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Towards Fundamental Science of Cyber Security Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Memristors and the Future of Cyber Security Hardware

Authors : Michael J. Shevenell, Justin L. Shumaker, Arthur H. Edwards, Robinson E. Pino

Published in: Network Science and Cybersecurity

Publisher: Springer New York

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Abstract

The chapter covers three approaches to emulate a memristor-based computer using artificial neural networks, and we describe how a memristor computer could be used to solve Cyber security problems. The memristor emulation neural network approach was divided into three basic deployment methods: (1) deployment of neural networks on the traditional Von Neumann CPU architecture (2) software based algorithms deployed on the Von Neumann architecture utilizing a Graphics Processing Units (GPUs), and (3) a hardware architecture deployed onto a field-programmable gate array.

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previous chapter Hardware Accelerated Mining of Domain Knowledge
Literature
1.
A. Mitra, W. Najjar, L. Bhuyan, Compiling PCRE to FPGA for accelerating SNORT IDS, in ACM/IEEE Symposium on Architectures for Networking and Communications Systems, Orlando, FL, Dec 2007
2.
3.
4.
5.
6.
S.L. Pinjare, Implementation of neural network back propagation training algorithm on FPGA, Int. J. Comput. Appl. 52(6), 0975–8887 (2012)
7.
H. Jiang, The application of genetic neural network in network intrusion detection. J. Comput. 4(12), 1223–1230 (2009)
8.
9.
10.
11.
12.
13.
P. Lysaght, J. Stockwood, J. Law, D. Girma, Artificial neural network implementation on a fine-grained FPGA, in Field Programmable Logic and Applications ed. by Hartenstein, Servít (Springer-Verlag, New York, 1994) pp. 421–431
14.
A. Muthuramalingam, S. Himavathi, E. Srinivasan, Neural network implementation using FPGA: issues and application. Int. J. Inf. Commun. Eng. 4, 6 (2008)
15.
Q.A. Tran, Evolving block-based neural network and field programmable gate arrays for host-based intrusion detection system, in 2012 Fourth International Conference on Knowledge and Systems Engineering (2012)
16.
A.A. Hassan, A. Elnakib, M. Abo-Elsoud, FPGA-based neuro-architecture intrusion detection system, in International Conference on Computer Engineering & Systems, Cairo, Egypt, 25–27 Nov 2008, pp. 268–273
Metadata
Title
Memristors and the Future of Cyber Security Hardware
Authors
Michael J. Shevenell
Justin L. Shumaker
Arthur H. Edwards
Robinson E. Pino
Copyright Year
2014
Publisher
Springer New York
Book
Network Science and Cybersecurity

Print ISBN: 978-1-4614-7596-5

Electronic ISBN: 978-1-4614-7597-2

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-1-4614-7597-2_17

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