Analysis of Denial of Service Impact on Data Routing in Mobile eHealth Wireless Mesh Network

Alanazi, Shaker; Saleem, Kashif; Al‐Muhtadi, Jalal; Derhab, Abdelouahid

doi:10.1155/2016/4853924

Cited by 8 publications

(3 citation statements)

References 27 publications

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“…In the worst-case scenario, sick or injured people will be unable to receive the necessary care, which can lead to fatalities. In [ 169 ], the impacts of denial of service on the routing of data in mobile eHealth networks were examined. Different solutions to the problem of denial of service are often accompanied by additional constraints related to the use of cryptography, such as the difficulty in authenticating routing packets.…”

Section: Ehealth: Security and Privacy Concernsmentioning

confidence: 99%

eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions

Alenoghena

Onumanyi

Ohize

et al. 2022

IJERPH

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The ramifications of the COVID-19 pandemic have contributed in part to a recent upsurge in the study and development of eHealth systems. Although it is almost impossible to cover all aspects of eHealth in a single discussion, three critical areas have gained traction. These include the need for acceptable eHealth architectures, the development of mobile health (mHealth) technologies, and the need to address eHealth system security concerns. Existing survey articles lack a synthesis of the most recent advancements in the development of architectures, mHealth solutions, and innovative security measures, which are essential components of effective eHealth systems. Consequently, the present article aims at providing an encompassing survey of these three aspects towards the development of successful and efficient eHealth systems. Firstly, we discuss the most recent innovations in eHealth architectures, such as blockchain-, Internet of Things (IoT)-, and cloud-based architectures, focusing on their respective benefits and drawbacks while also providing an overview of how they might be implemented and used. Concerning mHealth and security, we focus on key developments in both areas while discussing other critical topics of importance for eHealth systems. We close with a discussion of the important research challenges and potential future directions as they pertain to architecture, mHealth, and security concerns. This survey gives a comprehensive overview, including the merits and limitations of several possible technologies for the development of eHealth systems. This endeavor offers researchers and developers with a quick snapshot of the information necessary during the design and decision-making phases of the eHealth system development life cycle. Furthermore, we conclude that building a unified architecture for eHealth systems would require combining several existing designs. It also points out that there are still a number of problems to be solved, so more research and investment are needed to develop and deploy functional eHealth systems.

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Section: Ehealth: Security and Privacy Concernsmentioning

confidence: 99%

eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions

Alenoghena

Onumanyi

Ohize

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…It inherits the protocol of the corresponding networks for communication, which makes the network vulnerable to various routing-based attacks. The attackers frequently use attacks, such as black hole and worm hole, to damage the network [11]. IDS is a widely used tool that detects the attacks by analyzing the WMN traffic.…”

Section: Ids For Wmnmentioning

confidence: 99%

A Novel Feature Selection Method Using Whale Optimization Algorithm and Genetic Operators for Intrusion Detection System in Wireless Mesh Network

Vijayanand¹,

Devaraj

2020

IEEE Access

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Machine learning-based intrusion detection system (IDS) is an important requirement for securing data traffic in wireless mesh networks. The noisy and redundant features of network data tend to degrade the performance of the attack detection classifiers. Therefore, the selection of informative features plays a vital role in the enhancement to the IDS. In this paper, we propose a wrapper-based approach using the modified whale optimization algorithm (WOA). One drawback of WOA is that premature convergence results in a local optimal solution. To overcome this limitation, we proposed a method in which the genetic algorithm operators were combined with the WOA. The crossover operator was used to further improve the search space of whales, and the mutation operator helped to avoid being stuck in the local optimum. The proposed method selects the informative features in the network data, which helps to accurately detect intrusions. Using a support vector machine (SVM), we identified the types of intrusions based on the selected features. The performance of the improved method was analyzed by using the CICIDS2017 and ADFA-LD standard datasets. Our proposed method had better attack detection rate than the standard WOA and other evolutionary algorithms; it also had good accuracy and was suitable for IDS in the wireless mesh networks. The performance of the IDS was increased by selecting the informative features with the improved whale optimization algorithm. The attack detection ratio was higher than that of the standard WOA.INDEX TERMS Crossover and mutation operator, IDS for WMN, improved whale optimization algorithm, WOA-based feature selection method, WOA + genetic operators.

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“…The frequency of link breakage is higher in the case of wireless mesh networks when there is a high mobility which results in low performance in communication of information [3,4].…”

Section: Wireless Mesh Network 21 Architecturementioning

confidence: 99%

An Overview of Wireless Mesh Networks

Parvin¹

2020

Wireless Mesh Networks - Security, Architectures and Protocols

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Wireless mesh networks (WMNs) are communication networks which comprise radio nodes in which nodes are arranged in a mesh topology. Mesh topology is an interconnection of all nodes connected with all other nodes in the network. The network includes devices like nodes, clients, routers, gateways, etc. As the nodes are fully connected, mesh networks are usually less mobile as rerouting is less difficult in predicting the reroute results in delay in data transmission. Mesh clients can be of any wireless devices like cell phones, laptops, etc. The gateways which act as forwarding nodes may not be connected with the Internet. As different devices come under a single network, it is also referred as mesh cloud. WMN is self-healable. It works better with various different networks which include cellular networks and IEEE 802.11, 802.15, and 802.16 as well. WMN is flexible to work with more than one protocol. This chapter gives architecture, layer functionalities, and applications.

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Analysis of Denial of Service Impact on Data Routing in Mobile eHealth Wireless Mesh Network

Cited by 8 publications

References 27 publications

eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions

eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions

A Novel Feature Selection Method Using Whale Optimization Algorithm and Genetic Operators for Intrusion Detection System in Wireless Mesh Network

An Overview of Wireless Mesh Networks

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