A4 Refereed article in a conference publication
Recognizing Dynamic Fields in Network Traffic with a Manually Assisted Solution
Authors: Jarko Papalitsas, Jani Tammi, Sampsa Rauti, Ville Leppänen
Editors: Rocha Á., Adeli H., Reis L., Costanzo S.
Conference name: World Conference on Information Systems and Technologies
Publication year: 2018
Journal: Advances in Intelligent Systems and Computing
Book title : Trends and Advances in Information Systems and Technologies Volume 2
Series title: Advances in Intelligent Systems and Computing
Volume: 746
First page : 208
Last page: 219
ISBN: 978-3-319-77711-5
eISBN: 978-3-319-77712-2
DOI: https://doi.org/10.1007/978-3-319-77712-2_20(external)
Web address : https://doi.org/10.1007/978-3-319-77712-2_20(external)
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/29203940(external)
Payloads of packets transmitted over network contain dynamic fields that represent many kinds of real world objects. In many different applications, there is a need to recognize and sometimes replace these fields. In this paper, we present a manually assisted solution for searching and annotating dynamic fields in message payloads, specifically focusing on web environment. Our tool provides a simple and intuitive graphical user interface for annotating dynamic fields.
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