Robust and Resilient Logistics Operations in a Degraded Information Environment
Abstract
Logistics operations depend on accurate information. Even relatively small errors in support systems can, in some circumstances, have large effects on operations. But errors are inevitable, so logistics operations should be robust to errors, whether they are a random occurrence or the result of a deliberate, targeted cyber attack. The U.S. Air Force asked RAND Project AIR FORCE to determine where it is most fruitful to focus effort in making changes to tactics, techniques, and procedures to improve an airmans ability to detect, evaluate, and mitigate significant corruption of logistics data. The goal is to respond to errors in data before they have a significant negative effect on combat operations. Highly automated processesin which humans do not see the data during normal operationspresent a significant challenge for detection. Detection of corrupted data is most critical during wartime, yet anomalies are less evident during wartime than during peacetime because wartime itself is an anomaly. Therefore, mechanisms are needed to adjust detection mechanisms from peacetime to wartime conditions. For workers (airmen, civilians, and contractors) to detect anomalous data, they all must be trained to understand the expected baseline and must be continuously vigilant when examining data. Leadership must also create an environment that encourages workers to report suspected anomalous data. Recommendations include defining, within logistics policy, what measures the logistics community should take in response to each information operations condition level and creating a new central body (perhaps within an existing organization)the Global Data Integrity Cellthat would receive all reports of suspected data anomalies to enable enterprise-wide situational awareness.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2017
- Accession Number
- AD1057232
Entities
People
- Don A. Snyder
- Elizabeth Bodine-baron
- John G. Drew
- Kristin F. Lynch
- Mahyar A. Amouzegar
- Mary Lee
Organizations
- RAND Corporation