Cover Image

Development of Multistage Machine Learning Classifier using Decision Trees and Boosting Algorithms over Darknet Network Traffic

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nair, Anjali Sureshkumar, Nitnaware, Prashant
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
by: Hasan, Mohammad, et al.
Published: (2024)

Efficient Detection of Botnet Traffic by features selection and Decision Trees
by: Velasco-Mata, Javier, et al.
Published: (2021)

S-BDT: Distributed Differentially Private Boosted Decision Trees
by: Peinemann, Thorsten, et al.
Published: (2023)

Malicious URL Detection using optimized Hist Gradient Boosting Classifier based on grid search method
by: Maftoun, Mohammad, et al.
Published: (2024)

Machine Learning for Cyber-Attack Identification from Traffic Flows
by: Zhou, Yujing, et al.
Published: (2025)

Explainable Machine Learning for Cyberattack Identification from Traffic Flows
by: Zhou, Yujing, et al.
Published: (2025)

Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications
by: Haug, Markus, et al.
Published: (2025)

Leveraging VAE-Derived Latent Spaces for Enhanced Malware Detection with Machine Learning Classifiers
by: Ajayi, Bamidele, et al.
Published: (2025)

Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models
by: Antari, Ahmad, et al.
Published: (2025)

Development of an Adapter for Analyzing and Protecting Machine Learning Models from Competitive Activity in the Networks Services
by: Parfenov, Denis, et al.
Published: (2025)

Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017
by: Xu, Zhaoyang, et al.
Published: (2025)

SCADE: Scalable Framework for Anomaly Detection in High-Performance System
by: Vinay, Vaishali, et al.
Published: (2024)

Confidential and Protected Disease Classifier using Fully Homomorphic Encryption
by: Malik, Aditya, et al.
Published: (2024)

CAN-QA: A Question-Answering Benchmark for Reasoning over In-Vehicle CAN Traffic
by: Chen, Jing, et al.
Published: (2026)

Anticipated Network Surveillance -- An extrapolated study to predict cyber-attacks using Machine Learning and Data Analytics
by: Srivastava, Aviral, et al.
Published: (2023)

An Anomaly Detection System Based on Generative Classifiers for Controller Area Network
by: Zhao, Chunheng, et al.
Published: (2024)

PhishNet: A Phishing Website Detection Tool using XGBoost
by: Kumar, Prashant, et al.
Published: (2024)

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic
by: Zeleke, Sileshi Nibret, et al.
Published: (2025)

Beyond the Wrapper: Identifying Artifact Reliance in Static Malware Classifiers using TRUSTEE
by: Mohammed, Riyazuddin, et al.
Published: (2026)

Timber! Poisoning Decision Trees
by: Calzavara, Stefano, et al.
Published: (2024)

Temporal Context Awareness: A Defense Framework Against Multi-turn Manipulation Attacks on Large Language Models
by: Kulkarni, Prashant, et al.
Published: (2025)

Optimized IoT Intrusion Detection using Machine Learning Technique
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)

PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning
by: Masukawa, Ryozo, et al.
Published: (2025)

Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data
by: Lin, Huawei, et al.
Published: (2025)

MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
by: Chen, Xu-Yang, et al.
Published: (2024)

Fifty Shades of Darknet
by: Muntaka, Siddique Abubakr, et al.
Published: (2026)

INTACT: Intent-Aware Representation Learning for Cryptographic Traffic Violation Detection
by: Ray, Rahul D
Published: (2026)

Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning
by: Marfo, William, et al.
Published: (2024)

A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
by: Shakya, Sushil, et al.
Published: (2024)

Smart Surveillance: Identifying IoT Device Behaviours using ML-Powered Traffic Analysis
by: Ryan, Reza, et al.
Published: (2025)

On the Effectiveness of Adversarial Training on Malware Classifiers
by: Bostani, Hamid, et al.
Published: (2024)

TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation
by: Cui, Tianyu, et al.
Published: (2025)

MLSTL-WSN: Machine Learning-based Intrusion Detection using SMOTETomek in WSNs
by: Talukder, Md. Alamin, et al.
Published: (2024)

Fingerprinting Deep Learning Models via Network Traffic Patterns in Federated Learning
by: Shuvo, Md Nahid Hasan, et al.
Published: (2025)

SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges
by: Panzade, Prajwal, et al.
Published: (2022)

IoT Network Traffic Analysis with Deep Learning
by: Liu, Mei, et al.
Published: (2024)

Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
by: Sun, Shihua, et al.
Published: (2024)

SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks
by: Dang, Long, et al.
Published: (2025)

Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning
by: Shinde, Aditya, et al.
Published: (2025)

GETA: Generalized Encrypted Traffic Analysis
by: Gunasekara, Ransika, et al.
Published: (2026)