An attack-defense game based reliability analysis approach for wireless sensor networks

Jiang, Wen; Ma, Zeyu; Deng, Xinyang

doi:10.1177/1550147719841293

Cited by 9 publications

(2 citation statements)

References 66 publications

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“…Shen et al 20 considered a clustered WSN under epidemic-malware propagation conditions. Jiang et al 28 considered that WSNs can prevent from malware based on Stackelberg game. Acarali et al 29 applied the principles of epidemic modeling to IoT networks consisting of WSNs.…”

Section: Related Workmentioning

confidence: 99%

Modeling and analyzing malware diffusion in wireless sensor networks based on cellular automaton

Zhang

Shen

Cao

et al. 2020

International Journal of Distributed Sensor Networks

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Wireless sensor networks, as a multi-hop self-organized network system formed by wireless communication, are vulnerable to malware diffusion by breaking the data confidentiality and service availability, owing to their low configuration and weak defense mechanism. To reveal the rules of malware diffusion in the really deployed wireless sensor networks, we propose a model called Malware Diffusion Based on Cellular Automaton to describe the dynamics of malware diffusion based on cellular automaton. According to the model, we first analyze and obtain the differential equations, which can reflect the various state dynamics of sensor nodes with cellular automaton. Then, we attain the equilibrium points of the model Malware Diffusion Based on Cellular Automaton to determine the threshold for whether malware will diffuse or die out in wireless sensor networks. Furthermore, we compute the basic regeneration number of the model Malware Diffusion Based on Cellular Automaton using the next-generation matrix and prove the stability of the equilibrium points. Finally, via experimental simulation, we verify the effectiveness of the model Malware Diffusion Based on Cellular Automaton, which can provide administrators with the theoretical guidance on suppressing malware diffusion in wireless sensor networks.

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Section: Related Workmentioning

confidence: 99%

Modeling and analyzing malware diffusion in wireless sensor networks based on cellular automaton

Zhang

Shen

Cao

et al. 2020

International Journal of Distributed Sensor Networks

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“…Mobile Information Systems [38] developed an availability model to resolve the problem of the unavailability of a 5G WCN attacked by a denial of service (DoS) attack using a Bayesian game. Jiang et al [39] established an attack-defence game based on a Stackel-berg game to study the reliability of WSNs. Shen et al [40] set up a dependability assessment mechanism for HWSNs using a noncooperative non-zero-sum game.…”

mentioning

confidence: 99%

Steady-State Availability Evaluation for Heterogeneous Edge Computing-Enabled WSNs with Malware Infections

Zhang

Yang

et al. 2022

Mobile Information Systems

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To evaluate the steady-state availability of heterogeneous edge computing-enabled wireless sensor networks (HECWSNs) with malware infections, we first propose a Stackelberg attack-defence game to predict the optimal strategies of malware and intrusion detection systems (IDSs) deployed in heterogeneous sensor nodes (HSNs). Next, we present a new malware infection model—heterogeneous susceptible-threatened-active-recovered-dead (HSTARD) based on epidemic theory. Then, considering the heterogeneity of sink sensor nodes and common sensor nodes and the malware attack correlation, we derive the state transition probability matrix of an HSN based on a semi-Markov process (SMP), as well as the steady-state availability of an HSN. Furthermore, based on a data flow analysis of HSNs, we deduce the steady-state availability of HECWSNs with various topologies, including the star topology, cluster topology, and mesh topology. Finally, numerical analyses illustrate the influence of the IDS parameters on the optimal infection probability of malware and reveal the effect of multiple factors on the steady-state availability of HSNs, including the initial infection rate, the infection change rate, and the malware attack correlation. In addition, we present data analyses of the steady-state availability of HECWSNs with various topologies, including the star topology, cluster topology, and mesh topology, which provide a theoretical basis for the design, deployment, and maintenance of high-availability HECWSNs.

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Lifetime maximization of wireless sensor networks while ensuring intruder detection

Çorapsız

2024

Soft Comput

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Wireless sensor networks (WSN) have a wide variety of application areas and one of these areas is border crossing security. Unauthorized crossing of border areas, unauthorized arms and drug trafficking can be avoided at a lower cost and easier than conventional methods by monitoring the borders with the help of a WSN. In this study, we offer a mathematical model that guarantees the detection of possible intruders by scheduling the activities of the sensors whatever the route the intruder follows throughout the border zone or whatever the time the intruder enters to the route. To achieve the highest possible WSN management efficiency, we integrate coverage, routing, data routing, and sensor scheduling WSN design issues into the mathematical model. We first demonstrate the effectiveness of scheduling the sensors by the help of the offered mathematical model by comparing it against a random activity schedule of the sensors with respect to network lifetime and intruder detection ratio performance measures. We also develop a Lagrangean heuristic strategy to solve realistic sized instances of the proposed problem. We produce several random border zone instances with varying sizes and test the proposed solution strategy to illustrate the effectiveness of the offered solution strategy by comparing its performance against the performance of a commercial mixed-integer linear programming (MILP) solver.

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An attack-defense game based reliability analysis approach for wireless sensor networks

Cited by 9 publications

References 66 publications

Modeling and analyzing malware diffusion in wireless sensor networks based on cellular automaton

Modeling and analyzing malware diffusion in wireless sensor networks based on cellular automaton

Steady-State Availability Evaluation for Heterogeneous Edge Computing-Enabled WSNs with Malware Infections

Lifetime maximization of wireless sensor networks while ensuring intruder detection

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