Here, we introduce the Malicious Source code Detection using a Translation model (MSDT) algorithm. MSDT is a novel deep-learning-based analysis method that detects real-world code injections into source code packages.
Jul 14, 2023
Jun 6, 2023 · Here, we introduce the Malicious Source code Detection using a Translation model (MSDT) algorithm. MSDT is a novel deep-learning-based analysis ...
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Here, we introduce the Malicious Source code Detection using a Translation model (MSDT) algorithm. MSDT is a novel deep-learning-based analysis method that ...
Sep 16, 2022 · Here, we introduce Malicious Source code Detection using Transformers (MSDT) algorithm. MSDT is a novel static analysis based on a deep learning ...
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Sep 16, 2022 · Here, we introduce Malicious Source code Detection using Transformers (MSDT) algorithm. MSDT is a novel static analysis based on a deep learning ...
Aug 9, 2023 · This paper proposes TransAST, a novel static detection method for obfuscated malicious JavaScript. Our approach's key is restoring the obfuscated JavaScript ...
Jan 9, 2024 · User an ML model to detect likely Malicious domains. A lot like Polymorphic malware, a lot of malwares used DAG Dynamically Generated Domains ...
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Malicious source code detection using a translation model. https://doi.org/10.1016/j.patter.2023.100773 ·. Journal: Patterns, 2023, № 7, p. 100773. Publisher ...
CalypsoAI scans every incoming response for malicious code, such as spyware or malware. If such content is detected, it is blocked from entering the system. All ...
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Jul 15, 2023 · I am thrilled to share that my thesis, titled "Malicious source code detection using a translation model" has been officially released in ...