Deployment of Wireless Intrusion Detection Systems to Provide the Most Possible Coverage in Wireless Sensor Networks Without Infrastructures

Keramatpour, Ali; Nikanjam, Amin; Ghaffarian, Hossein

doi:10.1007/s11277-017-4363-4

Cited by 13 publications

(4 citation statements)

References 6 publications

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“…So in order to address some of these challenges, the wireless IDS should be distributed and collaborative in nature and this is proven in the work by Mohammadi et al [63], Khan et al [64], and Keramatpour et al [65] follow this idea. Whereas, Kachirski et al [66] and Daniel et al [67] employ the alternative way variation of the distributed and collaborative architectures.…”

Section: Mobil Ad Hoc Networkmentioning

confidence: 99%

Intrusion Detection Systems in Internet of Things and Mobile Ad-Hoc Networks

Ponnusamy¹,

Humayun²,

Jhanjhi³

et al. 2022

Computer Systems Science and Engineering

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Internet of Things (IoT) devices work mainly in wireless mediums; requiring different Intrusion Detection System (IDS) kind of solutions to leverage 802.11 header information for intrusion detection. Wireless-specific traffic features with high information gain are primarily found in data link layers rather than application layers in wired networks. This survey investigates some of the complexities and challenges in deploying wireless IDS in terms of data collection methods, IDS techniques, IDS placement strategies, and traffic data analysis techniques. This paper's main finding highlights the lack of available network traces for training modern machine-learning models against IoT specific intrusions. Specifically, the Knowledge Discovery in Databases (KDD) Cup dataset is reviewed to highlight the design challenges of wireless intrusion detection based on current data attributes and proposed several guidelines to future-proof following traffic capture methods in the wireless network (WN). The paper starts with a review of various intrusion detection techniques, data collection methods and placement methods. The main goal of this paper is to study the design challenges of deploying intrusion detection system in a wireless environment. Intrusion detection system deployment in a wireless environment is not as straightforward as in the wired network environment due to the architectural complexities. So this paper reviews the traditional wired intrusion detection deployment methods and discusses how these techniques could be adopted into the wireless environment and also highlights the design challenges in the wireless environment. The main wireless environments to look into would be Wireless Sensor Networks (WSN), Mobile Ad Hoc Networks (MANET) and IoT as this are the future trends and a lot of attacks have been targeted into these networks. So it is very crucial to design an IDS specifically to target on the wireless networks.

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Section: Mobil Ad Hoc Networkmentioning

confidence: 99%

Intrusion Detection Systems in Internet of Things and Mobile Ad-Hoc Networks

Ponnusamy¹,

Humayun²,

Jhanjhi³

et al. 2022

Computer Systems Science and Engineering

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“…To solve the wireless network coverage problem, the current research is mainly divided into two categories: distributed deployment algorithms and swarm intelligence algorithms and. In distributed deployment algorithms, nodes can decide whether they are dormant or working based on local information, reasonably regulate the network state, and improve the efficiency of node energy usage [7]. Therefore, the distributed approach is generally chosen to solve the problem of high network redundancy coverage [8].…”

Section: Introductionmentioning

confidence: 99%

“…Peilin Dou and Guohua Zheng. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13] …”

mentioning

confidence: 99%

Títul Research on Wireless Network Coverage for Transformation and Upgrading of Exhibition Management with Artificial Intelligence Technology

Dou

Zheng²

2023

Applied Mathematics and Nonlinear Sciences

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The rapid development of artificial intelligence and modern communication technology provides a powerful opportunity to realize the transformation, upgrading and high-quality development of exhibition management. To solve the optimal coverage problem of wireless network in the exhibition area, a new generation of artificial intelligence algorithm is introduced to propose a novel method for solving the network coverage problem based on Harris Hawk optimization (HHO) algorithm. From the perspective of maximizing coverage and minimizing coverage redundancy, the multi-objective coverage optimization problem of wireless network nodes is optimally extracted into a function and solved using the improved HHO (IHHO) algorithm. Through the simulation of the wireless network coverage in the exhibition area, the experimental results show that the comprehensive evaluation index score of the optimization algorithm reaches 98.03%, which is higher than the traditional particle swarm optimizer (PSO) and the standard HHO. The proposed IHHO algorithm can be effectively applied to the network coverage problem and has a greater advantage over the traditional optimization methods in terms of improving node coverage, and has great practicality.

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“…The result of this development was the emergency of Wireless Sensor Networks (WSNs). WSNs are capable of implementing many of the essential needs for humans, as they have the potential of being used in different applications [4].…”

Section: Introductionmentioning

confidence: 99%

Efficient Approach for Monitoring and Controlling Water Parameters Utilizing Integrated Treatment Based on WSNs

Srour¹,

Haggag²,

El‐Bendary³

et al. 2019

WSN

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Research works of Wireless Sensor Networks (WSNs) applications and its constraints solutions occupy wide area around the world and attract many researchers. In this paper, an important one of environmental WSN applications is presented that is the water monitoring applications. An efficient approach for monitoring and controlling water parameters in real-time is implemented utilizing merging between WSN and designed simple workstation. For implementation simplicity, two water parameters (pH and temperature) are monitored and controlled in the proposed approach. Most of past work of water monitoring presented different proposed monitoring scenarios for different water parameters only. This research work utilizes the concept of interactive WSN nodes. The interactive nodes interact with the monitored water parameters to control its value. In the base station, the collected data is analyzed and the real-time value of the monitored parameters appears on the designed Graphic User Interface (GUI). The GUI is designed using the Matlab program. Through the GUI, the operator can switch the control between automatic and manual. ZigBee module is used for implementing the wireless communications between the nodes and the workstation. Due to the cost and simplicity, two sensors only are used in the proposed approach. Different real-time experiments are performed to test and measure the effectiveness and performance of the presented approach. These experiments reveal that the presented approach is effective for water treatment and efficient more than the past proposed water monitoring scenarios.

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Deployment of Wireless Intrusion Detection Systems to Provide the Most Possible Coverage in Wireless Sensor Networks Without Infrastructures

Cited by 13 publications

References 6 publications

Intrusion Detection Systems in Internet of Things and Mobile Ad-Hoc Networks

Intrusion Detection Systems in Internet of Things and Mobile Ad-Hoc Networks

Títul Research on Wireless Network Coverage for Transformation and Upgrading of Exhibition Management with Artificial Intelligence Technology

Efficient Approach for Monitoring and Controlling Water Parameters Utilizing Integrated Treatment Based on WSNs

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