Scenario-based defense mechanism against vulnerabilities in Lagrange-based DMPC

Maestre, José María Maestre; Velarde, Pablo; Ishii, Hideaki; Negenborn, Rudy R.

doi:10.1016/j.conengprac.2021.104879

Cited by 13 publications

(5 citation statements)

References 48 publications

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“…As countermeasures, the navigation system should be fed by data coming from navigation different sensors such as cameras, RADAR and LiDAR and combine them with data fusion algorithms. To conclude, the recommendation is that, in addition to the data fusion techniques, proper tools need to be studied and deployed in order to early detect the hijack of both sensors and data, for example as proposed in (Kougiatsos et al, 2022;Maestre et al, 2021).…”

Section: Exploitation Phasementioning

confidence: 99%

Collision-avoidance Capabilities Reduction After a Cyber-Attack to the Navigation Sensors

Longo¹,

Martelli²,

Russo³

et al. 2022

Preprint

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The interest in autonomous navigation for surface ships has arisen over the years for both naval vessels and commercial ships. In literature, several pieces of research addressed the challenges of developing new guidance laws, stable and robust control algorithms, methodologies to increase situational awareness, and collision avoidance algorithms. Current papers base their outcome on blind trust in the information coming from navigation sensors. However, sensors can be subjected to malfunctioning, or even worse, cyber-attackers may hijack their data. This last scenario will be more and more common in the near future and represents a dangerous threat that future generation ships must face. In this work, a grey-box approach has been used to predict the outcomes of a stateof-the-art collision avoidance algorithm. Based on that, the attack consists of injecting fictitious targets as the input of the collision avoidance to force the ship to follow a predetermined and malicious track. A set of dedicated simulations using a ship simulator is carried out, and the effects of such a cyber-attack on the automatic collision avoidance system are shown. Based on the obtained results, at the end of the paper, effects on the evasive route generations are analysed and deeply discussed.

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Section: Exploitation Phasementioning

confidence: 99%

Collision-avoidance Capabilities Reduction After a Cyber-Attack to the Navigation Sensors

Longo¹,

Martelli²,

Russo³

et al. 2022

Preprint

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“…In power information networks, their vulnerability studies are usually derived from critical nodes or critical links [3][4]. In power communication networks, the existence of many associations between nodes has led to the concept of network node degree as a measure of association that can provide a ICEPG-2022 Journal of Physics: Conference Series 2401 (2022) 012042 more feasible security strategy for system operation.…”

Section: Access To Power Information Network Indicatorsmentioning

confidence: 99%

Vulnerability Detection System for Power Information Based on Network Traffic Identification Technology

Luo

Xie

Guo

et al. 2022

J. Phys.: Conf. Ser.

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A power information vulnerability detection system has the problem of a low network survival rate. Therefore, a power information vulnerability detection system based on network traffic identification technology is designed. In the hardware part, the memory is configured as a synchronous interface and 4 DRAMs, and the level input and output power of the chip are kept in a state compatible with LVTTL levels; in the software part, the power information network indicators are obtained, the importance of network elements is reflected through a mesoscope, the failure characteristics of components are extracted using network traffic identification technology, a critical area is delineated, and the port protocols and association libraries of the passages are matched to optimize the system vulnerability detection function. Through analysis of the simulation results, it can be obtained that the network survival rate of the power information vulnerability detection system in this paper is 17.657% and 17.931% higher than that obtained by the other two power information vulnerability detection systems, respectively, indicating that the designed power information vulnerability detection system is more effective when fully integrated with network traffic identification techniques.

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“…In an attack-prone multiagent system, model predictive control has been studied to address the situation where agents solve certain optimization problems with constraints by considering the future times characterized by the length of the horizons. A defense mechanism for agents working together under distributed model predictive control is studied in [6]. The rolling horizon concept, which is a key component of model predictive control, is considered in [7] in a noncooperative security game related to replay attacks.…”

Section: Introductionmentioning

confidence: 99%

Cluster Forming of Multiagent Systems in Rolling Horizon Games with Non-uniform Horizons

Nugraha¹,

Cetinkaya²,

Hayakawa³

et al. 2023

Preprint

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Consensus and cluster forming of multiagent systems in the face of jamming attacks along with reactive recovery actions by a defender are discussed. The attacker is capable to disable some of the edges of the network with the objective to divide the agents into a smaller size of clusters while, in response, the defender recovers some of the edges by increasing the transmission power. We consider repeated games where the resulting optimal strategies for the two players are derived in a rolling horizon fashion. The attacker and the defender possess different computational abilities to calculate their strategies. This aspect is represented by the non-uniform values of the horizon lengths and the game periods. Theoretical and simulation based results demonstrate the effects of the horizon lengths and the game periods on the agents' states.

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Scenario-based defense mechanism against vulnerabilities in Lagrange-based DMPC

Cited by 13 publications

References 48 publications

Collision-avoidance Capabilities Reduction After a Cyber-Attack to the Navigation Sensors

Collision-avoidance Capabilities Reduction After a Cyber-Attack to the Navigation Sensors

Vulnerability Detection System for Power Information Based on Network Traffic Identification Technology

Cluster Forming of Multiagent Systems in Rolling Horizon Games with Non-uniform Horizons

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