Analyzing the Vulnerability of Wireless Sensor Networks to a Malicious Matched Protocol Attack

O'Mahony, George D.; Harris, Philip J.; Murphy, Colin C.

doi:10.1109/ccst.2018.8585681

Cited by 10 publications

(2 citation statements)

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“…Data conglomeration in remote sensor systems is essential because of its upgrade of transmission capacity use and vitality usage by limiting the exchange of excess information [19]. This paper displays a safe information accumulation convention, called SRDA, for remote sensor systems.…”

Section: Discussionmentioning

confidence: 99%

A Survey On Security In Wireless Sensor Network

et al. 2019

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With the global use of wireless sensor network technology in different fields and for different purposes such as health care monitoring, earth sensing, air pollution monitoring, military operations monitoring or surveillance system monitoring, a problem arises. Problem that could negatively impact previously started activities and observations if not handled in a right way. Authors of this paper discuss various vulnerabilities and security threads in different applications of WSN in the real world, such as intrusion, node capture attack, black hole attack or selective forwarding attack. Potential countermeasures are proposed formatted as protocols or architectures for secure transfer of data between friendly nodes, compromises on security measures with the goal of achieving secure and reliable connection. This paper could be used as a general representation of WSN security issue with which WSN engineers are faced on a daily basis.

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Section: Discussionmentioning

confidence: 99%

A Survey On Security In Wireless Sensor Network

et al. 2019

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“…The attacker can carry out a variety of malicious assaults by starting with these kinds of attacks [41]. Specific attacks that seek to affect the core functions of the network target some crucial WSN protocols, including routing, aggregation, and time synchronization [42].…”

Section: Impersonation Attacksmentioning

confidence: 99%

A Comprehensive Analysis of Security Challenges and Countermeasures in Wireless Sensor Networks Enhanced by Machine Learning and Deep Learning Technologies

Saleh,

Marouane,

Fakhfakh

2024

IJSSE

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Wireless sensor networks (WSNs) play a crucial role in monitoring and capturing information in various domains, including the Internet of Medical Things (IOMT). However, WSNs face significant security challenges, such as intrusion and potential malicious activities, due to their distributed and resource-constrained nature. This research provides a comprehensive analysis of the security challenges in WSNs enhanced by machine learning and deep learning technologies within the context of the IOMT. The research addresses these challenges by proposing practical countermeasures to mitigate security concerns in WSNs. It discusses the complexities, critical security issues, and vulnerabilities within WSNs, offering insights into potential fixes based on various approaches and theories. Furthermore, the integration of machine learning and deep learning in WSNs enables efficient communication, data analysis, and control, supporting areas like the IOMT, which includes monitoring prescription orders, tracking patients' movements, and remotely managing patients with chronic illnesses. By addressing the security challenges specific to WSNs in the IOMT environment, this research contributes to the advancement of secure and reliable wireless sensing systems in critical domains. The utilization of machine learning and deep learning technologies facilitates the development of robust methods for detecting and mitigating network attacks. The practical implications of the research findings are demonstrated through tangible examples within the IOMT context, emphasizing the potential impact on improving the security and reliability of wireless sensing systems.

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