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This paper is related with a stateful intrusion detection technology which is based on session state tracking in network intrusion detection systems(NIDSs). Today's network security systems are required high-performance as well as good functionality since the speed of the internet is increasing. But most of the software-based NIDSs(e.g. Snort) show inefficiency and even fail to perform for thefaster internet. In this paper, we provide hardwarebased stateful intrusion detection module to overcome these shortcomings of software-based solutions. By implementing stateful intrusion detection module in FPGA, we can solve the problem ofperformance and has capability of intrusion detection in future multigigabit network environment. In addition, we can improve the accuracy of intrusion detection with reducingfalse positive alerts.

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This paper relates to mobile malware detection for prevention against financial charge caused by the malicious behavior using SMS. In this paper, we propose the method that conducts malicious behavior monitoring and various analysis techniques to detect the attack. This method includes malware installation check, SMS sending and receiving analysis, and signature-based pattern matching. Therefore, we can effectively respond against SMS mobile malware attacks.

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