This study presents a framework to detect malicious windows commands by using both statistical and deep learning algorithms. Our method consists of two stages.
Sep 6, 2021 · This study presents a framework to detect malicious windows commands by using both statistical and deep learning algorithms.
Apr 25, 2024 · List of computer science publications by Yi-Chung Tseng.
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Sep 3, 2019 · Stronger detection of malicious PowerShell scripts and other threats on endpoints using deep learning mean richer and better-informed security ...
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The Kaspersky Lab's research direction involves learning ML algorithms with normal files and malicious codes and then developing a technology that detects ...
Aug 24, 2022 · In this blog, we share how the researchers behind Microsoft Defender Experts for Hunting analyzed Sliver and used both lab-simulated attacks and ...
Jun 2, 2022 · The Trend Micro Threat Hunting team recently analyzed a series of CMD-based ransomware variants with a number capabilities such as stealing user ...
Apr 29, 2020 · The proposed method is the first malware threat hunting method that can be applied to different platforms, at the time of this research, and it ...
May 24, 2021 · Based on command and control (C2) traffic from malware, such as Sality and Emotet, this blog analyzes how deep learning models are further ...
Aug 17, 2023 · The command line is a critical data source for threat hunters and detection engineers, learn more about how to utilize it in this blog.