Simulation And Auditing Of Network Security Based On Probabilistic Neural Network Approach

Authors

  • Manoj Patel M.Tech(I.T.) LNCT BHOPAL(M.P.) INDIA
  • Dr. Maneesh Shrivastava HOD(I.T) LNCT BHOPAL(M.P.) INDIA
  • Kavita Deshmukh LNCT BHOPAL(M.P.) INDIA

DOI:

https://doi.org/10.24297/ijct.v3i1b.2746

Keywords:

Mobile adhoc network, Adhoc On Demand Distance Vector Routing, probabilistic Neural Network Analysis, attacks,

Abstract

: Probabilistic Neural Network approach used for mobile adhoc network is more efficient way to estimate the network security. In this paper, we are using an Adhoc On Demand Distance Vector (AODV) protocol based mobile adhoc network. In our Proposed Method we are considering the multiple characteristics of nodes. In this we use all the parameter that is necessary in AODV. For simulation purpose we use the probabilistic neural network approach that gives more efficient and accurate results as comparison to the clustering algorithm in the previous systems was used. The performance of PNN (probabilistic neural network) approach is improved  for identifying the particular attack like as wormholes, black holes  and selfish

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Author Biographies

Manoj Patel, M.Tech(I.T.) LNCT BHOPAL(M.P.) INDIA

   

Dr. Maneesh Shrivastava, HOD(I.T) LNCT BHOPAL(M.P.) INDIA

   

Kavita Deshmukh, LNCT BHOPAL(M.P.) INDIA

Asst. Professor  

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Published

2012-08-01

How to Cite

Patel, M., Shrivastava, D. M., & Deshmukh, K. (2012). Simulation And Auditing Of Network Security Based On Probabilistic Neural Network Approach. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 3(1), 91–94. https://doi.org/10.24297/ijct.v3i1b.2746

Issue

Section

Research Articles