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Thesis topic proposal
 
Zlatko Covic
Cyber-Physical Security of Critical Infrastructure through Wave Scattering Analysis

THESIS TOPIC PROPOSAL

Institute: Universitas Budensis
military engineering
Doctoral School on Safety and Security Sciences

Thesis supervisor: Zlatko Covic
Location of studies (in Hungarian): Budapest, Népszínház utca 8.
Abbreviation of location of studies: ÓEBGK


Description of the research topic:

In the pursuit of safeguarding critical infrastructure in an increasingly interconnected world, this thesis delves into the realm of cyber-physical security, employing an innovative approach—Wave Scattering Analysis. The study should be focused on the intricate interplay between cyber threats and the physical integrity of essential infrastructure, such as power grids, transportation systems, and communication networks.
Thesis should provide a novel and practical approach to addressing the cybersecurity challenges facing critical infrastructure. Its contributions extend beyond theoretical frameworks, offering tangible insights and tools that can be applied to enhance the security of vital systems in an interconnected world.
Develop numerical methods to model the interaction of elastic, acoustic, and electromagnetic waves in critical infrastructure systems. Investigate how cyber threats, such as electromagnetic interference or acoustic attacks, can exploit vulnerabilities in the physical layer of infrastructure.
Provide a concise overview of the escalating cyber threats to critical infrastructure. Emphasize the need for a comprehensive security framework that addresses both cyber and physical vulnerabilities.
Explore the existing landscape of cyber-physical security and its challenges. Discuss the significance of critical infrastructure and the potential consequences of security breaches.
Introduce the concept of Wave Scattering Analysis as a novel method for assessing security. Highlight its potential in uncovering vulnerabilities by analysing the patterns of cyber-physical interactions.
Detail the methodology employed in Wave Scattering Analysis. Discuss the integration of computational techniques, simulations, and real-world data to model and analyse security scenarios.
Present case studies illustrating the application of Wave Scattering Analysis in diverse critical infrastructure settings. Showcase how the approach identifies and mitigates cyber threats affecting physical systems. Through the incorporation of real-world case studies, demonstrate the practical application of Wave Scattering Analysis across diverse critical infrastructure settings. This provides actionable insights for security practitioners and policymakers.
Summarize the key findings from the application of Wave Scattering Analysis. Discuss the efficacy of the approach in enhancing the overall security posture of critical infrastructure.
Address any challenges encountered during the study. Propose potential enhancements, extensions, or new avenues for future research in the field.
Sum up the contributions of the thesis to the field of cyber-physical security. Emphasize the importance of integrating Wave Scattering Analysis into broader security strategies.

Aims:
This thesis aims to advance the understanding of cyber-physical security by introducing a novel analytical tool and providing actionable insights for securing critical infrastructure in an era of evolving threats. The aims could be listed as follows:
• Develop Analytical Framework
• Model Interactions
• Identify Vulnerabilities:
• Validate with Real-world Data
• Case Studies
• Evaluate Efficacy
• Address Challenges
• Future Directions
• Contribute to the advancement of knowledge in the domain of cyber-physical security.

Recommended language skills (in Hungarian): English C1
Number of students who can be accepted: 1

Deadline for application: 2024-08-31


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )