A Game-Theoretic and Experimental Analysis of Energy-Depleting Underwater Jamming Attacks

Signori, Alberto; Chiariotti, Federico; Campagnaro, Filippo; Zorzi, Michele

doi:10.1109/jiot.2020.2982613

Cited by 22 publications

(10 citation statements)

References 32 publications

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“…For most of the CFT consensus algorithms, more than half of the nodes need to survive to ensure a consensus [14], [15], [18]. However, due to inevitable natural damage, subsystem malfunction, limited lifespan, inadequate energy supplement and jammer attacks [22]- [24], the connected nodes are easy to crash. If more than half of the nodes are crashed, the consensus cannot be achieved.…”

Section: B Motivations and State Of The Artmentioning

confidence: 99%

RAFT Consensus Reliability in Wireless Networks: Probabilistic Analysis

Fan

Zhang

et al. 2023

IEEE Internet Things J.

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The centralized system becomes less efficient, secure, and resilient as the network size and heterogeneity increase due to its inherent single point of failure issues. Distributed consensus mechanisms characterized by decentralization, autonomy, parallelism and fault-tolerance can meet the increasing demands of safety and security in critical interconnected systems. This paper establishes a Node and Link probabilistic failure model in the presence of node and communication link failures for a representative crash fault tolerant distributed consensus protocol: RAFT. The analytical results in terms of the probability density function and the mean value of consensus reliability are derived. Two important reliability performance indicators, Reliability Gain and Tolerance Gain are proposed to indicate the linear relationship between the consensus reliability and two basic parameters, i.e. the joint failure rate and the maximum number of tolerant faulty nodes, which provide the theoretical guidance for quickly deploying a RAFT system. The special case of a distributed consensus network with already a certain number of failures and its adverse impact are evaluated. The Markov probabilistic models, definitions of Reliability Gain and Tolerance Gain, and the analysis methods proposed in this paper can be extended to other consensus mechanisms.

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Section: B Motivations and State Of The Artmentioning

confidence: 99%

RAFT Consensus Reliability in Wireless Networks: Probabilistic Analysis

Fan

Zhang

et al. 2023

IEEE Internet Things J.

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“…Recently, many studies have been conducted for the cooperative network using trusted relays to ameliorate the physical layer security [13]- [15]. There exist some efforts of designing the optimal strategy for anti-jamming communications [16]- [18]. The authors in [16] studied a dynamic channel allocation mechanism to deal with the spectrum conflicts and reduce the impacts of various jamming attacks.…”

Section: B Related Workmentioning

confidence: 99%

“…However, the wireless channels are simply modeled without considering the channel fading effect of wireless devices, leading to low feasibility of the proposed approaches. The spectrum assignment and routing scheme was developed to address jamming issues in a multi-hop scenario in [17], while the authors in [18] modeled the jamming attack using the game theory-based method to define the optimal strategies by assuming complete information of the adversary. Never-theless, these works, [16]- [18], did not consider the energy harvesting context.…”

Section: B Related Workmentioning

confidence: 99%

Anti-Jamming RIS Communications Using DQN-Based Algorithm

2022

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Wireless sensor networks (WSNs) are widely applied in battlefield surveillance, where the data collection (e.g. target tracking or contention zone observation) employed by local sensor nodes needs to send to military bases for tactical decisions. Since data transmissions are susceptible to malicious attacks, jammers of adversaries can successfully block their victim's communications by transmitting interfering signals to legitimate transmissions. Nowadays, owing to the ability to reconfigure the wireless propagation medium, reconfigurable intelligent surface (RIS) is regarded as an effective tool to enhance transmission performance, especially in the jamming context. This paper considers the anti-jamming communication tactical scenario of a solar-powered RIS network, in which the RIS is used to improve the uplink transmission performance between a wireless device (WD) and a base station (BS). We investigate the long-term anti-jamming communications of the WD powered by a solar energy harvester. Our objective is to jointly assign the optimal amount of transmission energy and the RIS phase shifts to maximize the data rate of the system in the long run. To this end, we formulate an anti-jamming communication optimization problem as a Markov decision process (MDP) framework and then design a deep Q network (DQN)-based algorithm to generate an optimal policy. As a result, the optimal resource allocation is achieved through trial-and-error interactions with environment by observing the predefined rewards and the network state transition. The Python simulation results conducted by averaging 10 4 time slots show that the proposed algorithm is not only able to learn from environment, but also yields better performance than baseline schemes under network changes. Moreover, the performance of RIS communication schemes is verified to be superior to that of without-RIS communication schemes in the jamming context.INDEX TERMS reconfigurable intelligent surface, deep reinforcement learning, markov decision process, solar-powered network, jamming attack, battlefield surveillance.

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“…In the study of Signori et al [5], we consider an environment where jamming attacks, lowering the quality of communication of battery-powered submerged nodes, are performed by a harmful node. To increase the probabilities of correct delivery of the packet, packet-level coding is used in the legitimate transmitter.…”

Section: Introductionmentioning

confidence: 99%

Jamming Attack Mitigation in CR-IoT Using Game Theory

Venkatachalam¹,

Kottursamy²

2022

RIA

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Jamming attack is Cognitive radio Internet of thing network disables the spectrum sharing and reduces the spectrum utilization .detection and mitigation of such attacks is the main component in realizing cognitive radio-based spectrum sharing in cognitive radio-based internet of thing network this work proposes a game theory-based jamming attack mitigation strategy. The problem of jamming attack mitigation is modeled as a zero-sum game and solved by finding Nash equilibrium. The cognitive node which tries to share the spectrum pays the zero-sum game with the jamming attacker and selects the best strategy of selecting the best frequency without getting into the jamming attack. The result of the proposed mechanism proves that the gaming mechanism can tackle the jamming attack.

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A Game-Theoretic and Experimental Analysis of Energy-Depleting Underwater Jamming Attacks

Cited by 22 publications

References 32 publications

RAFT Consensus Reliability in Wireless Networks: Probabilistic Analysis

RAFT Consensus Reliability in Wireless Networks: Probabilistic Analysis

Anti-Jamming RIS Communications Using DQN-Based Algorithm

Jamming Attack Mitigation in CR-IoT Using Game Theory

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