Malware Propagation Software for Wireless Sensor Networks

Batista, Farrah Kristel; Rey, Ángel Martín del; Dios, Araceli Queiruga

doi:10.1007/978-3-319-61578-3_26

Cited by 1 publication

(1 citation statement)

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“…This type of attack can reduce network performance, decrease throughput, increase energy consumption, disrupt routing protocols, and so on [10]. Several techniques have been proposed to prevent or mitigate jamming attacks on WSNs, such as encryption schemes [10], intrusion detection systems [10,11], agent-based models [12,13], and evolutionary game theory [14,15]. Additionally, an interesting fact we have noticed is the lack of research on movable jammers, as also highlighted in several surveys on jammers [16,17].…”

Section: Introductionmentioning

confidence: 99%

Multi-Agent Modeling and Jamming-Aware Routing Protocols for Movable-Jammer-Affected WSNs

Zhang

2023

Sensors

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Wireless sensor networks (WSNs) are widely used in various fields, and the reliability and performance of WSNs are critical for their applications. However, WSNs are vulnerable to jamming attacks, and the impact of movable jammers on WSNs’ reliability and performance remains largely unexplored. This study aims to investigate the impact of movable jammers on WSNs and propose a comprehensive approach for modeling jammer-affected WSNs, comprising four parts. Firstly, agent-based modeling of sensor nodes, base stations, and jammers has been proposed. Secondly, a jamming-aware routing protocol (JRP) has been proposed to enable sensor nodes to weigh depth and jamming values when selecting relay nodes, thereby bypassing areas affected by jamming. The third and fourth parts involve simulation processes and parameter design for simulations. The simulation results show that the mobility of the jammer significantly affects WSNs’ reliability and performance, and JRP effectively bypasses jammed areas and maintains network connectivity. Furthermore, the number and deployment location of jammers has a significant impact on WSNs’ reliability and performance. These findings provide insights into the design of reliable and efficient WSNs under jamming attacks.

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Section: Introductionmentioning

confidence: 99%

Multi-Agent Modeling and Jamming-Aware Routing Protocols for Movable-Jammer-Affected WSNs

Zhang

2023

Sensors

View full text Add to dashboard Cite

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Malware Propagation Software for Wireless Sensor Networks

Cited by 1 publication

References 3 publications

Multi-Agent Modeling and Jamming-Aware Routing Protocols for Movable-Jammer-Affected WSNs

Multi-Agent Modeling and Jamming-Aware Routing Protocols for Movable-Jammer-Affected WSNs

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