Internet Traffic Classification with Federated Learning
نویسندگان
چکیده
منابع مشابه
Extreme learning machines for Internet traffic classification
Network packet transport services (namely the Internet) are subject to significant security issues. This paper aims to apply Machine Learning methods based on Neural Networks (Extreme Learning Machines or ELM) to analyze the Internet traffic in order to detect specific malicious activities. This is performed by classifying traffic for a key service run over the internet: the Domain Name System ...
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The research community has begun looking for IP traffic classification techniques that do not rely on ‘well known’ TCP or UDP port numbers, or interpreting the contents of packet payloads. New work is emerging on the use of statistical traffic characteristics to assist in the identification and classification process. This survey paper looks at emerging research into the application of Machine ...
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Today, smartphone devices are owned by a large portion of the population and have become a very popular platform for accessing the Internet. Smartphones provide the user with immediate access to information and services. However, they can easily expose the user to many privacy risks. Applications that are installed on the device and entities with access to the device's Internet traffic can reve...
متن کاملComparison of Internet Traffic Classification Tools
What is the best traffic classification method to date? Under what conditions? Why? Despite a plethora of research devoted to traffic classification and a variety of proposed traffic classification methods, the research community still does not have definitive answers to these questions, and the task of traffic classification remains unapproachable and confusing for a practitioner. Rigorous com...
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ژورنال
عنوان ژورنال: Electronics
سال: 2020
ISSN: 2079-9292
DOI: 10.3390/electronics10010027