Human-centric visual monitoring of multi-clients system behavior and BiT for trust computing

ABSTRACT This paper proposes the trusted platform board monitoring (TPBM) system that enabled effectively detecting and managing abnormal phenomenon based on the trusted platform board not only for security but also for multiple clients connected on the web. In other words, TPBM strengthens weak points of the existing security and provides the function to monitor with human‐centric method not only system resources and process status for remote multi‐client systems that are operated based on hardware security but also behavior of multiple clients in the cloud computing environment. In addition, measuring instruction level behavior is potentially a more effective protection than a pure software approach. From program's run‐time behavior, system state safety can also be analyzed. However, dynamic characteristic of program trace also introduces challenges on what to measure and how to measure. To solve such problems, branch instruction trace (BiT) profiling tool is introduced to measure processor's instruction level run‐time behavior. However, the BiT has provided only the text results of logical error information but not the visual monitoring function by tracing abnormal branch at the level of instruction. In order to resolve this problem, this paper includes the human‐centric visual monitoring function for information on abnormal branch trace to TPBM. Copyright © 2012 John Wiley & Sons, Ltd. This paper proposes the trusted platform board monitoring (TPBM) system that enabled effectively detecting and managing abnormal phenomenon based on the trusted platform board not only for security but also for multiple clients connected on the web. The branch instruction trace(BiT) has provided only the text results of logical error information but not the visual monitoring function by tracing the abnormal branch at the level of instruction. In order to resolve this problem, this paper includes the human‐centric visual monitoring function for information on abnormal branch trace to TPBM.