Container platforms provide many functions for diverse applications and are used to build and operate various information services. They have been extended not only to Linux and Unix-based servers but also to Windows and macOS-based desktops and laptops. Many systems use anti-virus software to minimize damage caused by malware. Most anti-virus software provide real-time malware detection functions and block the execution of malware by enforcing access denial functions for malware that cannot be deleted or for original files that cannot be restored. However, current anti-virus technologies are not designed for container platforms. Therefore, they cannot detect malware in containers in real time; nor can they block malware execution or user access to malware owing to the isolation feature provided by container platforms. To resolve these issues, we propose a functionally-isolated anti-virus architecture for container platforms. The proposed anti-virus architecture separates the functions of a legacy anti-virus engine to ensure compatibility with the isolation features of a container platform. By implementation, it was confirmed that the proposed anti-virus architecture can detect in real-time the entry of malware in a container platform and block the execution of, and user access to unrecoverable malware-infected files. The performance of the proposed functionally-isolated anti-virus architecture is similar to that of legacy anti-virus technology and was verified to be sufficiently effective.

Recently, as Internet is widely used due to the increased spread of the internet network, the software with malicious intent is distributed via the internet and its infection path gets various too. In particular, attacks by Bot mainly work at C&C (command-and-control) server but it can be secured just by blocking IP because C&C server runs in form of IP. However, this attacker too gets gradually intelligent as they try to connect periphrastically in order to avoid server blocking. Once these malicious codes infiltrate user's system, it is not easy to detect it through general detection method while it isrunning. In this paper, we propose malicious process detection system based on security agent in order to prevent damage caused by malicious code infection from spreading.

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