Black Hole Attack Detection using Fuzzy Logic

Journal Title: UNKNOWN - Year 2013, Vol 2, Issue 8

Abstract

MANET is a dynamic network with large number of mobile nodes .As the traffic increases over the manet it will leads to number of problems i.e congestion and packet loss .This congestion and packet loss problems occurs due to the attack in manet .one of attack is black hole attack .As a result some packet loss over the network and slows the communication process.In this paper we are providing the solution against black hole attack which is based on fuzzy rule .fuzzy rule based solution identify the infected node as well as provide the solution to reduce data loss over network.

Authors and Affiliations

Keywords

Related Articles

Analysis of Very Fast Transient over Voltages in 150MVA 500KV Transformer by Using Wavelet Transform

"Abstract: This paper deals with analysis of VFTOs (Very Fast Transient over Voltages) in transformer, in this work the 150MVA, 500KV power transformer is considered and is designed by using MATLAB software of version 7....

Scalable Uninterrupted Network Service Using LTE

Mobile communication systems revolutionized the way people communicate, joining together communications and mobility. A long way in a remarkably short time has been achieved in the history of wireless. Evolution of wirel...

Thyroid Nodules Evaluation with Sonography

Thyroid Nodules Evaluation with Sonography

Design of Loop Filter Using CMOS

An important task for a digital communications receiver is to remove any frequency/phase offsets that might exist between the transmitter and receiver oscillators. The use of a Phase Locked Loop enables the receiver to a...

Efficient Data Sharing in Cloud Medium with Key Aggregate Cryptosystem

In Cloud Storage there is an important functionality called Data Sharing, but the query always present in every one’s mind is how to securely, efficiently, and flexibly share data with others in cloud storage. A new publ...

Download PDF file
  • EP ID EP337486
  • DOI -
  • Views 100
  • Downloads 0

How To Cite

(2013). Black Hole Attack Detection using Fuzzy Logic. UNKNOWN, 2(8), -. https://europub.co.uk/articles/-A-337486