scholarly journals A Survey of Recent Intrusion Detection Systems for Wireless Sensor Network

2011 ◽  
pp. 268-280 ◽  
Author(s):  
Tapolina Bhattasali ◽  
Rituparna Chaki
Keyword(s):  
Wireless Sensor Network ◽  
Intrusion Detection ◽  
Sensor Network ◽  
Intrusion Detection Systems ◽  
Wireless Sensor ◽  
Detection Systems

scholarly journals Data Mining based Intrusion Detection in Wireless Sensor Network

2019 ◽  
Vol 8 (2) ◽  
pp. 2612-2616
Keyword(s):  
Wireless Sensor Network ◽  
Intrusion Detection ◽  
Sensor Network ◽  
Intrusion Detection Systems ◽  
Wireless Sensor ◽  
Defense System ◽  
Network Resources ◽  
Detection Systems ◽  
The One ◽  
Better Than

Intrusion detection is the one of the challenging task in wireless sensor network and prevents the system and network resources from being intrude or compromised. One of the ongoing strategies for recognizing any anomalous activities presented in a network is done by intrusion detection systems (IDS) and it becomes an essential part of defense system against attacker problems. The primary goal of our work is to study and analyze intrusion detection technique meant for improving the performance of Intrusion Detection using hybrid ANN based Clustering technique. To estimate the effectiveness of the proposed strategy, KDD CUP 99 dataset is utilized for testing and assessment. Based on the analysis, it is noticed that the proposed ANN clustering performs much better than other methods with respect to accuracy which attains an average high accuracy of 93.91%when compared with other methods.

scholarly journals Securing Wireless Sensor Network (WSN) Using Embedded Intrusion Detection Systems

2012 ◽  
Vol 8 (8) ◽  
pp. 54-64
Author(s):  
Qutaiba Ali ◽  
Sahar Lazim ◽  
Enaam Fathi
Keyword(s):  
Wireless Sensor Network ◽  
Intrusion Detection ◽  
Sensor Network ◽  
Detection System ◽  
Design Procedure ◽  
Wireless Sensor ◽  
Gateway Node ◽  
Detection Systems ◽  
Detailed Simulation ◽  
Current Design

This paper focuses on designing distributed wireless sensor network gateways armed with Intrusion Detection System (IDS). The main contribution of this work is the attempt to insert IDS functionality into the gateway node (UBICOM IP2022 network processor chip) itself. This was achieved by building a light weight signature based IDS based on the famous open source SNORT IDS. Regarding gateway nodes, as they have limited processing and energy constrains, the addition of further tasks (the IDS program) may affects seriously on its performance, so that, the current design takes these constrains into consideration as a priority and use a special protocol to achieve this goal. In order to optimize the performance of the gateway nodes, some of the preprocessing tasks were offloaded from the gateway nodes to a suggested classification and processing server and a new searching algorithm was suggested. Different measures were taken to validate the design procedure and a detailed simulation model was built to discover the behavior of the system in different environments.

Comparison and detail study of attacks and detection methods for wireless sensor network

2018 ◽  
Vol 7 (2.21) ◽  
pp. 405
Author(s):  
T Karthik Krishnan ◽  
S Sridevi ◽  
G Bindu ◽  
R Anandan
Keyword(s):  
Wireless Sensor Network ◽  
Intrusion Detection ◽  
Sensor Network ◽  
Precision Agriculture ◽  
Machine Learning Algorithms ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Detection Methods ◽  
Intelligent Building ◽  
Detection Systems

Wireless sensor network is emanating technology in the field of telecommunications. WSNs can be applied in many fields like machine surveillance, precision agriculture, home automation and intelligent building environments. However the major aspect of WSN is the security as the sensor nodes are limited because of these facing several security threats such as black hole attack, worm hole attack, flooding etc. which is finally affecting the functioning of the whole network. These attacks are maximizing the consumption of power in the node and also it decreases life of the battery. In this paper, we discuss several types of security attacks in wireless sensor networks and also it introduces various intrusion detection systems to detect these attacks and prevent the compromised nodes in the WSN. And also we discuss about the different intrusion detection methods with the help of machine learning algorithms. In future these techniques can be helpful to create a safe and sophisticated network.  

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