Publication Details
Network Problem Diagnostics using Typographic Error Correction
computer network errors, network diagnostics, typographic error correction,
end-user data diagnostics
Detecting and correcting network and service availability issues is an essential
part of the network administrator's daily duty. One of the causes of errors can
be the user herself providing incorrect input. The present work describes a new
diagnostic method that detects incorrectly inserted inputs observed in
network-related data, e.g., network traffic, log files. The proposed method aims
to detect incorrect words in domains, login names, or email addresses. First, we
describe how to detect possible incorrect words. For each such detected word,
a list of correct candidates is created based on edit distance. Next, the
correction method selects the best word by scoring candidates based on the
probability of occurrence in the given context. The proposed method was
implemented as a prototype and tested on words created using real user
activities. The evaluation demonstrates that this approach can substantially
reduce the time needed to identify this kind of errors.
@inproceedings{BUT175808,
author="Martin {Holkovič} and Michal {Bohuš} and Ondřej {Ryšavý}",
title="Network Problem Diagnostics using Typographic Error Correction",
booktitle="Proceedings of the 17th International Conference on Network Service Management (CNSM 2021)",
year="2021",
pages="482--490",
publisher="Institute of Electrical and Electronics Engineers",
address="Izmir",
doi="10.23919/CNSM52442.2021.9615525",
isbn="978-3-903176-36-2",
url="https://www.fit.vut.cz/research/publication/12552/"
}