A Graph Neural Network Approach for Identifying Decentralized Applications in Encrypted Traffic

Cryptographic network traffic classification has been challenged by the advent of decentralized applications (DApps), especially those based on blockchain platforms like Ethereum. It is difficult to identify DApps using traditional methods, such as port-based identification or deep packet inspection...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Sufrianto Sufrianto, La Harudin, Abbas Oudah Waheed Alomairi, Mohammed Abdul Jaleel Maktoof
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Anhalt University of Applied Sciences 2025-07-01
Цуврал:	Proceedings of the International Conference on Applied Innovations in IT
Нөхцлүүд:	graph neural networks (gnns) encrypted traffic classification decentralized applications (dapps) traffic interaction graphs (tigs) network traffic analysis
Онлайн хандалт:	https://icaiit.org/paper.php?paper=13th_ICAIIT_3/4_4
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!