An Intrusion Detection System for Network Storage Based on System Calls

Rapid increase of information resources speeds the development of network storage. And security of network storage satisfies the demands of privacy and safety of the information. Data encryption and personal identity authentication which are based on cryptography can protect the storage against non-authorized access, while they are ineffective for malicious authorized users and inherent attacks. Also heavy performances affect the control of storage. This paper demonstrates an efficient intrusion detection system model for network-attached storage based on system calls and improves the Process Homeostasis to realize the implementation. The experimental results demonstrate high detection rate and low false detection rate. The total performance is about 3% additions when the detection system is running normally.