Detecting DDoS Attacks within Milliseconds by Using FPGA-based Hardware Acceleration

被引:0
|
作者
Nagy, Balazs [1 ]
Orosz, Peter [2 ]
Tothfalusi, Tamas [1 ]
Kovacs, Laszlo [1 ]
Varga, Pal [2 ]
机构
[1] AITIA Int Inc, Telecommun Div, Budapest, Hungary
[2] Budapest Univ Technol & Econ, Dept Telecommun & Media Informat, Budapest, Hungary
关键词
DDoS; intrusion detection; Data Center Networks; FPGA;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Timely detection and mitigation of Distributed Denial of Service (DDoS) attacks are still challenging for current datacenter and Internet packet exchange operators. Detecting volumetric attacks are in the range of seconds, whereas their mitigation is often in the range of minutes. Besides the fact that the attacks are effective until their mitigation is successful, there are further attacks that remain unnoticed by current equipment. These are hit-and-run attacks that last for a fraction of a second or a few seconds only, pushing the network or the targeted service towards an unstable state and evaporate. This paper presents an FPGA-based DDoS detector and its application. The detector is capable of detecting the top-9 DDoS attack types, the 96.67% of all DDoS attacks, and the so called hit-and-run attacks within milliseconds. The concept is validated through real-life use cases on attacks of a medium-sized datacenter network.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] FPGA-based DNA Basecalling Hardware Acceleration
    Wu, ZhongPan
    Hammad, Karim
    Mittmann, Robinson
    Magierowski, Sebastian
    Ghafar-Zadeh, Ebrahim
    Zhong, Xiaoyong
    2018 IEEE 61ST INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2018, : 1098 - 1101
  • [2] FPGA-Based Hardware Acceleration for Boolean Satisfiability
    Gulati, Kanupriya
    Paul, Suganth
    Khatri, Sunil P.
    Patil, Srinivas
    Jas, Abhijit
    ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2009, 14 (02)
  • [3] FHAST: FPGA-Based Acceleration of BOWTIE in Hardware
    Fernandez, Edward B.
    Villarreal, Jason
    Lonardi, Stefano
    Najjar, Walid A.
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2015, 12 (05) : 973 - 981
  • [4] Integrating FPGA-based hardware acceleration with relational databases
    Liu, Ke
    Tong, Haonan
    Sun, Zhongxiang
    Ren, Zhixin
    Huang, Guangkui
    Zhu, Hongyin
    Liu, Luyang
    Lin, Qunyang
    Zhang, Chuang
    PARALLEL COMPUTING, 2024, 119
  • [5] Real time Orthorectification by FPGA-based Hardware Acceleration
    Kuo, David
    Gordon, Don
    IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XVI, 2010, 7830
  • [6] FPGA-based acceleration of detecting statistical epistasis in GWAS
    Wienbrandt, Lars
    Kaessens, Jan Christian
    Gonzalez-Dominguez, Jorge
    Schmidt, Bertil
    Ellinghaus, David
    Sehimmler, Manfred
    2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, 2014, 29 : 220 - 230
  • [7] Lithographic Aerial Image Simulation with FPGA-Based Hardware Acceleration
    Cong, Jason
    Zou, Yi
    FPGA 2008: SIXTEENTH ACM/SIGDA INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE GATE ARRAYS, 2008, : 67 - 76
  • [8] Research Progress on FPGA-based Machine Learning Hardware Acceleration
    Wang C.
    Wang T.
    Ma X.
    Zhou X.-H.
    Jisuanji Xuebao/Chinese Journal of Computers, 2020, 43 (06): : 1161 - 1182
  • [9] FPGA-Based Hardware Acceleration of Lithographic Aerial Image Simulation
    Cong, Jason
    Zou, Yi
    ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS, 2009, 2 (03)
  • [10] Hardware Acceleration of Image Registration Algorithm on FPGA-based Systems on Chip
    Stratakos, Ioannis
    Gourounas, Dimitrios
    Tsoutsouras, Vasileios
    Economopoulos, Theodore
    Matsopoulos, George
    Soudris, Dimitrios
    INTERNATIONAL CONFERENCE ON OMNI-LAYER INTELLIGENT SYSTEMS (COINS), 2019, : 92 - 97