scholarly journals A SOLUTION TO SELECTIVE FORWARD ATTACK IN WIRELESS SENSOR NETWORK

2018 ◽  
Vol 6 (2) ◽  
pp. 25-30 ◽  
Author(s):  
Gulbir Singh ◽  
Om Prakash Dubey ◽  
Gautam Kumar
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Packet Loss ◽  
Network Performance ◽  
Mesh Network ◽  
Wireless Sensor ◽  
Sybil Attack ◽  
Trust Value ◽  
Selective Forwarding ◽  
The Many

Wireless mesh network represent a solution to provide wireless connectivity. There is some attacks on wireless sensor networks like black hole attack, sinkhole attack, Sybil attack, selective forwarding, etc. In this paper, we will concentrate on selective forwarding attack. Selective Forwarding Attack is one of the many security threats in wireless sensor networks which can degrade network performance. An adversary on the transmission path selectively drops the packet. The adversary same time transfers the packet, while in a few occasions it drops the packet. It is difficult to detect this type of attack since the packet loss may be due to unreliable wireless communication. The proposed scheme is based on the trust value of each node. During data transmission, a node selects a downstream node that has highest trust value, which is updated dynamically based on the number of packets a node has forwarded and dropped. We compared our scheme with the existing scheme and found that the packet loss in the proposed scheme is much less than the existing scheme.

scholarly journals Public Key-Based Authentication and En-Route Filtering Scheme in Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3829 ◽  
Author(s):  
Chuanjun Yi ◽  
Geng Yang ◽  
Hua Dai ◽  
Liang Liu ◽  
Ning Li
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Availability ◽  
Public Key ◽  
Wireless Sensor ◽  
Malicious Nodes ◽  
Trust Value ◽  
Injection Attacks ◽  
Selective Forwarding ◽  
The Impact

The existing public key-based en-route filtering schemes are vulnerable to report disruption attacks or selective forwarding attacks, and they fail to consider any measure to detect and punish the malicious nodes. The authors propose a series of public key-based security mechanisms for wireless sensor networks (WSNs) in this paper, including a mechanism for verifying the partial signatures, a substitution mechanism, an effective report forwarding protocol, and a trust value-based mechanism to identify and punish the malicious nodes. Finally, the authors develop a public key-based authentication and en-route filtering scheme (PKAEF), which can resist false data injection attacks, report disruption attacks and selective forwarding attacks, and can mitigate the impact of malicious nodes. Detailed performance analysis and evaluation show that, in most cases, PKAEF outperforms previous works in terms of safety, filtering efficiency, and data availability.

scholarly journals Detection of selective forwarding attacks based on adaptive learning automata and communication quality in wireless sensor networks

2018 ◽  
Vol 14 (11) ◽  
pp. 155014771881504 ◽  
Author(s):  
Hongliang Zhu ◽  
Zhihua Zhang ◽  
Juan Du ◽  
Shoushan Luo ◽  
Yang Xin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Adaptive Learning ◽  
Packet Loss ◽  
Learning Automata ◽  
Attack Detection ◽  
Wireless Sensor ◽  
Communication Quality ◽  
Selective Forwarding

Wireless sensor networks face threats of selective forwarding attacks which are simple to implement but difficult to detect. It is difficult to distinguish between malicious packet dropping and the normal packet loss on unstable wireless channels. For this situation, a selective forwarding attack detection method is proposed based on adaptive learning automata and communication quality; the method can eliminate the impact of normal packet loss on selective forwarding attack detection and can detect ordinary selective forwarding attack and special cases of selective forwarding attack. The current and comprehensive communication quality of nodes are employed to reflect the short- and long-term forwarding behaviors of nodes, and the normal packet loss caused by unstable channels and medium-access-control layer collisions is considered. The adaptive reward and penalty parameters of a detection learning automata are determined by the comprehensive communication quality of the node and the voting of its neighbors to reward normal nodes or punish malicious ones. Simulation results indicate the effectiveness of the proposed method in detecting ordinary selective forwarding attacks, black-hole attacks, on-off attacks, and energy exhaustion attacks. In addition, the communication overhead of the method is lower than that of other methods.

scholarly journals Accurate detection of selective forwarding attack in wireless sensor networks

2019 ◽  
Vol 15 (1) ◽  
pp. 155014771882400
Author(s):  
Qiong Zhang ◽  
Wenzheng Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Signal To Noise Ratio ◽  
Energy Resource ◽  
Attack Detection ◽  
Wireless Sensor ◽  
Detection Accuracy ◽  
Wireless Devices ◽  
Selective Forwarding

Selective forwarding attack in wireless sensor networks shows great impact on network performance and consumes limited energy resource. In previous countermeasures, it is assumed that all nodes in the communication range can detect misbehaviors of the attacker. However, as wireless devices require certain signal-to-noise ratio to receive frames correctly, and interference among nodes is inevitable in densely deployed wireless sensor networks, it is very difficult for previous approaches to detect misbehaviors accurately. In this article, a scheme named E-watchdog is proposed to improve accuracy of selective forwarding attack detection. Detection agents that are closer to the attacker are used to detect misbehaviors, which can improve the detection accuracy and reduce the false alarm rate effectively. Moreover, to prevent collaborative selective forwarding attack, E-watchdog uses reports from more than one detection agents. Fake reports from attackers are filtered out through an election algorithm. Simulation results show that the E-watchdog reduces the false detection rate by 25% and improves the detection accuracy by 10% on the premise of increasing negligible energy consumption.

scholarly journals Congestion Control and Prediction Schemes Using Fuzzy Logic System with Adaptive Membership Function in Wireless Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Phet Aimtongkham ◽  
Tri Gia Nguyen ◽  
Chakchai So-In
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Packet Loss ◽  
Superior Performance ◽  
Wireless Sensor ◽  
Volume Data ◽  
Energy Aware ◽  
Fuzzy Logic Systems ◽  
Hop Count

Network congestion is a key challenge in resource-constrained networks, particularly those with limited bandwidth to accommodate high-volume data transmission, which causes unfavorable quality of service, including effects such as packet loss and low throughput. This challenge is crucial in wireless sensor networks (WSNs) with restrictions and constraints, including limited computing power, memory, and transmission due to self-contained batteries, which limit sensor node lifetime. Determining a path to avoid congested routes can prolong the network. Thus, we present a path determination architecture for WSNs that takes congestion into account. The architecture is divided into 3 stages, excluding the final criteria for path determination: (1) initial path construction in a top-down hierarchical structure, (2) path derivation with energy-aware assisted routing, and (3) congestion prediction using exponential smoothing. With several factors, such as hop count, remaining energy, buffer occupancy, and forwarding rate, we apply fuzzy logic systems to determine proper weights among those factors in addition to optimizing the weight over the membership functions using a bat algorithm. The simulation results indicate the superior performance of the proposed method in terms of high throughput, low packet loss, balancing the overall energy consumption, and prolonging the network lifetime compared to state-of-the-art protocols.

scholarly journals Robust and Accurate Trust Establishment Scheme for Wireless Sensor Network

2020 ◽  
Vol 12 (6) ◽  
pp. 14-29
Author(s):  
Audrey NANGUE ◽  
◽  
Elie FUTE TAGNE ◽  
Emmanuel TONYE
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Trust Management ◽  
Wireless Sensor ◽  
Management Systems ◽  
Trust Value ◽  
Direct Trust ◽  
Indirect Trust

The success of the mission assigned to a Wireless Sensor Network (WSN) depends heavily on the cooperation between the nodes of this network. Indeed, given the vulnerability of wireless sensor networks to attack, some entities may engage in malicious behavior aimed at undermining the proper functioning of the network. As a result, the selection of reliable nodes for task execution becomes a necessity for the network. To improve the cooperation and security of wireless sensor networks, the use of Trust Management Systems (TMS) is increasingly recommended due to their low resource consumption. The various existing trust management systems differ in their methods of estimating trust value. The existing ones are very rigid and not very accurate. In this paper, we propose a robust and accurate method (RATES) to compute direct and indirect trust between the network nodes. In RATES model, to compute the direct trust, we improve the Bayesian formula by applying the chaining of trust values, a local reward, a local penalty and a flexible global penalty based on the variation of successful interactions, failures and misbehaviors frequency. RATES thus manages to obtain a direct trust value that is accurate and representative of the node behavior in the network. In addition, we introduce the establishment of a simple confidence interval to filter out biased recommendations sent by malicious nodes to disrupt the estimation of a node's indirect trust. Mathematical theoretical analysis and evaluation of the simulation results show the best performance of our approach for detecting on-off attacks, bad-mouthing attacks and persistent attacks compared to the other existing approaches.

scholarly journals Developing of Bluetooth mesh flooding between source-destination linking of nodes in wireless sensor networks

2021 ◽  
Vol 6 (9 (114)) ◽  
pp. 6-14
Author(s):  
Shaymaa Kadhim Mohsin ◽  
Maysoon A. Mohammed ◽  
Helaa Mohammed Yassien
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Packet Delivery Ratio ◽  
Mesh Network ◽  
Wireless Sensor ◽  
Destination Node ◽  
Delivery Ratio ◽  
Area Network ◽  
Hop Count ◽  
Packet Delivery

Bluetooth uses 2.4 GHz in ISM (industrial, scientific, and medical) band, which it shares with other wireless operating system technologies like ZigBee and WLAN. The Bluetooth core design comprises a low-energy version of a low-rate wireless personal area network and supports point-to-point or point-to-multipoint connections. The aim of the study is to develop a Bluetooth mesh flooding and to estimate packet delivery ratio in wireless sensor networks to model asynchronous transmissions including a visual representation of a mesh network, node-related statistics, and a packet delivery ratio (PDR). This work provides a platform for Bluetooth networking by analyzing the flooding of the network layers and configuring the architecture of a multi-node Bluetooth mesh. Five simulation scenarios have been presented to evaluate the network flooding performance. These scenarios have been performed over an area of 200×200 meters including 81 randomly distributed nodes including different Relay/End node configurations and source-destination linking between nodes. The results indicate that the proposed approach can create a pathway between the source node and destination node within a mesh network of randomly distributed End and Relay nodes using MATLAB environment. The results include probability calculation of getting a linking between two nodes based on Monte Carlo method, which was 88.7428 %, while the Average-hop-count linking between these nodes was 8. Based on the conducted survey, this is the first study to examine and demonstrate Bluetooth mesh flooding and estimate packet delivery ratio in wireless sensor networks

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