Darknet Traffic Classification Using Machine Learning
Therefore, a study was conducted on classifying Darknet Traffic using Machine Learning to detect user behaviors and identify potentially harmful activities. The CIC-Darknet2020 dataset was …
Illicit Darkweb Classification via Natural-Language Processing:
Dec 8, 2023 · Finally, we developed two illegal activities classification approaches, one for illicit content on the Dark Web and one for identifying the specific types of drugs.
Darknet traffic detection and characterization with models based …
May 1, 2023 · In this paper, we characterize and classify the real Darknet traffic available from the CIC-Darknet2020 dataset. In that sense, we performed the feature extraction and grouped the …
Efficient Dark Web traffic classification using a hybrid CNN
Feb 21, 2025 · Our research introduces a novel deep learning approach for darknet traffic classification, designed to address the complexities of anonymity networks while overcoming …
Edge‐Based Detection and Classification of Malicious Contents in …
Nov 22, 2021 · Therefore, this paper illustrates an intelligent classification system based on machine learning and Scrapy that can detect and judge fleetly categories of services with …
E2E-MDC: End-to-End Multi-Modal Darknet Traffic Classification …
Nov 15, 2025 · Accurate identification and classification of Darknet traffic is a critical technical challenge for network security supervision.
DGNN: Accurate Darknet Application Classification Adopting …
To curb malicious darknet activities, the accurate and effective classification of darknet traffic is imperative. Considerable endeavors have been devoted to identifying the darknet traffic. …
Utilizing the "DARK NET: Light in the Dark" dataset, the research focuses on classifying Dark Web services related to attacks. A comparative analysis was conducted using K-Nearest …
Dark web data classification using deep neural network
Jan 1, 2024 · On the basis of machine learning, we develop, analyse, and assess the effectiveness of darknet traffic detection systems (DTDS) in IoT networks. We focused at the …
Darknet traffic classification and adversarial attacks using …
Apr 1, 2023 · This research aims to improve darknet traffic detection by assessing a wide variety of machine learning and deep learning techniques for the classification of such traffic and for …