| Title | Neural Network Based Classification of Attacks on Wireless Sensor Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Desnitsky, Vasily A., Kotenko, Igor V., Parashchuk, Igor B. |
| Conference Name | 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) |
| Keywords | attacks, Cyber-physical systems, Information security, Metrics, Neural Network, Neural Network Security, Neural networks, Neurons, policy-based governance, pubcrawl, Resiliency, security, Sensors, sign, Software, Uncertainty, weights matrix, Wireless sensor networks |
| Abstract | The paper proposes a method for solving problems of classifying multi-step attacks on wireless sensor networks in the conditions of uncertainty (incompleteness and inconsistency) of the observed signs of attacks. The method aims to eliminate the uncertainty of classification of attacks on networks of this class one the base of the use of neural network approaches to the processing of incomplete and contradictory knowledge on possible attack characteristics. It allows increasing objectivity (accuracy and reliability) of information security monitoring in modern software and hardware systems and Internet of Things networks that actively exploit advantages of wireless sensor networks. |
| DOI | 10.1109/EIConRus49466.2020.9039275 |
| Citation Key | desnitsky_neural_2020 |
Neural Network Based Classification of Attacks on Wireless Sensor Networks