University of NV Seismological Lab. & Dept. of Geological Science
The recent development of malwares is rapidly progressing and intruders are getting better at concealing malwares to deceive users while researchers are developing security systems. One of the methods which are commonly used is behavior detection. In this paper, a more efficient behavior detection method and the framework of intrusion malware security system is presented. In addition, the implementation of the prototype and the result of the discussion are presented under advanced static analysis which is added PE header study.