مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

830
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

ENGINEERED FEATURE SET TO DETECT FLOODING ATTACKS IN SIP BASED VOIP

Pages

  61-69

Abstract

 The main signaling protocol of next generation networks especially in multimedia applications (e.g. video conference, IPTV and VoIP) is session initiation protocol (SIP). Different types of Denial of Service (DoS) attacks are applicable to SIP entities because of the stateful functionality and text based nature of SIP. More than 98 percent of these attacks against SIP entities are caused by misconfiguration and implementation shortcomings. In this paper, a feature set for using in anomaly detection systems by FEATURE ENGINEERING approach is generated. The knowledge of SIP packets, SIP internal state machine and normal behavior of this protocol were employed to create features that make machine learning algorithms work. The performance of the engineered feature set is evaluated with two different classifiers by applying three different data sets. The experimental results show the performance of proposed feature set in terms of detection and false alarm rate.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    ASGHARIAN, H., AKBARI, A., & RAAHEMI, B.. (2017). ENGINEERED FEATURE SET TO DETECT FLOODING ATTACKS IN SIP BASED VOIP. (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY, 8(1), 61-69. SID. https://sid.ir/paper/167552/en

    Vancouver: Copy

    ASGHARIAN H., AKBARI A., RAAHEMI B.. ENGINEERED FEATURE SET TO DETECT FLOODING ATTACKS IN SIP BASED VOIP. (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY[Internet]. 2017;8(1):61-69. Available from: https://sid.ir/paper/167552/en

    IEEE: Copy

    H. ASGHARIAN, A. AKBARI, and B. RAAHEMI, “ENGINEERED FEATURE SET TO DETECT FLOODING ATTACKS IN SIP BASED VOIP,” (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY, vol. 8, no. 1, pp. 61–69, 2017, [Online]. Available: https://sid.ir/paper/167552/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button