• DocumentCode
    3575253
  • Title

    Literature survey - IDS for DDoS attacks

  • Author

    Prajapati, Naveen Mohan ; Mishra, Atish ; Bhanodia, Praveen

  • Author_Institution
    Dept. of CSE, Patel Colllege of Sc. & Tech., Indore, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this paper, we present an overview of existing intrusion detection techniques for DDoS attacks. All these algorithms are described more or less on their own. Intrusion detection system is a very popular and computationally expensive task. We also explain the fundamentals of intrusion detection system. We describe today´s approaches for intrusion detection system. From the broad variety of efficient techniques that have been developed we will compare the most important ones. We will systematize the techniques and analyze their performance based on both their run time performance and theoretical considerations. Their strengths and weaknesses are also investigated. It turns out that the behavior of the algorithms is much more similar as to be expected.
  • Keywords
    computer network security; DDoS attacks; IDS; intrusion detection techniques; Algorithm design and analysis; Artificial neural networks; Chaotic communication; Reliability; Security; Support vector machines; Vectors; DDOS; ID3; IDS; KDD CUP 99; Literature survey;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT in Business, Industry and Government (CSIBIG), 2014 Conference on
  • Print_ISBN
    978-1-4799-3063-0
  • Type

    conf

  • DOI
    10.1109/CSIBIG.2014.7056943
  • Filename
    7056943