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    Feature Selection Method Based on Correlation Tree
    (2020-01-01)
    Yapila, Prajak
    ;
    Threepak, Thanunchai
    Machine learning is one of techniques adapted to detect intrusion for cyber security. One of importance techniques to find anomaly is classification. But classification with huge dataset has the resources and time consumption. Feature selection is choice to reduce the data dimension to improve processing performance. In this paper, we introduce the new feature selection method that selects some fields of data set using position of each feature in correlation tree. Then, the result from the correlation tree feature selection of KDDCUP’99 data set are compared with two feature selection technique, correlation of coefficient (CC-type) and BFS by using three reference classifier, Decision Tree (DT), Random Forest (RF), and Naive Bayes (NB).
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    Throughput of a Firewall Unit on FPGAS Developed by the RTL Design Methodology
    (2017-10-19)
    Sato, Tomoaki
    ;
    Chivapreecha, Sorawat
    ;
    Moungnoul, Phichet
    ;
    Higuchi, Kohji
    The transmission speed of mobile communication systems for mobile and IoT (Internet of things) devices is getting faster. Advanced, high-speed and low-power processing on network packets are needed in these devices. To realize these performances in the devices, the authors have proposed FPGAS (field-programmable gate arrays) which are developed by the RTL (register-Transfer level) design methodology. As an application of the FPGAS for mobile communication systems, a firewall unit has been developed. However, the function of the firewall unit is only packet filtering. A function for deleting a packet passing through an unauthorized port has not been realized. In this paper, the authors design the firewall unit with the function of deleting the packet. The throughputs of the firewall unit are shown. Thus, it is clarified that high throughput can be accommodated.
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    An FPGA architecture for ASIC-FPGA co-design to streamline processing of IDSs
    (2016-01-01)
    Sato, Tomoaki
    ;
    Chivapreecha, Sorawat
    ;
    Moungnoul, Phichet
    ;
    Higuchi, Kohji
    Novel methods for unauthorized access are always made. For cyber security measures in mobile devices, low-power and high-speed processing is very important. Despite these situations, a CPU for mobile devices is a very low processing capacity in order to focus on low-power operations and does not have sufficient performance for processing detection processing for unauthorized access. In contrast, a field-programmable gate array (FPGA) can apply to cyber security processing on mobile devices. By using the FPGA, cyber security processing is able to use parallel processing, super pipeline and processing that is independent of a word width size. However, the FPGA has a problem that the delay times of arithmetic circuits are longer than that of an application specific integrated circuit (ASIC) or CPU. In this paper, the authors propose an FPGA architecture for ASIC-FPGA co-design for addressing the problem. In order to evaluate the architecture, adders are enhanced by ASIC-FPGA co-design and evaluated. As a result, it is shown that the problem with the delay times of arithmetic circuits is solved.