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

email threat identification

biblio

Visible to the public Identifying Email Threats Using Predictive Analysis

Submitted by grigby1 on Wed, 05/09/2018 - 2:54pm
  • Policy
  • URL
  • unsolicited e-mail
  • unseen emails
  • Uniform resource locators
  • targeted attacks
  • Support vector machines
  • static analysis
  • sandboxing
  • Random Forest
  • pubcrawl
  • Predictive models
  • predictive analysis approach
  • Policy-Governed systems
  • Policy-Governed Secure Collaboration
  • Analytical models
  • malware attachment
  • malware
  • malicious emails
  • machine learning model
  • machine learning algorithms
  • learning (artificial intelligence)
  • invasive software
  • feature extraction
  • email threat identification
  • Electronic mail
  • Computer crime
  • composability
  • collaboration
  • attackers

Terms of Use  |  ©2023. CPS-VO