First Name
Josue
Last Name
Almaraz-Rivera
Dataset Entries from this Author
Obfuscated malware detection is a complex task where classification performance is seriously affected due to the evasion techniques presented in the input software samples. This research follows the novel memory analysis technique to examine features extracted from different RAM snapshots over compromised Windows Virtual Machines. For this, we use the CIC-MalMem-2022 dataset and create a new collection of data that we call WinMal25, which is based on fileless malware.
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Anomaly detection is a well-known topic in cybersecurity. Its application to the Internet of Things can lead to suitable protection techniques against problems such as denial of service attacks.
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