What is it about?
Denial-of-service attacks (DoS) represent an impediment to normal Internet operation and have been so for more than twenty years. With the growth of the Internet the size and frequency of the attacks have grown, too. In this paper we use a well-known statistical method to improve the process of detection of DoS attacks.
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Why is it important?
In the case of DoS attacks, as in many other cases, the reliable and efficient process of detection is a cornerstone of the defense. As DoS attacks evolve, it is important to further develop the detection systems.
Perspectives
For me, this paper offers a new view on a well-known method, as the principal component analysis has been used in network anomaly detection for already some time. This time it is approached in a slightly different way.
Dr Ilija Basicevic
University of Novi Sad
Read the Original
This page is a summary of: On the use of principal component analysis in the entropy based detection of denial‐of‐service attacks, Security and Privacy, October 2021, Wiley,
DOI: 10.1002/spy2.193.
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