• DocumentCode
    3764385
  • Title

    Comprehensive survey on intrusion detection on various hardware and software

  • Author

    VenkataRamesh Bontupalli;Tarek M. Taha

  • Author_Institution
    Department of ECE, University of Dayton, Dayton, OH 45469, USA
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    267
  • Lastpage
    272
  • Abstract
    The growth of digital technology have dramatically increased the security threats for computer networks over the last decade. Intrusion detection and prevention systems are designed to prevent and avoid any malicious attempts into the systems employing different types of hardware, software and classifiers. There are numerous studies developed to identify the virus attacks, protect the system from unauthorized access, abnormal activities, and strengthen the cyber security of the critical systems. With the increase in the security mechanisms and its technology, there is a great need for a structured and a broad overview of extensive research on intrusion detection systems to identify the different approaches, different solutions along with its strengths and weakness. In this paper, we will focus and describe the greatest contributions to effective Intrusion Detection System (IDS) to provide as a basis for future researchers the present challenges and issues in designing an intrusion detection system that could provide high performance, inherent learning capability and yet consume low power.
  • Keywords
    "Intrusion detection","Software","Hardware","Engines","Field programmable gate arrays","Classification algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference (NAECON), 2015 National
  • Electronic_ISBN
    2379-2027
  • Type

    conf

  • DOI
    10.1109/NAECON.2015.7443081
  • Filename
    7443081