A Modeling Framework for Assessing Cyber Disruptions and Attacks to the National Airspace System

Roy, Sandip; Hahn, Adam; Xue, Mengran; Tamini, Ali; Vosughi, Amirkhosro; Das, Sajal K.; Warnick, Sean

doi:10.2514/6.2018-0109

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…Building on these studies, a series of recent works have begun to assess the propagative impacts of traffic flow restrictions -whether due to cyber events, weather, or other causes (e.g. space vehicle operations) [16,18,19].…”

Section: Related Workmentioning

confidence: 99%

Cyber Threat Impact Analysis to Air Traffic Flows Through Dynamic Queue Networks

Tamimi

Hahn

Roy

2020

ACM Trans. Cyber-Phys. Syst.

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Air traffic control increasingly depends on information and communication technology (ICT) to manage traffic flow through highly congested and increasingly interdependent airspace regions. While these systems are critical to ensuring the efficiency and safety of our airspace, they are also increasingly vulnerable to cyber threats that could potentially lead to reduction in capacity and/or reorganization of traffic flows. In this paper, we model various cyber threats to air traffic control systems, and analyze how these attacks could impact the flow of aircraft through the airspace. To perform this analysis, we consider a model for wide-area air traffic based on a dynamic queuing network model. Then we introduce three different attacks (Route Denial of Service, Route Selection Tampering, and Sector Denial of Service) to the air traffic control system, and explore how these attacks manipulate the sector flows by evaluating the queue backlogs for each sector's outflows. Furthermore, we then explore graph-level vulnerability metrics to identify the sectors that are most vulnerable to various flow manipulations, and compare them to case-study simulations of the various attacks. The results suggest that Route Denial of Service attacks have a significant impact on the target sector and lead to the largest degradation to the overall air traffic flows. Furthermore, the impact of Sector Denial of Service attack impacts are primarily confined to the target sector, while the Route Selection Tampering impacts are mostly confined to certain aircraft.

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Section: Related Workmentioning

confidence: 99%

Cyber Threat Impact Analysis to Air Traffic Flows Through Dynamic Queue Networks

Tamimi

Hahn

Roy

2020

ACM Trans. Cyber-Phys. Syst.

Self Cite

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“…In [20], a probabilistic model based on the susceptible-infected-susceptible (SIS) paradigm and on the theory of closed queuing networks is proposed to analyze the spread of malicious software in ad hoc networks. Queuing theory enhanced with stochastic analysis is employed to overview the dynamics of epidemic cases in [21] and to assess cyber disruptions and attacks to the national airspace system [22].…”

Section: Introductionmentioning

confidence: 99%

Analyzing Malware Propagation on Wireless Sensor Networks: A New Approach Using Queueing Theory and HJ-Biplot with a SIRS Model

Frutos-Bernal,

Rodríguez-Rosa,

Anciones-Polo

et al. 2023

Mathematics

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Most research on malware focuses mainly on its detection, without paying attention to its propagation trends. However, modeling the spread of malware is an important research problem because it allows us to predict how malware will evolve and to take steps to prevent its propagation, hence the interest in analyzing this spread from a statistical point of view. This work proposes a malware propagation prediction methodology based on multivariate statistical techniques such as HJ-Biplot in combination with closed queuing networks. Datasets generated using individual-based SIRS models are used to validate the proposed methodology, although any other model could have been chosen to test its validity. Experimental results show that the proposed model can effectively predict and classify malware and discover the influence of different model parameters on the malware propagation situation.

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Trust of Airspace Configuration Transition Concerning the Fluctuation of Air Traffic

Zhang

Liu

et al. 2021

2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC)

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A Modeling Framework for Assessing Cyber Disruptions and Attacks to the National Airspace System

Cited by 5 publications

References 9 publications

Cyber Threat Impact Analysis to Air Traffic Flows Through Dynamic Queue Networks

Cyber Threat Impact Analysis to Air Traffic Flows Through Dynamic Queue Networks

Analyzing Malware Propagation on Wireless Sensor Networks: A New Approach Using Queueing Theory and HJ-Biplot with a SIRS Model

Trust of Airspace Configuration Transition Concerning the Fluctuation of Air Traffic

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