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1

Sklyarov, Valery, Iouliia Skliarova, Alexander Barkalov, and Larysa Titarenko. Synthesis and Optimization of FPGA-Based Systems. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04708-9.

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2

Woods, Roger, John McAllister, Ying Yi, and Gaye Lightbody. FPGA-based Implementation of Signal Processing Systems. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119079231.

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3

Gong, Lingkan, and Oliver Diessel. Functional Verification of Dynamically Reconfigurable FPGA-based Systems. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-06838-1.

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4

Waidyasooriya, Hasitha Muthumala, Masanori Hariyama, and Kunio Uchiyama. Design of FPGA-Based Computing Systems with OpenCL. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68161-0.

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5

FPGA-based implementation of complex signal processing systems. Chichester, United Kingdom: John Wiley & Sons, 2008.

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6

Ullah, Salim, and Akash Kumar. Approximate Arithmetic Circuit Architectures for FPGA-based Systems. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21294-9.

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7

Scott, Hauck, and DeHon André, eds. Reconfigurable computing: The theory and practice of FPGA-based computation. Amsterdam: Morgan Kaufmann, 2008.

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8

Farooq, Umer. Tree-based Heterogeneous FPGA Architectures: Application Specific Exploration and Optimization. New York, NY: Springer New York, 2012.

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9

Amos, Doug. FPGA-based prototyping methodology manual: Best practices in design-for-prototyping. Mountain View, Calif: Synopsys Press, 2011.

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10

Deschamps, Jean-Pierre. Guide to FPGA Implementation of Arithmetic Functions. Dordrecht: Springer Netherlands, 2012.

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11

Wolf, Wayne. FPGA-based system design: ISE student edition version 4.2i design environment. Upper Saddle River, N.J: Prentice Hall PTR, 2004.

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12

Sklyarov, Valery, Alexander Barkalov, Larysa Titarenko, and Iouliia Skliarova. Synthesis and Optimization of FPGA-Based Systems. Springer, 2014.

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13

McAllister, John, Ying Yi, Roger Woods, and Gaye Lightbody. FPGA-Based Implementation of Signal Processing Systems. Wiley & Sons, Incorporated, John, 2017.

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14

McAllister, John, Ying Yi, Roger Woods, and Gaye Lightbody. FPGA-Based Implementation of Signal Processing Systems. Wiley & Sons, Incorporated, John, 2017.

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15

McAllister, John, Ying Yi, Roger Woods, and Gaye Lightbody. FPGA-Based Implementation of Signal Processing Systems. Wiley & Sons, Incorporated, John, 2008.

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16

Sklyarov, Valery, Alexander Barkalov, Larysa Titarenko, and Iouliia Skliarova. Synthesis and Optimization of FPGA-Based Systems. Springer London, Limited, 2014.

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17

McAllister, John, Ying Yi, Roger Woods, and Gaye Lightbody. FPGA-Based Implementation of Signal Processing Systems. Wiley & Sons, Incorporated, John, 2008.

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18

Sklyarov, Valery, Alexander Barkalov, Larysa Titarenko, and Iouliia Skliarova. Synthesis and Optimization of FPGA-Based Systems. Springer, 2016.

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19

McAllister, John, Ying Yi, Roger Woods, and Gaye Lightbody. FPGA-Based Implementation of Signal Processing Systems. Wiley & Sons, Limited, John, 2009.

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20

Raj, A. Arockia Bazil. FPGA-Based Embedded System Developer's Guide. Taylor & Francis Group, 2018.

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21

Raj, A. Arockia Bazil. FPGA-Based Embedded System Developer's Guide. Taylor & Francis Group, 2018.

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22

Guan, Lei. FPGA-Based Digital Convolution for Wireless Applications. Springer International Publishing AG, 2018.

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23

Guan, Lei. FPGA-based Digital Convolution for Wireless Applications. Springer, 2017.

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24

Ullah, Salim, and Akash Kumar. Approximate Arithmetic Circuit Architectures for FPGA-Based Systems. Springer International Publishing AG, 2023.

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25

Gong, Lingkan, and Oliver Diessel. Functional Verification of Dynamically Reconfigurable FPGA-Based Systems. Springer, 2016.

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26

Uchiyama, Kunio, Hasitha Muthumala Waidyasooriya, and Masanori Hariyama. Design of FPGA-Based Computing Systems with OpenCL. Springer, 2017.

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27

Gong, Lingkan, and Oliver Diessel. Functional Verification of Dynamically Reconfigurable FPGA-Based Systems. Springer, 2014.

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28

Uchiyama, Kunio, Hasitha Muthumala Waidyasooriya, and Masanori Hariyama. Design of FPGA-Based Computing Systems with OpenCL. Springer, 2018.

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29

Gong, Lingkan, and Oliver Diessel. Functional Verification of Dynamically Reconfigurable FPGA-Based Systems. Springer, 2014.

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30

Raj, A. Arockia Bazil. FPGA-Based Embedded System Developer's Guide. Taylor & Francis Group, 2018.

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31

FPGA Based Embedded System Developer's Guide. Taylor & Francis Group, 2018.

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32

Raj, A. Arockia Bazil. FPGA-Based Embedded System Developer's Guide. Taylor & Francis Group, 2018.

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33

Mehrez, Habib, and Husain Parvez. Application-Specific Mesh-based Heterogeneous FPGA Architectures. Springer, 2010.

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34

Mehrez, Habib, and Husain Parvez. Application-Specific Mesh-Based Heterogeneous FPGA Architectures. Springer, 2010.

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35

Mehrez, Habib, and Husain Parvez. Application-Specific Mesh-based Heterogeneous FPGA Architectures. Springer, 2014.

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36

McAllister, John, Ying Yi, Roger Woods, Burak Bardak, and Gaye Lightbody. FPGA-Based Implementation of Signal and Data Processing Systems. Wiley & Sons, Limited, John, 2017.

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37

McAllister, John, Ying Yi, Roger Woods, Burak Bardak, and Gaye Lightbody. FPGA-Based Implementation of Signal and Data Processing Systems. Wiley & Sons, Limited, John, 2017.

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38

Hauck, Scott, and André DeHon. Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation. Elsevier Science & Technology Books, 2010.

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39

Rahman, Arifur. FPGA Based Design and Applications (Series on Integrated Circuits and Systems). Springer, 2008.

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40

Mehrez, Habib, Umer Farooq, and Zied Marrakchi. Tree-based Heterogeneous FPGA Architectures: Application Specific Exploration and Optimization. Springer, 2014.

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41

Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation (Systems on Silicon) (Systems on Silicon). Morgan Kaufmann, 2007.

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42

Hilgurt, S. Ya, and O. A. Chemerys. Reconfigurable signature-based information security tools of computer systems. PH “Akademperiodyka”, 2022. http://dx.doi.org/10.15407/akademperiodyka.458.297.

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Abstract:
The book is devoted to the research and development of methods for combining computational structures for reconfigurable signature-based information protection tools for computer systems and networks in order to increase their efficiency. Network security tools based, among others, on such AI-based approaches as deep neural networking, despite the great progress shown in recent years, still suffer from nonzero recognition error probability. Even a low probability of such an error in a critical infrastructure can be disastrous. Therefore, signature-based recognition methods with their theoretically exact matching feature are still relevant when creating information security systems such as network intrusion detection systems, antivirus, anti-spam, and wormcontainment systems. The real time multi-pattern string matching task has been a major performance bottleneck in such systems. To speed up the recognition process, developers use a reconfigurable hardware platform based on FPGA devices. Such platform provides almost software flexibility and near-ASIC performance. The most important component of a signature-based information security system in terms of efficiency is the recognition module, in which the multipattern matching task is directly solved. It must not only check each byte of input data at speeds of tens and hundreds of gigabits/sec against hundreds of thousand or even millions patterns of signature database, but also change its structure every time a new signature appears or the operating conditions of the protected system change. As a result of the analysis of numerous examples of the development of reconfigurable information security systems, three most promising approaches to the construction of hardware circuits of recognition modules were identified, namely, content-addressable memory based on digital comparators, Bloom filter and Aho–Corasick finite automata. A method for fast quantification of components of recognition module and the entire system was proposed. The method makes it possible to exclude resource-intensive procedures for synthesizing digital circuits on FPGAs when building complex reconfigurable information security systems and their components. To improve the efficiency of the systems under study, structural-level combinational methods are proposed, which allow combining into single recognition device several matching schemes built on different approaches and their modifications, in such a way that their advantages are enhanced and disadvantages are eliminated. In order to achieve the maximum efficiency of combining methods, optimization methods are used. The methods of: parallel combining, sequential cascading and vertical junction have been formulated and investigated. The principle of multi-level combining of combining methods is also considered and researched. Algorithms for the implementation of the proposed combining methods have been developed. Software has been created that allows to conduct experiments with the developed methods and tools. Quantitative estimates are obtained for increasing the efficiency of constructing recognition modules as a result of using combination methods. The issue of optimization of reconfigurable devices presented in hardware description languages is considered. A modification of the method of affine transformations, which allows parallelizing such cycles that cannot be optimized by other methods, was presented. In order to facilitate the practical application of the developed methods and tools, a web service using high-performance computer technologies of grid and cloud computing was considered. The proposed methods to increase efficiency of matching procedure can also be used to solve important problems in other fields of science as data mining, analysis of DNA molecules, etc. Keywords: information security, signature, multi-pattern matching, FPGA, structural combining, efficiency, optimization, hardware description language.
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43

FPGA-Based System Design. Pearson Education, Limited, 2004.

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44

FPGA-Based System Design. Pearson Education, Limited, 2004.

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45

Sutter, Gustavo D., Jean-Pierre Deschamps, and Enrique Cantó. Guide to FPGA Implementation of Arithmetic Functions. Springer Netherlands, 2014.

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46

Fender, Joshua. An FPGA-based hardware development system with multi-gigabyte memory capacity and high bandwidth. 2005.

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47

FPGA-Based System Design (Prentice Hall Modern Semiconductor Design Series: PH Signal Integrity Library). Prentice Hall PTR, 2004.

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48

Fender, Joshua. An FPGA-based hardware development system with multi-gigabyte memory capacity and high bandwidth. 2005.

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49

Wolf, Wayne. FPGA-Based System Design (Prentice Hall Modern Semiconductor Design Series: PH Signal Integrity Library). Prentice Hall PTR, 2004.

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