Applying Correlation and Regression Analysis Methods for Security Incidents Detection in the Internet of Things

Daria Lavrova; Alexander Pechenkin

doi:10.17762/ijcnis.v7i3.1375

Applying Correlation and Regression Analysis Methods for Security Incidents Detection in the Internet of Things

Authors

Daria Lavrova
Alexander Pechenkin

DOI:

https://doi.org/10.17762/ijcnis.v7i3.1375

Abstract

In this paper, authors propose a complex of correlation-based methods for security incidents detection and investigation in large-scale networks of heterogeneous devices such as Internet of Things. Proposed methods aim to detect both known and unknown attacks in the Internet of Things.

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Published

2015-09-03 — Updated on 2022-04-17

Versions

2022-04-17 (2)
2015-09-03 (1)

How to Cite

Lavrova, D., & Pechenkin, A. (2022). Applying Correlation and Regression Analysis Methods for Security Incidents Detection in the Internet of Things. International Journal of Communication Networks and Information Security (IJCNIS), 7(3). https://doi.org/10.17762/ijcnis.v7i3.1375 (Original work published September 3, 2015)