Apcerto: Mobile App Security Orchestration Platform

Abstract

Past work commercialized a mobile app security certification tool that 1) performed critical security validation of Android mobile apps as measured against the National Information Assurance Partnership (NIAP) Mobile Application Protection Profile (MAPP), called Apcerto Bayesian Classifier. The Bayesian classifier was designed with the capability to produce a unique threat model based on machine learning that projects the probability of an attack or intrusion based on the mobile apps design and configuration. This work extends the classifier into an end-to-end mobile application orchestration platform by building out application programming interface (API) connections to other mobile app lifecycle components, such as identity management, cyber hardening, and Enterprise Mobility Management (EMM).

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2021
Accession Number
AD1124376

Entities

People

  • Marika Robertson

Tags

Communities of Interest

  • Autonomy
  • Cyber

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Application Programming Interface
  • Computer Programming
  • Computer Programs
  • Computers
  • Contracts
  • Department Of Defense
  • Department Of Homeland Security
  • Detection
  • Environment
  • Government Procurement
  • Governments
  • Information Assurance
  • Information Systems
  • Machine Learning
  • Mobile Application Software
  • Mobile Devices
  • Mobile Operating Systems
  • Mobile Phones
  • National Governments
  • Operating Systems
  • Security
  • Standards

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Cybersecurity.

Technology Areas

  • AI & ML
  • Cyber