Titlebook: Encrypted Network Traffic Analysis; Aswani Kumar Cherukuri,Sumaiya Thaseen Ikram,Xiao Book 2024 The Editor(s) (if applicable) and The Aut

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https://doi.org/10.1007/978-3-319-13278-5lassification of network flows based on application. A serious challenge in traffic analysis is to extract effective and reliable features. In this chapter, we will discuss the traffic classification based on port-based, flow-based and packet-based features which are widely used in literature. In ad

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https://doi.org/10.1007/978-3-540-69116-7S) are developed to analyse network traffic and identify unauthorised accesses and vulnerable applications. Nowadays, IDS are ineffective against attacks targeted at encrypted protocols because they depend on inspecting payload contents. Therefore, in this chapter we deal with anomaly detection mode

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SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/f/image/320588.jpg

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978-3-031-62908-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Encrypted Network Traffic Analysis978-3-031-62909-9Series ISSN 2191-5768 Series E-ISSN 2191-5776

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https://doi.org/10.1007/978-3-540-69116-7ls developed to defend attacks against encrypted protocols. In this chapter, we will discuss the attacks targeting Secure Socket Shell (SSH) and HyperText Transfer Protocol Secure (HTTPS) protocols and their prevention mechanism on public datasets and their performance.