Fast Detection Of Mobile Replica Node Attacks in Wireless Sensor Networks



Abstract

An adversary can capture and compromise unattended sensor nodes.
Make replicas and mount a variety of attacks.
Replica node attacks are dangerous.
They allow the attacker to leverage whole network.
Mobile replica node detection using the Sequential Probability Ratio Test.

Existing System

The adversary shares the compromised node’s keying materials and ID.
It spreads these replicas throughout ....etc

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Chapter 1:
1.1 introduction
1.2 history
1.3 motivation
1.4 aim & objective
1.5 outline of the project

chapter 2 : survey of literature
2.1 introduction
2.2 existing system
2.3 proposed system

Chapter 3: problem design & feasibility analysis
3.1 problem definition
3.2 feasibility analysis
3.2.1 operational feasibility
3.2.2 technical feasibility
3.2.2.1 hardware resources
3.2.2.2 software resources
3.2.3 economical feasibility
Chapter 4 : software requirements specification
4.1 introduction ....etc

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i need ns2 source codes and reports...mail me pls ....etc

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Fast Detection of Mobile Replica Node Attacks in Wireless Sensor Networks
Using Sequential Hypothesis Testing



INTRODUCTION

ADVANCES in robotics have made it possible to develop a
variety of new architectures for autonomous wireless
networks of sensors. Mobile nodes, essentially small robots
with sensing, wireless communications, and movement
capabilities, are useful for tasks such as static sensor
deployment, adaptive sampling, ....etc

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i need ns2 code for my project can u help me



e-mail:[email protected]
ph:no:9486075037 ....etc

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hello i am working on wireless sensor networks and m interested in crating mobile sink in my work so plz can any one help me in coding of mobility of sink with specific speed and directions thanx alot ....etc

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hai! plz
give any referce for the java code on detection of Seflish node in manets ....etc

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Abstract
This work provides a solution to identify malicious nodesin wireless sensor networks through detection of maliciousmessage transmissions in a network. A message transmissionis considered suspicious if its signal strength is incompatiblewith its originator’s geographical position. We provideprotocols for detecting suspicious transmissions – andthe consequent identification of malicious nodes – and fordisseminating this information in the network. We evaluatethe detection rate and the efficiency of our solution along anumb ....etc

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output screenshots and java code for detecting malicious router in the network ....etc

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i need a seminar report on the above topic....can any one can help me out ....etc

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