Skip to Main Content Area
  • CPS-VO
    • Contact Support
  • Browse
    • Calendar
    • Announcements
    • Repositories
    • Groups
  • Search
    • Search for Content
    • Search for a Group
    • Search for People
    • Search for a Project
    • Tagcloud
      
 
Not a member?
Click here to register!
Forgot username or password?
 
Home
National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

user input parameters

biblio

Visible to the public Automatic XSS Detection and Automatic Anti-Anti-Virus Payload Generation

Submitted by aekwall on Mon, 09/28/2020 - 12:35pm
  • parameter characteristics
  • SVM algorithm
  • XSS vulnerability
  • automatic anti-anti-virus payload generation tool
  • automatic bypassing
  • automatic detection
  • automatic XSS detection tool
  • DQN algorithm
  • malicious XSS attacks
  • malicious XSS parameters
  • Web application
  • RNN LSTM algorithm
  • rule-based WAF
  • user input parameters
  • user interaction
  • Web 2.0 era
  • XSS attack
  • XSS attack codes
  • Cross Site Scripting
  • internet
  • Support vector machines
  • feature extraction
  • learning (artificial intelligence)
  • machine learning
  • Resiliency
  • Human behavior
  • pubcrawl
  • Reinforcement learning
  • Scalability
  • tools
  • cross-site scripting
  • Training
  • recurrent neural nets
  • automatic generation
  • computer viruses
  • Payloads
  • Browsers

Terms of Use  |  ©2023. CPS-VO