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Accurate Decentralized Application Identification via Encrypted Traffic Analysis Using Graph Neural Networks

IEEE Transactions on Information Forensics and Security, 2021
Decentralized Applications (DApps) are increasingly developed and deployed on blockchain platforms such as Ethereum. DApp fingerprinting can identify users’ visits to specific DApps by analyzing the resulting network traffic, revealing much sensitive ...
Meng Shen   +4 more
semanticscholar   +1 more source

A Large-Scale Mobile Traffic Dataset For Mobile Application Identification

Computer/law journal, 2023
With Internet access shifting from desktop-driven to mobile-driven, application-level mobile traffic identification has become a research hotspot. Although considerable progress has been made in this research field, two obstacles are hindering its ...
Shuang Zhao   +5 more
semanticscholar   +1 more source

BitProb: Probabilistic Bit Signatures for Accurate Application Identification

IEEE Transactions on Network and Service Management, 2020
Network traffic classification finds its applications in a variety of network management tasks such as quality of service, security monitoring, traffic engineering, etc. Deep Packet Inspection is one of the methods to identify applications.
N. Hubballi, Mayank Swarnkar, M. Conti
semanticscholar   +1 more source

Cross identification: Method and application

2012 20th Signal Processing and Communications Applications Conference (SIU), 2012
Pattern identification algorithms can be exploited for single-class or multi-class identification problems. In conventional applications, identification algorithms are based on functions of measured features. However in some cases, we already have an identification algorithm but the measured features are different from the features expected by the ...
Bekir Sen, Yakup S. Özkazanç
openaire   +1 more source

Mobile Application Identification Over HTTPS Traffic Based on Multi-view Features

International Conference on Telecommunications, 2019
The expanding volume of HTTPS traffic (both legitimate and malicious) creates even more challenges for mobile network security and management. In this work, we propose AIBMF(Application Identification Based on Multi-view Features), a fine-grained ...
Mao Tian   +4 more
semanticscholar   +1 more source

ISDN applications: their identification and development

IEEE Network, 1989
Two efforts that are underway in the telecommunications industry to identify applications that directly relate to end-customer needs and to demonstrate the benefits of these applications are described. They are the North American ISDN Users' Forum (NIUF), sponsored by the National Institute of Standards and Technology, and the TriVista studies ...
Frederick C. Iffland   +2 more
openaire   +1 more source

A novel deep learning method for application identification in wireless network

China Communications, 2018
In modern wireless communication network, the increased consumer demands for multi-type applications and high quality services have become a prominent trend, and put considerable pressure on the wireless network.
Jie Ren, Zulin Wang
semanticscholar   +1 more source

Content identification in consumer applications

2009 IEEE International Conference on Multimedia and Expo, 2009
Much public attention has recently been drawn to the use of content identification technologies to filter or block the unauthorized publication of copyrighted material on Internet sites, as part of the content industry's effort to recover ground in the fight against Internet piracy.
Ching-Wei Chen   +3 more
openaire   +1 more source

Plant protein-derived antioxidant peptides: Isolation, identification, mechanism of action and application in food systems: A review

, 2020
Background In recent years, the antioxidant capacity of plant protein-derived peptides has been depicted in a growing number of studies. Plant proteins have been considered as the new source of antioxidant peptides, which not only save energy but also ...
Chaoting Wen   +4 more
semanticscholar   +1 more source

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