Product Inspection System on Single Evidence

Abstract

Thailand requires the Log management server or known as Log Server to store and manage computer traffic information for 90 days according to Computer-related Crime Act B.E. 2560 [1]. Therefore the log server requires to test according to the law. The Product inspection system has been created and used for Log server testing according to the National Electronics and Computer Technology Center standard (NTS 4003.1-2560). To test the Log Server, need a highly trained and experienced tester to evaluate the log server manually. The burden occurs in finding highly trained and experienced testers. To generate knowledge on the Log server test does take years to build. Furthermore, training a tester to acquire competent skills and knowledge would take even longer time. The test evaluation has been done manually, which takes a great time to complete as the tester has to evaluate the evidence one by one without any helping tools. In addition, the chance of an error from emotional or biased judgment can occur and cause the inconsistency verification result. Thus, to overcome the mentioned burdens, an automated log server inspection, and verification system has been developed. This system is called a “Computer traffic data storage system (SAS Log)” [2], which evaluates the evidence based on the label on the log server machine. The system would diminish the unambiguous and inconsistent verification result with Machine Learning in Image Processing [3] and Ontology technology [4].