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Toward effective mobile encrypted traffic classification through deep learning
Neurocomputing, 2020Abstract Traffic Classification (TC), consisting in how to infer applications generating network traffic, is currently the enabler for valuable profiling information, other than being the workhorse for service differentiation/blocking. Further, TC is fostered by the blooming of mobile (mostly encrypted) traffic volumes, fueled by the huge adoption of
Aceto, Giuseppe +3 more
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Mobile Encrypted Traffic Classification Using Deep Learning
2018 Network Traffic Measurement and Analysis Conference (TMA), 2018The massive adoption of hand-held devices has led to the explosion of mobile traffic volumes traversing home and enterprise networks, as well as the Internet. Procedures for inferring (mobile) applications generating such traffic, known as Traffic Classification (TC), are the enabler for highly-valuable profiling information while certainly raise ...
Aceto, Giuseppe +3 more
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Machine Learning for Encrypted Malware Traffic Classification
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017The application of machine learning for the detection of malicious network traffic has been well researched over the past several decades; it is particularly appealing when the traffic is encrypted because traditional pattern-matching approaches cannot be used.
Blake Anderson, David McGrew
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Computer Networks, 2020
Abstract Encrypted traffic classification is of great significance for advanced network services. Though encryption methods seem unbroken in protecting users’ privacy, existing studies have demonstrated that with sophisticated designed approaches utilizing the methods of machine learning or deep learning, the traffic can be identified as generated ...
Cong Dong +4 more
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Abstract Encrypted traffic classification is of great significance for advanced network services. Though encryption methods seem unbroken in protecting users’ privacy, existing studies have demonstrated that with sophisticated designed approaches utilizing the methods of machine learning or deep learning, the traffic can be identified as generated ...
Cong Dong +4 more
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MIMETIC: Mobile encrypted traffic classification using multimodal deep learning
Computer Networks, 2019Abstract Mobile Traffic Classification (TC) has become nowadays the enabler for valuable profiling information, other than being the workhorse for service differentiation or blocking. Nonetheless, a main hindrance in the design of accurate classifiers is the adoption of encrypted protocols, compromising the effectiveness of deep packet inspection ...
Aceto, Giuseppe +3 more
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Progress in Study of Encrypted Traffic Classification
2013The rapid increase in encrypted network traffic recently has becomeagreat challenge for network management, and study of encrypted traffic classification provides basic technical support for effective network management and network security. The basis and problems of encrypted traffic classification are introduced first.
Zigang Cao +3 more
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MalDIST: From Encrypted Traffic Classification to Malware Traffic Detection and Classification
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022Ofek Bader +4 more
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Encrypted traffic classification: the QUIC case
2023 7th Network Traffic Measurement and Analysis Conference (TMA), 2023Jan Luxemburk +2 more
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Fast and lean encrypted Internet traffic classification
Computer Communications, 2022Sangita Roy, Tal Shapira, Yuval Shavitt
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PTC: Prompt-based Continual Encrypted Traffic Classification
2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2023Wei Cai +5 more
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