William Jackson / GCN
The system, which is being tested in a lab environment, uses a host-based agent to “learn” a user’s behavior and to look for anomalous behavior or other signatures, said computer scientist and project leader Justin Beaver.
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Among the characteristic information leveraged by the system are system call sequences. Each function on a computer initiates a series of calls for services. This occurs at a low level in the operating system, out of the user’s view, and creates a characteristic pattern for each user over time. Researchers found that normal patterns remain surprisingly consistent for individuals as they switch between computers and jobs.