A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP

被引:1
|
作者
Grochol, David [1 ]
Sekanina, Lukas [1 ]
Zadnik, Martin [1 ]
Korenek, Jan [1 ]
机构
[1] Brno Univ Technol, Fac Informat Technol, IT4 Innovat Ctr Excellence, Bozetechova 2, Brno 61266, Czech Republic
关键词
TRAFFIC CLASSIFICATION;
D O I
10.1007/978-3-319-16549-3_6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper deals with design of an application protocol classifier intended for high speed networks operating at 100 Gbps. Because a very low latency is the main design constraint, the classifier is constructed as a combinational circuit in a field programmable gate array. The classification is performed using the first packet carrying the application payload. In order to further reduce the latency, the circuit is optimized by Cartesian genetic programming Using a real network data, we demonstrated viability of our approach in task of a very fast classification of three application protocols (HTTP, SMTP, SSH).
引用
收藏
页码:67 / 78
页数:12
相关论文
共 50 条
  • [41] A Fast FPGA-based Deep Convolutional Neural Network Using Pseudo Parallel Memories
    Hailesellasie, Muluken
    Hasan, Syed Rafay
    2017 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2017, : 364 - 367
  • [42] Optimized FPGA-based Deep Learning Accelerator for Sparse CNN using High Bandwidth Memory
    Jiang, Chao
    Ojika, David
    Patel, Bhavesh
    Lam, Herman
    2021 IEEE 29TH ANNUAL INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES (FCCM 2021), 2021, : 157 - 164
  • [43] On-Board Georeferencing Using FPGA-Based Optimized Second-Order Polynomial Equation
    Liu, Dequan
    Zhou, Guoqing
    Huang, Jingjin
    Zhang, Rongting
    Shu, Lei
    Zhou, Xiang
    Xin, Chun Sheng
    REMOTE SENSING, 2019, 11 (02)
  • [44] FAST FPGA-BASED ARCHITECTURE FOR PEDESTRIAN DETECTION BASED ON COVARIANCE MATRICES
    Martelli, Samuele
    Tosato, Diego
    Cristani, Marco
    Murino, Vittorio
    2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2011, : 389 - 392
  • [45] Design of an FPGA-Based Controller for Fast Scanning Probe Microscopy
    Gregorat, Leonardo
    Cautero, Marco
    Carrato, Sergio
    Giuressi, Dario
    Panighel, Mirco
    Cautero, Giuseppe
    Esch, Friedrich
    SENSORS, 2024, 24 (18)
  • [46] FPGA-based Fast Real Time Simulation of Power Systems
    Shi, Y.
    Monti, A.
    2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, : 5629 - 5633
  • [47] Design of a Fast and Scalable FPGA-Based Bitmap for RDMA Networks
    Pan, Yipeng
    Guo, Zhichuan
    Zhang, Mengting
    ELECTRONICS, 2024, 13 (24):
  • [48] Optimized Memory Allocation and Power Minimization for FPGA-Based Image Processing
    Garcia, Paulo
    Bhowmik, Deepayan
    Stewart, Robert
    Michaelson, Greg
    Wallace, Andrew
    JOURNAL OF IMAGING, 2019, 5 (01):
  • [49] Fast and Accurate Training of Ensemble Models with FPGA-based Switch
    Meng, Jiuxi
    Guo, Ce
    Gebara, Nadeen
    Luk, Wayne
    2020 IEEE 31ST INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS (ASAP 2020), 2020, : 81 - 84
  • [50] FPGA-based fast eye detection method for edge device
    Byun, Jin Young
    Jeon, Jae Wook
    2022 22ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2022), 2022, : 1128 - 1130