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

Akram, Muhammad; Cho, Tae Ho

doi:10.1016/j.adhoc.2016.04.010

Cited by 19 publications

(44 citation statements)

References 23 publications

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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%

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

confidence: 99%

mentioning

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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“…However, FASIN fundamentally differs from PVFS in the selection of intermediate verification nodes. Initially, in the path discovery process, each cluster head acquires the IDs of the upstream CHs, their distances to the e-CH and its own distance to the BS, as well as information about the energy status of the CHs [7,11,29]. Initially the e-CH randomly chooses intermediate verification CHs on all c different routing paths available to the e-CH.…”

Section: Fasinmentioning

confidence: 99%

“…A simple cluster formation scheme is assumed; that is all nodes within one hop distance join to form a cluster, and the nodes that have the smallest IDs in the clusters are elected to be CHs [7]. For the sack of simplicity, it is assumed that sensor nodes cannot be compromised for a very small interval of time during which the formation of clusters, key distribution, and discovery of paths are performed [7,11]. We further assume that the network is exposed to only Symmetry 2017, 9, 220 7 of 25 FRIA and FVIA [7,11].…”

Section: System Model and Assumptionsmentioning

confidence: 99%

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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“…In a PVFS [4,6,7], a cluster consists of a cluster head (CH) and multiple member sensor nodes (SNs) within a hop using a cluster-based model. The BS produces a global key pool (n partitions × m keys) and assigns the keys of a partition to each cluster.…”

Section: Pvfsmentioning

confidence: 99%

Discrete Event Modeling and Simulation of Probabilistic Voting-based Filtering to Find Proper Security Parameters in Wireless Sensor Networks

Nam¹,

Cho²

2017

IJCA

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In wireless sensor networks (WSNs), sensor nodes are vulnerable to false vote and false report injection attacks since they are widely deployed without infrastructure. Although some en-route filtering schemes can effectively detect the two attacks, these schemes need to set up various security factors before deploying the sensors in a sensor field. In this paper, we use a simulation model and find the proper security factors for a security scheme in a real-world simulation environment. We demonstrate that the scheme achieves better energy savings and detection power when the number of required message authentication codes (MACs) in a report is five and the number of detected MACs is two.

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

Cited by 19 publications

References 23 publications

Discrete Event Modeling and Simulation of a Modified Dynamic en-Route Filtering to Improve the Energy Efficiency 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 Verification Node Selection-Based Path Determination in Wireless Sensor Networks

Discrete Event Modeling and Simulation of Probabilistic Voting-based Filtering to Find Proper Security Parameters in Wireless Sensor Networks

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