Automated Access and Analysis in Counter Network Operations
Abstract
The United States increasingly will likely oppose dark networked adversaries rather than only traditional nation states in future conflicts. These dark networked adversaries use a network form of organization and conduct activities that are both illegal and often secret. The IC, because of its Cold War hierarchical structure, is generally not as well equipped to counter this adversary as it is against a traditional nation state foe. Its hierarchical form limits effective information exchange. In order to counter dark networks more effectively, the IC must enable wider access to the large number of data sources both inside and outside US government control. This requires an examination of how it ensures information security and tags data for retrieval. Once the IC achieves wider data access, it must develop automated retrieval and analysis tools that can rapidly sort and link the large amount of data that would be available to intelligence analysts. These tools will facilitate improved understanding of dark networks adversaries and enable better decisions in future conflicts against them. By leveraging wider access to global data and processing that data using automated retrieval and analysis tools, the IC will better understand the terrain of network adversaries, facilitating more informed counter network decisions.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2007
- Accession Number
- ADA504786
Entities
People
- Robert S. Ferguson
Organizations
- Marine Corps University