A fuzzy rule-based path configuration method for LEAP in sensor networks

Nam, Su Man

doi:10.1016/j.adhoc.2015.03.005

Cited by 15 publications

(21 citation statements)

References 47 publications

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“…Each report is 36 bytes and each MAC is 4 bytes in size. It takes a verification node 75 µJ of energy to verify a report [48,57]. As illustrated in Figure 3, our suggested method's capability to detect false votes early during the process of verification is better than that of the PVFS.…”

Section: Simulation Resultsmentioning

confidence: 98%

“…Use of fuzzy logic is appropriate for achieving near optimization in data routing in cluster-based WSNs. Fuzzy logic is the ultimate choice for the optimization of filtering node and data-forwarding route selection due to the simplicity of the fuzzy membership functions [11,48].…”

Section: Related Workmentioning

confidence: 99%

“…The topology creates the routes using Dijkstra's shortest path algorithm [45,46] for the cluster based model [7,12,[47][48][49]. The selection of a minimum cost multi-constrained path is NP-complete [23].…”

Section: Fuzzy Adaptive Selection Of Data Forwarding Routesmentioning

confidence: 99%

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Energy Efficient Fuzzy Adaptive Verification Node Selection-Based Path Determination in Wireless Sensor Networks

Akram

Cho

2017

Symmetry

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Abstract:Wireless sensor networks are supplied with limited energy resources and are usually installed in unattended and unfriendly environments. These networks are also highly exposed to security attacks aimed at draining the energy of the network to render it unresponsive. Adversaries launch counterfeit report injection attacks and false vote injection attacks through compromised sensor nodes. Several filtering solutions have been suggested for detecting and filtering false reports during the multi-hop forwarding process. However, almost all such schemes presuppose a conventional underlying protocol for data routing that do not consider the attack status or energy dissipation on the route. Each design provides approximately the equivalent resilience in terms of protection against compromised node. However, the energy consumption characteristics of each design differ. We propose a fuzzy adaptive path selection to save energy and avoid the emergence of favored paths. Fresh authentication keys are generated periodically, and these are shared with the filtering nodes to restrict compromised intermediate filtering nodes from the verification process. The scheme helps delay the emergence of hotspot problems near the base station and exhibits improved energy conserving behavior in wireless sensor networks. The proposed scheme provides an extended network lifetime and better false data filtering capacity.

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Section: Simulation Resultsmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

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Energy Efficient Fuzzy Adaptive Verification Node Selection-Based Path Determination in Wireless Sensor Networks

Akram

Cho

2017

Symmetry

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Section: …………………………………………………………………………………………………… Introduction:-mentioning

confidence: 99%

“…Therefore, the node is easily exposed to various attacks, such as environmental damage, as well as physical capture or false report injection attacks and selective forwarding attacks from malicious attackers. Hence, security research that considers the limited resources of these nodes is needed and has been investigated recently [6][7][8].In a WSN, an attacker can attempt to cause false alarms at the BS by injecting false event data and depleting the limited energy resources of the nodes by forcing them to forward false reports. Therefore, it is very important to detect a false report injection attack as early as possible.…”

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confidence: 99%

Discrete Event Modeling and Simulation of a Modified Dynamic en-Route Filtering to Improve the Energy Efficiency in Wireless Sensor Networks.

Park¹,

Cho²

2016

IJAR

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Because wireless sensor networks are exposed to various attacks, security protocols are essential. Among the representative attacks and countermeasures, there are a false report injection attacks and a dynamic en-route filtering scheme. Dynamic en-route filtering scheme effectively defends using message authentication code, but there is room for improvement in terms of energy. So, we use a key redistribution algorithm of dynamic en-route filtering to improve energy efficiency. In this paper, we propose a discrete event modeling and simulation of modified dynamic en-route filtering. More accurate measurement is possible through the same system designed as the actual wireless sensor network. The experimental results demonstrate the validity of our scheme, showing an energy efficiency of up to 42.45% and a filtering capacity of up to 18.71% compared to the existing scheme. …………………………………………………………………………………………………….... Introduction:-Wireless sensor networks (WSNs) have been used in various applications that require real-time monitoring [1][2][3]. WSNs consist of numerous small sensor nodes for detecting an event, as well as a base station (BS) that is used to collect detected event data and send it to a user. Typically, large-scale WSNs are comprised of thousands of sensor nodes. Additionally, several cluster heads (CHs) in a sensor field are divided into cluster units [4]. A CH receives data about an event from member nodes belonging to its own cluster. The event data are then converted into a report and forwarded to the next node.The sensor node of a low-cost product has resource constraints, such as limited processing power, memory capacity, and energy, and it also communicates wirelessly in an open environment [5]. Therefore, the node is easily exposed to various attacks, such as environmental damage, as well as physical capture or false report injection attacks and selective forwarding attacks from malicious attackers. Hence, security research that considers the limited resources of these nodes is needed and has been investigated recently [6][7][8].In a WSN, an attacker can attempt to cause false alarms at the BS by injecting false event data and depleting the limited energy resources of the nodes by forcing them to forward false reports. Therefore, it is very important to detect a false report injection attack as early as possible. To detect such attacks, a dynamic en-route filtering (DEF) scheme was proposed by Yu and Guan [9]. This scheme can detect a false report in the transfer process using the authentication key and secret keys. In DEF, however, when a network is exposed to a continuous attack from adversaries, unnecessary energy loss occurs. DEF has no suitable measures to address this problem because this method does not consider the current attack situation.

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Energy efficient fuzzy adaptive selection of verification nodes in wireless sensor networks

Akram

Cho

2016

Ad Hoc Networks

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A fuzzy rule-based path configuration method for LEAP in sensor networks

Cited by 15 publications

References 47 publications

Energy Efficient Fuzzy Adaptive Verification Node Selection-Based Path Determination in Wireless Sensor Networks

Energy Efficient Fuzzy Adaptive Verification Node Selection-Based Path Determination in Wireless Sensor Networks

Discrete Event Modeling and Simulation of a Modified Dynamic en-Route Filtering to Improve the Energy Efficiency in Wireless Sensor Networks.

Energy efficient fuzzy adaptive selection of verification nodes in wireless sensor networks

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