Critical infrastructure protection system design based on SCOUT multitech seCurity system for intercOnnected space control groUnd staTions

Cantelli-Forti, Alessandro; Capria, A.; Saverino, Anna Lisa; Berizzi, F.; Adami, Davide; Callegari, Christian

doi:10.1016/j.ijcip.2020.100407

“…The driving force of this work is the potential for an attacker to inoculate an APT within a naval radar system. While previous research of Longo et al, Kessler and Shepard [3], [4] has already explored this possibility, and Cherminod, Cantelli-Forti et al [5], [6] proposed solutions to industrial networking attacks via Software Defined Networks, our study takes a step further. We demonstrate that a compromised radar system can exploit GANs to produce deceptive ISAR images inside the processing unit, a threat not yet considered.…”

Section: Related Workmentioning

confidence: 89%

“…In the case of Supply Chain compromission, this flexible reconfigurable computing capability of FPGAs makes them a prime target for APTs seeking to manipulate radar systems. In fact, the presence of an FPGA shifts the "cyber perimeter", eliminating the possibility of malicious code installation but also preventing the implementation of Host System and Network Security probes [3] so making the attack difficult to mitigate [6].…”

Section: B Apt Hide and Seek: Unusual Residences For Advanced Persist...mentioning

confidence: 99%

Naval Cybersecurity in the Age of AI: deceptive ISAR Images Generation with GANs

Meucci,

Karahoda,

Oveis

et al. 2023

Preprint

0

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<p>Navigational systems, the heart of maritime oper- ations, face escalating cybersecurity risks due to their system of systems nature and reliance on diverse suppliers. Amid concerns about supply chain attacks and insider threats, the potential for malicious radar image injections, including Inverse Synthetic Aperture Radar (ISAR) images, is emerging. Such manipulations can critically undermine navigational integrity through the generation of decoy targets, the strategic relocation of existing ones, and the effective concealment of additional targets. We have identified where an Advanced Persistent Threat (APT) could be concealed within the processing chain of a modern radar system. This study demonstrates the potential of APTs to exploit Generative Adversarial Networks (GANs) for the creation of deceptive ISAR images, thereby spotlighting this previously unexplored threat vector. Our findings offer novel insights into bolstering maritime cybersecurity in an increasingly AI-dominated landscape. </p>

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“…The driving force of this work is the potential for an attacker to inoculate an APT within a naval radar system. While previous research of Longo et al, Kessler and Shepard [3], [4] has already explored this possibility, and Cherminod, Cantelli-Forti et al [5], [6] proposed solutions to industrial networking attacks via Software Defined Networks, our study takes a step further. We demonstrate that a compromised radar system can exploit GANs to produce deceptive ISAR images inside the processing unit, a threat not yet considered.…”

Section: Related Workmentioning

confidence: 92%

“…In the case of Supply Chain compromission, this flexible reconfigurable computing capability of FPGAs makes them a prime target for APTs seeking to manipulate radar systems. In fact, the presence of an FPGA shifts the "cyber perimeter", eliminating the possibility of malicious code installation but also preventing the implementation of Host System and Network Security probes [3] so making the attack difficult to mitigate [6].…”

Section: B Apt Hide and Seek: Unusual Residences For Advanced Persist...mentioning

confidence: 99%

Naval Cybersecurity in the Age of AI: deceptive ISAR Images Generation with GANs

Meucci,

Karahoda,

Oveis

et al. 2023

2023 IEEE 48th Conference on Local Computer Networks (LCN)

0

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Navigational systems, the heart of maritime operations, face escalating cybersecurity risks due to their system of systems nature and reliance on diverse suppliers. Amid concerns about supply chain attacks and insider threats, the potential for malicious radar image injections, including Inverse Synthetic Aperture Radar (ISAR) images, is emerging. Such manipulations can critically undermine navigational integrity through the generation of decoy targets, the strategic relocation of existing ones, and the effective concealment of additional targets. We have identified where an Advanced Persistent Threat (APT) could be concealed within the processing chain of a modern radar system. This study demonstrates the potential of APTs to exploit Generative Adversarial Networks (GANs) for the creation of deceptive ISAR images, thereby spotlighting this previously unexplored threat vector. Our findings offer novel insights into bolstering maritime cybersecurity in an increasingly AI-dominated landscape.

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Adaptive Cruise Control Based on Real-Time DDS Middleware

Almadani,

Alshammari,

Al-Roubaiey

2023

IEEE Access

2

0

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Critical infrastructure protection system design based on SCOUT multitech seCurity system for intercOnnected space control groUnd staTions

Cited by 3 publications

References 7 publications

Naval Cybersecurity in the Age of AI: deceptive ISAR Images Generation with GANs

Naval Cybersecurity in the Age of AI: deceptive ISAR Images Generation with GANs

Naval Cybersecurity in the Age of AI: deceptive ISAR Images Generation with GANs

Adaptive Cruise Control Based on Real-Time DDS Middleware

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