An Impersonation Attack Detection Method Using Bloom Filters and Dispersed Data Transmission for Wireless Sensor Networks

2012 ◽  
Author(s):  
Noriaki Tanabe ◽  
Eitaro Kohno ◽  
Yoshiaki Kakuda
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Transmission ◽  
Detection Method ◽  
Attack Detection ◽  
Bloom Filters ◽  
Wireless Sensor ◽  
Impersonation Attack

scholarly journals An Energy-efficient Data Transmission Scheme in Underwater Wireless Sensor Networks

2016 ◽  
Vol 6 (2) ◽  
pp. 931-936 ◽  
Author(s):  
Y. Emami ◽  
R. Javidan
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Transmission ◽  
Energy Efficient ◽  
Bloom Filters ◽  
Wireless Sensor ◽  
Underwater Wireless Sensor Networks ◽  
Transmission Scheme ◽  
Efficient Data

Energy is a precious resource in underwater wireless sensor networks (UWSNs). In these networks, the number of data transmissions between sensor nodes dominates energy consumption. Complex signal processing techniques also increase energy consumption. In this paper an energy-efficient data transmission scheme based on bloom filters is proposed. Extensive simulation is carried out to demonstrate the effectiveness of the proposed method. Simulation results indicate that the proposed scheme outperforms the primary technique in terms of energy efficiency, lifetime, load and loss rate. The results of this research suggest that exploiting bloom filters is a viable solution for reducing the number of transmissions in UWSNs.

scholarly journals An efficient wormhole attack detection method in wireless sensor networks

2014 ◽  
Vol 11 (3) ◽  
pp. 1127-1141 ◽  
Author(s):  
Guowei Wu ◽  
Xiaojie Chen ◽  
Lin Yao ◽  
Youngjun Lee ◽  
Kangbin Yim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Detection Method ◽  
Human Life ◽  
Attack Detection ◽  
Wireless Sensor ◽  
Wormhole Attack ◽  
Security Issues ◽  
Wormhole Attacks ◽  
Commercial Applications

Wireless sensor networks are now widely used in many areas, such as military, environmental, health and commercial applications. In these environments, security issues are extremely important since a successful attack can cause great damage, even threatening human life. However, due to the open nature of wireless communication, WSNs are liable to be threatened by various attacks, especially destructive wormhole attack, in which the network topology is completely destroyed. Existing some solutions to detect wormhole attacks require special hardware or strict synchronized clocks or long processing time. Moreover, some solutions cannot even locate the wormhole. In this paper, a wormhole attack detection method is proposed based on the transmission range that exploits the local neighborhood information check without using extra hardware or clock synchronizations. Extensive simulations are conducted under different mobility models. Simulation results indicate that the proposed method can detect wormhole attacks effectively and efficiently in WSNs.

An Energy Efficient Routing Approach to Enhance Coverage for Application Specific Wireless Sensor Networks using Genetic Algorithm

2019 ◽  
Vol 13 ◽  
Author(s):  
Amandeep Kaur Sohal ◽  
Ajay Kumar Sharma ◽  
Neetu Sood
Keyword(s):  
Genetic Algorithm ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Transmission ◽  
Energy Efficient ◽  
Search Algorithm ◽  
Cluster Formation ◽  
Green Computing ◽  
Wireless Sensor ◽  
Energy Efficient Routing

Background: An information gathering is a typical and important task in agriculture monitoring and military surveillance. In these applications, minimization of energy consumption and maximization of network lifetime have prime importance for green computing. As wireless sensor networks comprise of a large number of sensors with limited battery power and deployed at remote geographical locations for monitoring physical events, therefore it is imperative to have minimum consumption of energy during network coverage. The WSNs help in accurate monitoring of remote environment by collecting data intelligently from the individual sensors. Objective: The paper is motivated from green computing aspect of wireless sensor network and an Energy-efficient Weight-based Coverage Enhancing protocol using Genetic Algorithm (WCEGA) is presented. The WCEGA is designed to achieve continuously monitoring of remote areas for a longer time with least power consumption. Method: The cluster-based algorithm consists two phases: cluster formation and data transmission. In cluster formation, selection of cluster heads and cluster members areas based on energy and coverage efficient parameters. The governing parameters are residual energy, overlapping degree, node density and neighbor’s degree. The data transmission between CHs and sink is based on well-known evolution search algorithm i.e. Genetic Algorithm. Conclusion: The results of WCEGA are compared with other established protocols and shows significant improvement of full coverage and lifetime approximately 40% and 45% respectively.

scholarly journals A Data-Based Fault-Detection Model for Wireless Sensor Networks

2019 ◽  
Vol 11 (21) ◽  
pp. 6171 ◽  
Author(s):  
Jangsik Bae ◽  
Meonghun Lee ◽  
Changsun Shin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Fault Detection ◽  
Data Transmission ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sensors And Actuators ◽  
Detection Model ◽  
Management Platform

With the expansion of smart agriculture, wireless sensor networks are being increasingly applied. These networks collect environmental information, such as temperature, humidity, and CO2 rates. However, if a faulty sensor node operates continuously in the network, unnecessary data transmission adversely impacts the network. Accordingly, a data-based fault-detection algorithm was implemented in this study to analyze data of sensor nodes and determine faults, to prevent the corresponding nodes from transmitting data; thus, minimizing damage to the network. A cloud-based “farm as a service” optimized for smart farms was implemented as an example, and resource management of sensors and actuators was provided using the oneM2M common platform. The effectiveness of the proposed fault-detection model was verified on an integrated management platform based on the Internet of Things by collecting and analyzing data. The results confirm that when a faulty sensor node is not separated from the network, unnecessary data transmission of other sensor nodes occurs due to continuous abnormal data transmission; thus, increasing energy consumption and reducing the network lifetime.

Sign in / Sign up

Export Citation Format

Share Document