Article, 2022

Software-defined DDoS detection with information entropy analysis and optimized deep learning

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, ISSN 0167-739X, Volume 129, Pages 99-114, 10.1016/j.future.2021.11.009

Contributors

Liu, Ying (Corresponding author) [1] Zhi, Ting [1] [2] Shen, Ming 0000-0002-9388-3513 [3] Wang, Lu [1] Li, Yikun 0000-0002-3811-5618 [1] Wan, Ming [4]

Affiliations

  1. [1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
    2. [NORA names: China; Asia, East];
  2. [2] CETC Big Data Res Inst Co Ltd, Guiyang 550022, Guizhou, Peoples R China
    3. [NORA names: China; Asia, East];
  3. [3] Aalborg Univ, Dept Elect Syst, DK-9220 Aalborg, Denmark
    4. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD];
  4. [4] Liaoning Univ, Sch Informat, Shenyang 110036, Liaoning, Peoples R China
    5. [NORA names: China; Asia, East]

Abstract

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Keywords

DDoS attack detection, Deep learning, Information entropy, Software Defined Network

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