Continuous Validation and Threat Protection for Mobile Applications

Abstract

The developed platform uses a predictive security model, based on over 12 years of mobile threat data collection and research using advanced machine learning, that enables threat detection even in cases where no prior signatures exist and before threats exhibit malicious behavior. Mobile Endpoint Security (MES) protects mobile endpoints and infrastructures from Web and Content based-threats (e.g. phishing attacks), Application-based threats and device risks, network-based threats, and also enables deep threat investigation providing administrators unparalleled visibility into the multitude of potential threats and risks within their mobile environment.

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Document Details

Document Type
Technical Report
Publication Date
Jul 10, 2020
Accession Number
AD1103459

Entities

People

  • Daemon Morrell

Tags

Communities of Interest

  • Biomedical
  • Cyber

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Computer Programming
  • Department Of Homeland Security
  • Detection
  • Environment
  • Government Procurement
  • Governments
  • Infrastructure
  • Intrusion Detection
  • Machine Learning
  • Mobile Application Software
  • Mobile Devices
  • Operating Systems
  • Phishers
  • Security
  • Social Media

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML