3 năm trước
With the spread of the number of smart devices in the context of Smart City, Software Defined Networking (SDN) is considered as a vital principle to manage a large-scale heterogeneous network within centralized controller. To deal with cyberattacks against such networks, intrusion detection system (IDS) is built to recognize and…
Đọc tiếp >>>3 năm trước
Showing a great potential in various domains, machine learning techniques are more and more used in the task of malicious network traffic detection to significantly enhance the ability of intrusion detection system (IDS). When associating with Software-Defined Networks (SDN), the deployment of IDSs can leverage the centralized control plane in…
Đọc tiếp >>>3 năm trước
Revolutionizing operation model of traditional network in programmability, scalability, and orchestration, Software-Defined Networking (SDN) has considered as a novel network management approach for a massive network with heterogeneous devices. However, it is also highly susceptible to security attacks like conventional network. Inspired from the success of different machine learning algorithms…
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In recent years, the Internet has witnessed a significant increase in phishing attacks. These attacks are not merely deceiving Internet users to get their sensitive information, but phishing attacks are developing more and more sophisticated, using many new techniques to try to bypass the traditional defense solution. With the help…
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Fruits classification by using machine learning – An experiment using popular approaches on local data
Đọc tiếp >>>3 năm trước
The demand for personal healthcare record (PHR) exchange among electronic medical record (EMR) systems and patients is growing along with remarkable efforts to improve the quality, safety, privacy- preserving, and efficiency of healthcare information delivery. Currently, in EMR systems, there are problems of fragmented communication and lack of interoperability for…
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