dr inż. Mariusz Dzwonkowski
Zatrudnienie
- Adiunkt w Katedra Sieci Teleinformacyjnych
Kontakt dla biznesu
- Lokalizacja
- Al. Zwycięstwa 27, 80-219 Gdańsk
- Telefon
- +48 58 348 62 62
- biznes@pg.edu.pl
Media społecznościowe
Kontakt
Adiunkt
- Miejsce pracy
-
Budynek A Elektroniki
pokój EA 604 otwiera się w nowej karcie - Telefon
- +48 58 347 11 61
- mariusz.dzwonkowski@pg.edu.pl
Wybrane publikacje
-
A new quaternion-based encryption method for DICOM images
In this paper, a new quaternion-based lossless encryption technique for digital image and communication on medicine (DICOM) images is proposed. We have scrutinized and slightly modified the concept of the DICOM network to point out the best location for the proposed encryption scheme, which significantly improves speed of DICOM images encryption in comparison with those originally embedded into DICOM advanced encryption standard...
-
Secure Quaternion Feistel Cipher for DICOM Images
An improved and extended version of a quaternion-based lossless encryption technique for digital image and communication on medicine (DICOM) images is proposed. We highlight and address several security flaws present in the previous version of the algorithm originally proposed by Dzwonkowski et al. (2015). The newly proposed secure quater- nion Feistel cipher (S-QFC) algorithm...
-
A novel approach exploiting properties of convolutional neural networks for vessel movement anomaly detection and classification
The article concerns the automation of vessel movement anomaly detection for maritime and coastal traffic safety services. Deep Learning techniques, specifically Convolutional Neural Networks (CNNs), were used to solve this problem. Three variants of the datasets, containing samples of vessel traffic routes in relation to the prohibited area in the form of a grayscale image, were generated. 1458 convolutional neural networks with...
wyświetlono 1359 razy