Malicious software (i.e., malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems. Automatic Malware Analysis presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms.
This book provides a medium for researchers and practitioners to understand the synergy of cloud computing with various technologies enabling cyber-physical systems. These technologies comprise sensor-actuator networks, Internet of Things, machine-to-machine communication, or Supervisory Control and Data Acquisition. The technologies are applied to agriculture, atmospheric engineering, automotive/avionics systems, biomedical monitoring, computer vision, emergency response, entertainment, energy engineering, environmental informatics, green engineering, healthcare, industrial process control, logistics and transportation, marine science, manufacturing, mechanical engineering, nanoscience, pervasive computing, prosthetics, robotics, smart garments, sports science, and surveillance.