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First PHP Webshell Opcode Incremental Dataset Motivation To improve the robustness of PHP webshell detection by analyzing low-level opcode patterns, circumventing common code obfuscation and evasion techniques. Content Summary Samples: 10,000+ PHP files (5,000+ webshells, some with anti-detection tricks , 5,000+ benign files from WordPress/PHPCMS). Includes source code, opcodes, processed opcodes Preprocessing: Extracted opcode sequences and decoded Opcode Double-Tuples (ODTs) with expert-designed filtering rules Temporal Validation: Split into pre-2021 (training/validation) and 2021-2024 (testing) samples. Can be used for incremental learning. License *Academic use only. Key Value Enables behavior-based detection models by preserving semantic context through opcode-level feature engineering. Full Changelog: https://github.com/w-32768/PHP-Webshell-Detection-via-Opcode-Analysis/commits/Webshell
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |