This widespread integration
highlights the importance of security more than ever, as these
systems often function in critical environments where vulnerabilities
can lead to significant destructive consequences. Penetration
testing is a key method for identifying vulnerabilities
but is often conducted after deployment, making remediation
costly and time-consuming. On the other hand, back to the
early phases of the Software Development Life Cycle (SDLC),
software architects often lack the security expertise and feedback
mechanisms needed to make informed design decisions, leading
to vulnerabilities that remain undetected until later stages. In this
paper, to address these challenges, we propose a research plan
to integrate security considerations into the design phase. Our
approach involves generating architecture-based penetration test
cases, evaluating the attack surface of alternative architectures
by using the generated test cases, and supporting software
... mehr

Zugehörige Institution(en) am KIT Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Publikationstyp Forschungsbericht/Preprint
Publikationsdatum 20.01.2025
Sprache Englisch
Identifikator KITopen-ID: 1000178592
HGF-Programm 46.23.03 (POF IV, LK 01) Engineering Security for Mobility Systems
Weitere HGF-Programme 46.23.01 (POF IV, LK 01) Methods for Engineering Secure Systems
Verlag Karlsruher Institut für Technologie (KIT)
Umfang 6 S.
Schlagwörter security by design, penetration testing, attack, surface analysis, architectural decision support, autonomous, vehicle systems

Volltext §
DOI: 10.5445/IR/1000178592
Veröffentlicht am 31.01.2025
Seitenaufrufe: 56
seit 31.01.2025
Downloads: 32
seit 31.01.2025
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