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Webshell Detection Based on Random Forest–Gradient Boosting Decision Tree Algorithm

https://doi.org/10.1109/dsc.2018.00030
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb01338.xopenalex-snapshot
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1007/3-540-45014-9_1openalex-snapshot
Ensemble Methods in Machine Learning
inferredcites →https://doi.org/10.1007/978-1-4302-0714-6_11openalex-snapshot
Understanding PHP Internals
inferredcites →https://doi.org/10.1007/978-1-4612-0919-5_22openalex-snapshot
Statistical Decision Functions
inferredcites →https://doi.org/10.1007/978-3-642-11747-3_3openalex-snapshot
Idea: Opcode-Sequence-Based Malware Detection
inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot
Support-Vector Networks
inferredcites →https://doi.org/10.1017/cbo9781139058452.002openalex-snapshot
Data Mining
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1023/a:1022643204877openalex-snapshot
Induction of Decision Trees
inferredcites →https://doi.org/10.1109/icccnt.2014.6963152openalex-snapshot
Webshell detection techniques in web applications
inferredcites →https://doi.org/10.1109/icdar.1995.598994openalex-snapshot
Random decision forests
inferredcites →https://doi.org/10.1109/secon.2017.7925283openalex-snapshot
The promise of machine learning in cybersecurity
inferredcites →https://doi.org/10.1109/tkde.2005.50openalex-snapshot
Using AUC and accuracy in evaluating learning algorithms
inferredcites →https://doi.org/10.1145/1143844.1143874openalex-snapshot
The relationship between Precision-Recall and ROC curves
inferredcites →https://doi.org/10.1145/1553374.1553516openalex-snapshot
Feature hashing for large scale multitask learning
inferredcites →https://doi.org/10.1145/1645953.1646301openalex-snapshot
Stochastic gradient boosted distributed decision trees
inferredcites →https://doi.org/10.1145/2872427.2882992openalex-snapshot
No Honor Among Thieves
inferredcites →https://doi.org/10.1214/aoms/1177730030openalex-snapshot
Statistical Decision Functions
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.5281/zenodo.19712698openalex-snapshot
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Ddos Attack Detection Framework: Leveraging Feature Selection Integration and Random Forest Optimization for Improved Security
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WSLD: Detecting Unknown Webshell Using Fuzzy Matching and Deep Learning
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TridentShell: a Covert and Scalable Backdoor Injection Attack on Web Applications
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Communicating Value in Healthcare Marketing from a Social Media Perspective
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WADS: A Webshell Attack Defender Assisted by Software-Defined Networks
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Webshell Detection Based on Explicit Duration Recurrent Network
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Towards a Webshell Detection Approach Using Rule-Based and Deep HTTP Traffic Analysis
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RF-AdaCost: WebShell Detection Method that Combines Statistical Features and Opcode
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A deep learner model for multi-language webshell detection
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ShellBreaker: Automatically detecting PHP-based malicious web shells
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CWSOGG: Catching Web Shell Obfuscation Based on Genetic Algorithm and Generative Adversarial Network
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A New Framework for Hyperspectral Image Classification Using Multiple Semisupervised Collaborative Classification Algorithm
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Webshell Detection Based on the Word Attention Mechanism
inferred← citeshttps://doi.org/10.1109/access.2020.2989304openalex-snapshot
WS-LSMR: Malicious WebShell Detection Algorithm Based on Ensemble Learning
inferred← citeshttps://doi.org/10.1109/access.2023.3279280openalex-snapshot
Use of Ensemble Learning to Detect Buffer Overflow Exploitation
inferred← citeshttps://doi.org/10.1109/access.2024.3506663openalex-snapshot
An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository
inferred← citeshttps://doi.org/10.1109/access.2026.3722619openalex-snapshot
Rethinking Input Construction for Webshell Detection: A Controlled Study of Tokenization, Chunking, and Feature Fusion
inferred← citeshttps://doi.org/10.1109/ccsb71176.2026.11716426openalex-snapshot
GRShellCatcher: A Webshell Detection Framework Based on Opcode Grayscale Mapping and ResNet
inferred← citeshttps://doi.org/10.1109/cns53000.2021.9705039openalex-snapshot
HoneyBog: A Hybrid Webshell Honeypot Framework against Command Injection
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ZeroDVS: Trace-Ability and Security Detection of Container Image Based on Inheritance Graph
inferred← citeshttps://doi.org/10.1109/eei67650.2025.11334803openalex-snapshot
Cortex: A Heterogeneous Graph Transformer Framework for Detecting Obfuscated Webshells
inferred← citeshttps://doi.org/10.1109/icaitpr51569.2022.9844206openalex-snapshot
PHP web shell detection through static analysis of AST using LSTM based deep learning
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Security Analysis and Threats Detection Techniques on Docker Container
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Detection approach of webshell attacks based on multi-dimensional dynamic features
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Identification of Consumer Buying Patterns using KNN in E-Commerce Applications
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A Blockchain based Federal Abnormal Detection Method for Power Dispatching Systems
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HoneyContainer: Container-based Webshell Command Injection Defending and Backtracking
inferred← citeshttps://doi.org/10.1109/tits.2021.3122979openalex-snapshot
An Efficient Hybrid Webshell Detection Method for Webserver of Marine Transportation Systems
inferred← citeshttps://doi.org/10.1109/vcris63677.2024.10813450openalex-snapshot
ASAF: AI-powered Static Analysis Framework for Webshell Detection
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Toward a Deep Learning Approach for Detecting PHP Webshell
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WebShell Detection Based on CodeBERT and Deep Learning Model
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Webshell Detection Based on Executable Data Characteristics of PHP Code
inferred← citeshttps://doi.org/10.1155/2021/9923234openalex-snapshot
PBDT: Python Backdoor Detection Model Based on Combined Features
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BERT-Embedding-Based JSP Webshell Detection on Bytecode Level Using XGBoost
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A Literature Review on Machine Learning in The Food Industry
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Optimization of Hue, Brightness, Luminance, and Saturation Parameters for Video Segmentation Based on Evolutionary Algorithms
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Detection of Obfuscated Javascript Code Based on Abstract Syntax Trees Coloring
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SmartEagleEye: A Cloud-Oriented Webshell Detection System Based on Dynamic Gray-Box and Deep Learning
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A Web Shell Detection Method Based on Multiview Feature Fusion
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WTA: A Static Taint Analysis Framework for PHP Webshell
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A DDoS Attack Detection Method Based on Natural Selection of Features and Models
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AST-DF: A New Webshell Detection Method Based on Abstract Syntax Tree and Deep Forest
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GAShellBreaker: A Novel Method for Java Fileless Webshell Detection Based on Grayscale Images and Deep Learning
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Mitigating Webshell Attacks through Machine Learning Techniques
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Improving the Accuracy of Flood Susceptibility Prediction by Combining Machine Learning Models and the Expanded Flood Inventory Data
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WebShell Attack Detection Based on a Deep Super Learner
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Research on WebShell Detection Method Based on Regularized Neighborhood Component Analysis (RNCA)
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EWA-GBDT: A Novel Air Quality Prediction Model Combining Exponentially Weighted Averages and Gradient Boosting Decision Tree
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