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:

1,043
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

WEB-BASED MILITARY MANAGEMENT SYSTEMS SECURITY USING COMBINATION OF ONE-CLASS CLASSIFIERS

Pages

  19-29

Abstract

 Cyber-attacks against the web-based military command systems is very common in the age of electronic warfare. Web application is one of the most widely used tools in the world wide web. Because of its dynamic nature, it is vulnerable to serious security risks. Web-based command and control systems security considerations are very important for the modern military managers. Anomaly based INTRUSION DETECTION is an approach that focuses on new and unknown attacks.A method for anomaly detection in web applications using a COMBINATION OF ONE-CLASS CLASSIFIERS, is proposed. First, in preprocessing phase, normal HTTP traffic is logged and Features vector is extracted from each HTTP request. The proposed method consists of two steps; In the training phase, the extracted features vectors associated with each request, enter the system and the model of normal requests, using COMBINATION OF ONE-CLASS CLASSIFIERS, is learned. In the detection phase, anomaly detection operation is performed on the features vector of each each HTTP request using learned model of the training phase. S-OWA OPERATOR is used to combine the one-class classifiers. The data used for training and test are from CSIC2012 dataset. Detection rate and false alarm rate obtained from experiments, shows better results than other methods.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    JAMALYFARD, A., & SHIRAZI, H.. (2015). WEB-BASED MILITARY MANAGEMENT SYSTEMS SECURITY USING COMBINATION OF ONE-CLASS CLASSIFIERS. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 3(3 (11)), 19-29. SID. https://sid.ir/paper/243186/en

    Vancouver: Copy

    JAMALYFARD A., SHIRAZI H.. WEB-BASED MILITARY MANAGEMENT SYSTEMS SECURITY USING COMBINATION OF ONE-CLASS CLASSIFIERS. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2015;3(3 (11)):19-29. Available from: https://sid.ir/paper/243186/en

    IEEE: Copy

    A. JAMALYFARD, and H. SHIRAZI, “WEB-BASED MILITARY MANAGEMENT SYSTEMS SECURITY USING COMBINATION OF ONE-CLASS CLASSIFIERS,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 3, no. 3 (11), pp. 19–29, 2015, [Online]. Available: https://sid.ir/paper/243186/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