Results 31 to 40 of about 1,873 (195)
A Survey of Techniques for Mobile Service Encrypted Traffic Classification Using Deep Learning
The rapid adoption of mobile devices has dramatically changed the access to various networking services and led to the explosion of mobile service traffic.
Pan Wang +3 more
doaj +1 more source
Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models
Network traffic classification aims to recognize different application or traffic types by analyzing received data packets. This paper presents a neural network model with deep and parallel network-in-network (NIN) structures for classifying encrypted ...
Zhiyong Bu +4 more
doaj +1 more source
A novel dataset for encrypted virtual private network traffic analysis
Encryption of network traffic should guarantee anonymity and prevent potential interception of information. Encrypted virtual private networks (VPNs) are designed to create special data tunnels that allow reliable transmission between networks and/or end
Mohamed Naas, Jan Fesl
doaj +1 more source
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
Network traffic includes data transmitted across a network, such as web browsing and file transfers, and is organized into packets (small units of data) and flows (sequences of packets exchanged between two endpoints). Classifying encrypted traffic is essential for detecting security threats and optimizing network management.
Chen, Xu-Yang +3 more
openaire +2 more sources
Encrypted Traffic Classification Model Based on Byte Coding and Pre-Training Tasks [PDF]
This study proposes a pre-training model that integrates byte-level encoding and improved pre-training tasks for encrypted traffic classification. The aim is to address the lack of coding methods and corresponding pre-training tasks in designing the ...
YAO Lifeng, CAI Manchun, ZHU Yi, CHEN Yonghao, ZHANG Yiwen
doaj +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Classification of Encrypted IoT Traffic despite Padding and Shaping
13 pages, 11 figures, 7 ...
Engelberg, Aviv, Wool, Avishai
openaire +2 more sources
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Abstract Academic misconduct appeal services have quietly emerged within China's education marketplace, with commercial agencies promoting themselves on social media to assist international students facing misconduct hearings. While existing research on academic integrity has emphasized prevention and detection, far less attention has been paid to what
Gengyan Tang +2 more
wiley +1 more source
Context-driven encrypted multimedia traffic classification on mobile devices
The Internet has been experiencing immense growth in multimedia traffic from mobile devices. The increase in traffic presents many challenges to user-centric networks, network operators, and service providers. Foremost among these challenges is the inability of networks to determine the types of encrypted traffic and thus the level of network service ...
Mohammad A. Hoque +6 more
openaire +6 more sources

