Heuristic Framework for Network Attack Detection Using Fuzzy ANN and Apache Mahout

May 2016
Vol-2, Issue-3
Paper ID: 2566
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
K-means Artificial Neural Network Fuzzy Bayesian Network Apache Mahout.
Abstract
As in today’s world the network has become more vulnerable to the attacks so there is a need of making the network more secure and our project is an initiative process towards it. In our project we have computed the probabilities of the attacks and intrusions which have been detected. In market there are plenty of different IDS available but none of the distributed type. Many of them make use of pattern matching and different complex algorithms but this makes the system slow. So for proper intrusion detection in distributed network we are making use of the concepts like K-means clustering, Fuzzy , Artificial neural network, Bayesian Learning, Apache Mahout.

Author Information

# Name Institute / Affiliation
1 Ronak Agrawal AISSMS IOIT
2 Ganesh Talekar AISSMS IOIT
3 Shriganesh Munde AISSMS IOIT
4 Akshaysingh Chandel AISSMS IOIT
5 D. S. Zingade AISSMS IOIT

How to Cite

Use the following formats to cite this article in your research.

APA Style
Agrawal, Ronak, Talekar, Ganesh, Munde, Shriganesh, Chandel, Akshaysingh, & Zingade, D. S. (2016). Heuristic Framework for Network Attack Detection Using Fuzzy ANN and Apache Mahout. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 3104-3110.
MLA Style
Agrawal, Ronak, et al. "Heuristic Framework for Network Attack Detection Using Fuzzy ANN and Apache Mahout." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 3104-3110.
IEEE Style
Ronak Agrawal, Ganesh Talekar, Shriganesh Munde, Akshaysingh Chandel, and D. S. Zingade, "Heuristic Framework for Network Attack Detection Using Fuzzy ANN and Apache Mahout," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 3104-3110, 2016.
Vancouver Style
Agrawal Ronak, Talekar Ganesh, Munde Shriganesh, Chandel Akshaysingh, Zingade D. S.. Heuristic Framework for Network Attack Detection Using Fuzzy ANN and Apache Mahout. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):3104-3110.
Harvard Style
Agrawal, Ronak, Talekar, Ganesh, Munde, Shriganesh, Chandel, Akshaysingh, & Zingade, D. S. (2016) 'Heuristic Framework for Network Attack Detection Using Fuzzy ANN and Apache Mahout', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 3104-3110.
Chicago Style
Agrawal, Ronak, et al. "Heuristic Framework for Network Attack Detection Using Fuzzy ANN and Apache Mahout." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3104-3110.
Turabian Style
Agrawal, Ronak, et al. "Heuristic Framework for Network Attack Detection Using Fuzzy ANN and Apache Mahout." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3104-3110.

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