Results 81 to 90 of about 3,240 (155)

An encrypted traffic identification method based on multi-scale feature fusion

Array
As data privacy issues become more and more sensitive, increasing numbers of websites usually encrypt traffic when transmitting it. This method can largely protect privacy, but it also brings a huge challenge. Aiming at the problem that encrypted traffic
Peng Zhu, Gang Wang, Jingheng He, Yueli Dong, Yu Chang   +4 more
doaj   +1 more source

A Hybrid Encryption Framework for Secure and Real‐Time Vehicular Communications

SECURITY AND PRIVACY, Volume 9, Issue 2, March/April 2026.
ABSTRACT The rapid expansion of Vehicular Ad Hoc Networks (VANETs) has amplified concerns regarding data security, integrity, and privacy. This paper presents SECURIDE, a Secure Intelligent Data Exchange for Connected Vehicles that provides a comprehensive encryption–decryption framework for safeguarding multimedia data and communication channels in ...
Muhammad Usama, Muhammad Usman Hadi
wiley   +1 more source

Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review examines the integration of federated learning (FL) in the Internet of Medical Things (IoMT), enhanced by 5G/6G technologies, to improve healthcare systems with decentralized data processing, enhanced privacy, reduced latency, and efficient resource utilization, while addressing emerging challenges and future research directions.
Abdul Ahad, Kazi Istiaque Ahmed, Farhan Ullah, Muhammad Aman Sheikh, Mohammad Tahir, Mohammad Hayajneh, Ivan Miguel Pires   +6 more
wiley   +1 more source

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool, Giorgio Delzanno, Hamid Saadatfar, Aakash Ahmad, Rainer Koschke, Roohallah Alizadehsani, U. Rajendra Acharya, Daniele D'Agostino   +7 more
wiley   +1 more source

Transitioning to a Flexible, Tiered, Developmentally Informed Same‐Day Screening Model for Preschoolers in Low‐Resource Settings

Child: Care, Health and Development, Volume 52, Issue 2, March 2026.
ABSTRACT Background The preschool years (ages 3–5) represent a critical window for promoting development and lifelong health. However, in many low‐resource settings, developmental delays, sensory impairments and emerging health risks often go undetected.
Robyn Smith, Elizabeth M. Jordaan, Dorothy C. Russell, Monique de Milander, Marlie van Rooyen, Xany Jansen van Vuuren, Minette Devenier, Carmen Bonafede, Marshe Louw, Annelize Kruger, Innocentia Sivhugwana, Thembi Nkomo, Minzke van der Merwe   +12 more
wiley   +1 more source

Application of natural language processing techniques to network traffic processing for classification using deep learning models

Journal of Big Data
Background The rapid growth of encrypted network traffic has increased the need for effective and unbiased Network Traffic Classification (NTC). Traditional techniques struggle with encrypted data, limited feature availability, and high traffic volume ...
Ana M. Maitin, Carlos Arranz-Luque, Emilio Alba, Álvaro J. García-Tejedor   +3 more
doaj   +1 more source

A cybersecurity risk analysis framework for systems with artificial intelligence components

International Transactions in Operational Research, Volume 33, Issue 2, Page 798-825, March 2026.
Abstract The introduction of the European Union Artificial Intelligence (AI) Act, the NIST AI Risk Management Framework, and related international norms and policy documents demand a better understanding and implementation of novel risk analysis issues when facing systems with AI components: dealing with new AI‐related impacts; incorporating AI‐based ...
J.M. Camacho, A. Couce‐Vieira, D. Arroyo, D.R. Insua   +3 more
wiley   +1 more source

Encrypted traffic classification method based on parallel traffic graph and graph neural network

Tongxin xuebao
Aiming at the problems of traditional encrypted traffic classification methods limited by the imbalance of dataset classes and the unreliability of the features used in complex network environments, an encrypted traffic classification method based on ...
LIU Taotao, FU Yu, YU Yihan, AN Yishuai
doaj  

High-speed encrypted traffic classification by using payload features

Digital Communications and Networks
Traffic encryption techniques facilitate cyberattackers to hide their presence and activities. Traffic classification is an important method to prevent network threats.
Xinge Yan, Liukun He, Yifan Xu, Jiuxin Cao, Liangmin Wang, Guyang Xie   +5 more
doaj   +1 more source

MTDecipher: robust encrypted malicious traffic detection via multi-task graph neural networks

Cybersecurity
The widespread adoption of encrypted traffic protocols has significantly increased the challenge of detecting malicious traffic. Existing detection methods based on deep learning typically rely on fine-grained features of data packets, such as length ...
Fan Li, Xi Luo, Weihong Han, Binxing Fang, Lihua Yin   +4 more
doaj   +1 more source