Cloud Service Provider Methods for Managing Insider Threats: Analysis Phase 2, Expanded Analysis and Recommendations

Abstract

Throughout the third quarter of 2013, researchers in the CERT (registered trademark) Insider Threat Center, part of the Carnegie Mellon Software Engineering Institute, contacted commercial and government cloud service providers (CSPs) to better understand the administrative and technical risks posed by CSP insiders and the countermeasures that CSPs are considering and deploying to identify and mitigate insider attacks. Based on the insights obtained from participating CSPs, CERT researchers have examined how existing CSP insider threat management practices may be improved. Researchers also examined the CERT Division's Insider Threat Assessment workbooks to identify some data types useful for CSP security information and event management (SIEM) systems, specifically for mitigating insider threats. A table listing those identified data sources may be of use for CSPs adding logging, analysis, and alerts to their SIEM systems. This report contains observations obtained from interview and survey responses of participating CSP personnel, considerations for improving insider threat mitigation processes, and current challenges within the CSP community as observed by the Insider Threat Center team.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2014
Accession Number
ADA592421

Entities

People

  • Chas Difatta
  • Greg Porter
  • Lori A. Flynn

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Computer Network Security
  • Computer Programming
  • Computer Programs
  • Computers
  • Cybersecurity
  • Data Centers
  • Data Storage Systems
  • Employment
  • Information Security
  • Insider Threats
  • Intellectual Property
  • Intrusion Detectors
  • Mobile Phones
  • Network Protocols
  • Operating Systems
  • Personnel Management
  • Security Personnel

Readers

  • Data Mining and Knowledge Discovery.
  • Emergency Management and Homeland Security.
  • Software Engineering.