Ieeexplore.Ieee AI-Based Network Intrusion Detection System Enhances Cybersecurity
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An AI-based Network Intrusion Detection System utilizing Generative Adversarial Networks (GANs) has been developed to improve cybersecurity by detecting cyber threats in network traffic. This system addresses the limitations of traditional systems by generating synthetic attack data to balance datasets, achieving a detection accuracy rate of 96.2%. It is applicable in various sectors, including banking and IT, for real-time monitoring and enhanced security.
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CVE-2015-3306 Exploited in ProFTPD FTP Servers CVE-2015-3306, a vulnerability in ProFTPD 1.3.5, allows remote attackers to read and write arbitrary files using the SITE CPFR and SITE CPTO commands. This exploit can lead to unauthorized access and potential remote code execution, as the commands are executed with the privileges of the ProFTPD service. Active… 
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