1 năm trước
Recently, Software Defined Networking (SDN) has emerged as the key technology in programming and orchestrating security policy in the security operations centers (SOCs) for heterogeneous networks. Typically, machine learning-based intrusion detection systems (ML-IDS) have been deployed and associated with SDN to leverage the features of a programmable network to defend…
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Penetration testing is one of the most common methods for assessing the security of a system, application, or network. Although there are different support tools with great efficiency in this field, penetration testing is done mostly manually and relies heavily on the experience of the ethical hackers who are doing…
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Software-defined networking (SDN) is a potential approach for modern network architecture, which has received great attention recently. SDN-based networks also face security issues, and they can become targets of cyberattacks. Cyber threat hunting is one of the security solutions proposed for early attack detection in SDN. Developing machine learning-based IDS…
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In large-scale networks like the Industrial Internet of Things (IIoT), it is more important to monitor and enforce the security policy within an appropriate time due to the continuous widespread of cyberattacks. This is a tough challenge in traditional network architecture; thus, each network element’s network management is unsuitable for…
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The rising development of machine learning (ML) techniques has become the motivation for research in applying their outstanding features to facilitate intelligent intrusion detection systems (IDSs). However, ML-based solutions also have drawbacks of high false positive rates and vulnerability to sophisticated attacks such as adversarial ones. Therefore, continuous evaluation and…
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Sharing medical data can help doctors to give a more rapid and accurate diagnosis of a patient’s health problems. However, electronic healthcare records (EHRs) are also considered sensitive data, whose sharing may raise issues of security and privacy. Most current healthcare systems not only manage their data in centralized databases…
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The Android operating systems is becoming more popular. Security analysis on Android devices is necessary. We can perform security assessment on difference components of Android operating system such as pre-installed applications component, application framework component, or Linux kernel (Android kernel) component. Most of the current studies focus on pre-installed applications,…
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Today, Android mobile phones have shown their popularity with more than two billion users worldwide. Through the use of the application, the user’s personal data will be stored on the Android device. These data are especially important in digital investigation. The logical extraction method is one of the popular methods…
Đọc tiếp >>>2 năm trước
To build an effective malware detector, it is required to collect a diversity of malware samples and their evolution, since malware authors always try to evade detectors through strategies of malware mutation. So, this paper explores the ability to craft mutants of malware for gathering numerous mutated samples in training…
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