Detection and Localization of Versatile spoofing Attackers in WSN
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2014, Vol 1, Issue 8
Abstract
Wireless spoofing strikes are easy to launch and can dramatically significance the efficiency of networks. Although the recognition of a node might possibly be verified by means of cryptographic authentication, typical security approaches are not always desirable because of their extra specifications. In this paper ,We are suggest to use spatial knowledge, a physical character related with each node, hard to falsify, except for reliant on cryptography, considering the reason for one detecting spoofing attacks; Two discovering the number of attackers when multiple competitors masquerading as the similar node identity; and Three localizing multiple competitors. We are suggesting to use the spatial association of received signal strength (RSS) acquired from cord less nodes to discover the spoofing attacks. We then build up the trouble of discovering the number of attackers in form of a multiclass detection problem. Cluster-based strategies are designed to determine the number of attackers. As soon as the training facts are located, we examine using the Support Vector Machines (SVM) process to further improve the accuracy of discovering the number of attackers. In addition, we have designed an integrated recognition and localization strategy that can localize the positions of various attackers. We have ranked the strategies through two test beds using both a WiFi and ZigBee networks in two real workplaces. Our experimental results show that our proposed techniques can achieve over 90 percent Hit Rate and Accuracy while working out the array of attackers. Localization outputs implementing a standard couple of algorithms provide effective confirmation of high accuracy of localizing multiple competitors.
Authors and Affiliations
Kiran Kumar P N
Keywords
Related Articles
- EP ID EP221052
- DOI -
- Views 180
- Downloads 0
Assessment of Health Risk due to Stone Crusher Pollution at Bharatkoop Town, District Chitrakoot
Now a days air pollution is a major problem in India. Unplanned urbanization and industrialization are the biggest cause of environmental pollution. Air pollution due to stone crusher industries causes major environmenta...
An Efficient Indexing Structure for Group Models On Data Streams
Group learning is a common tool for data stream classification, mainly because of its inherent advantages of handling huge volume of stream data and concept drifting. Have been mainly focused on building accurate group m...
A Yoruba Cultural Tradition Repository Knowledge Based System
In recent years researchers and experts have traditionally focused on how to enhance the look and functionality of how life issues are been tackled with respect to Africa cultural tradition for academic purposes and the...
Decision Support System for Agriculture Management
Currently climate change is one of the major problems encountered due to the climatic controls interacting in various intensities and in different combinations.[7]Agro Supply Chain will be an advisory and information sys...
Encoding and Decoding information with the help of Hill Cipher
The role of cryptographic part in today‟s world is very significant. It not only secures information mathematically by mailing massage with a key but also provides confidentiality which is the most important factor in to...