Exploiting the Outcome of Outlier Detection for Novel Attack Pattern Recognition on Streaming Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962454" target="_blank" >RIV/49777513:23520/21:43962454 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/electronics10172160" target="_blank" >https://doi.org/10.3390/electronics10172160</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/electronics10172160" target="_blank" >10.3390/electronics10172160</a>

Result language
angličtina
Original language name
Exploiting the Outcome of Outlier Detection for Novel Attack Pattern Recognition on Streaming Data
Original language description
A framework called Streaming Outlier Analysis and Attack Pattern Recognition, denoted as SOAAPR, is being introduced that, in contrast to the state-of-the-art, is able to process the output of various online unsupervised outlier detection methods in a streaming fashion to extract information about novel attack patterns. Three different privacy-preserving, fingerprint-like signatures are computed from the clustered set of correlated alerts by SOAAPR, which characterize and represent the potential attack scenarios with respect to their communication relations, their manifestation in the data’s features and their temporal behavior. The evaluation on two popular data sets shows that SOAAPR can compete with an offline competitor in terms of alert correlation and outperforms it significantly in terms of processing time. Moreover, in most cases all three types of signatures seem to reliably characterize attack scenarios to the effect that similar ones are grouped together.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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