|
|
|
|
|
Olga Tushkanova, Diana Levshun, Alexander Branitskiy, Elena Fedorchenko, Evgenia Novikova and Igor Kotenko
Cyberattacks on cyber-physical systems (CPS) can lead to severe consequences, and therefore it is extremely important to detect them at early stages. However, there are several challenges to be solved in this area; they include an ability of the security...
ver más
|
|
|
|
|
|
|
|
|
|
|
Elena Fedorchenko, Evgenia Novikova, Andrey Fedorchenko and Sergei Verevkin
Currently, enhancing the efficiency of vulnerability detection and assessment remains relevant. We investigate a new approach for the detection of vulnerabilities that can be used in cyber attacks and assess their severity for further effective responses...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sergey Golubev, Evgenia Novikova and Elena Fedorchenko
Recently, approaches based on the transformation of tabular data into images have gained a lot of scientific attention. This is explained by the fact that convolutional neural networks (CNNs) have shown good results in computer vision and other image-bas...
ver más
|
|
|
|
|
|
|
|
|
|
|
Elena Fedorchenko, Evgenia Novikova and Anton Shulepov
In order to provide an accurate and timely response to different types of the attacks, intrusion and anomaly detection systems collect and analyze a lot of data that may include personal and other sensitive data. These systems could be considered a sourc...
ver más
|
|
|
|
|
|