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Real-time behavioral DGA detection through machine learning Federico Basis, Salvatore Self, Pirandello Lombardo, Divide Bernard, Alan Peretti, Danilo Massey Ailton Technology Consulting Strata Del
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What is real-time behavioral dga detection?
Real-time behavioral DGA detection is a method of identifying and blocking domain generation algorithms in network traffic as they occur, in order to prevent malware infections and other cyber threats.
Who is required to file real-time behavioral dga detection?
Organizations and individuals who operate networks or systems that are vulnerable to DGA attacks are required to implement real-time behavioral DGA detection.
How to fill out real-time behavioral dga detection?
Real-time behavioral DGA detection can be filled out by implementing specialized software or tools that analyze network traffic in real-time for signs of DGA activity.
What is the purpose of real-time behavioral dga detection?
The purpose of real-time behavioral DGA detection is to protect networks and systems from advanced threats such as malware, ransomware, and data exfiltration that use domain generation algorithms to evade traditional security measures.
What information must be reported on real-time behavioral dga detection?
Information reported on real-time behavioral DGA detection typically includes details about the detected DGA activity, affected systems, and any remediation steps taken.
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