2017-7-5 ADeepLearningBasedArtificialNeuralNetworkApproachforIntrusionDetection|SpringerLink
https://link.springer.com/chapter/10.1007/978-981-10-4642-1_5 1/16
A Deep Learning Based Artificial Neural
Network Approach for Intrusion Detection
International Conference on Mathematics and Computing
ICMC 2017: Mathematics and Computing pp 44-53
Sanjiban Sekhar Roy (1) Email author (sanjibanroy09@gmail.com)
Abhinav Mallik (1)
Rishab Gulati (1)
Mohammad S. Obaidat (2) (3)
P. V. Krishna (4)
1. School of Computer Science and Engineering, VIT University, Vellore, India
2. Fordham University, New York, USA
3. University of Jordan, Amman, Jordan
4. Department of Computer Science, Sri Padmavati Mahila Visvavidyalayam, Tirupati, India
Conference paper
First Online:
16 April 2017
DOI (Digital Object Identifier): 10.1007/978-981-10-4642-1_5
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107 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume
655)
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University/Computer/Science/Jordan/Approach/Intrusion/Based/Detection/8-981/Conference/
University/Computer/Science/Jordan/Approach/Intrusion/Based/Detection/8-981/Conference/
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