Machine-learning-based darknet traffic detection system for IoT applications
The massive modern technical revolution in electronics, cognitive computing, and sensing
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …
[HTML][HTML] Darknet traffic classification and adversarial attacks using machine learning
N Rust-Nguyen, S Sharma, M Stamp - Computers & Security, 2023 - Elsevier
The anonymous nature of darknets is commonly exploited for illegal activities. Previous
research has employed machine learning and deep learning techniques to automate the …
research has employed machine learning and deep learning techniques to automate the …
Sok: An evaluation of the secure end user experience on the dark net through systematic literature review
The World Wide Web (www) consists of the surface web, deep web, and Dark Web,
depending on the content shared and the access to these network layers. Dark Web consists …
depending on the content shared and the access to these network layers. Dark Web consists …
The ascent of network traffic classification in the dark net: A survey
A Jenefa, V Edward Naveen - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
The Darknet is a section of the internet that is encrypted and untraceable, making it a
popular location for illicit and illegal activities. However, the anonymity and encryption …
popular location for illicit and illegal activities. However, the anonymity and encryption …
Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network
J Wang, H Jin, J Chen, J Tan, K Zhong - Information Sciences, 2022 - Elsevier
IoMT technology has many advantages in healthcare system, such as optimizing the
medical service model, improving the efficiency of hospital operation and management, and …
medical service model, improving the efficiency of hospital operation and management, and …
Darknet traffic analysis, and classification system based on modified stacking ensemble learning algorithms
A Almomani - Information Systems and e-Business Management, 2023 - Springer
Darknet, a source of cyber intelligence, refers to the internet's unused address space, which
people do not expect to interact with their computers. The establishment of security requires …
people do not expect to interact with their computers. The establishment of security requires …
Deep transfer learning-based network traffic classification for scarce dataset in 5G IoT systems
J Guan, J Cai, H Bai, I You - … Journal of Machine Learning and Cybernetics, 2021 - Springer
Abstract Internet of Things (IoT) can provide the interconnection and data sharing among
devices, vehicles, buildings via various sensors with the development of 5G, and it has been …
devices, vehicles, buildings via various sensors with the development of 5G, and it has been …
Darknet traffic classification and adversarial attacks
N Rust-Nguyen, M Stamp - arXiv preprint arXiv:2206.06371, 2022 - arxiv.org
The anonymous nature of darknets is commonly exploited for illegal activities. Previous
research has employed machine learning and deep learning techniques to automate the …
research has employed machine learning and deep learning techniques to automate the …
Deep neural classification of darknet traffic
Darknet is an encrypted portion of the internet for users who intend to hide their identity.
Darknet's anonymous nature makes it an effective tool for illegal online activities such as …
Darknet's anonymous nature makes it an effective tool for illegal online activities such as …
Darknet Traffic Analysis: A Systematic Literature Review
J Saleem, R Islam, Z Islam - IEEE Access, 2024 - ieeexplore.ieee.org
The primary objective of an anonymity tool is to protect the anonymity of its users through the
implementation of strong encryption and obfuscation techniques. As a result, it becomes …
implementation of strong encryption and obfuscation techniques. As a result, it becomes …