The quality of DEMs is especially being considered based on the spatial resolution of the created digital models and the type of terrain of the interest area. DEM analysis was performed specifically for LiDAR-based DEMs, as well as a comparison with results obtained using the radar recording method (Shuttle Radar Topography Mission). The application of DEM data for security-sensitive systems requires the fulfillment of security requirements, such as authenticity, integrity, confidentiality, and non-repudiation. For this purpose, the authors have developed a model for non-repudiation and protecting DEM data. The model simulation shows it is possible to detect even the smallest changes made in the transmission or the DEM location, as well as proving the data authenticity and non-repudiation of the sender. DEM data security testing has shown that DEM data is effectively protected from the source of origin to the end entity location.
TY - JOUR
AU - Vulić, Ivan
AU - Borisov, Mirko
AU - Prodanović, Radomir
AU - Rančić, Dejan
AU - Petrović, Vladimir M.
AU - Stankovski, Stevan
AU - Ostojić, Gordana
PY - 2022
UR - https://cer.ihtm.bg.ac.rs/handle/123456789/5393
AB - The quality of DEMs is especially being considered based on the spatial resolution of the created digital models and the type of terrain of the interest area. DEM analysis was performed specifically for LiDAR-based DEMs, as well as a comparison with results obtained using the radar recording method (Shuttle Radar Topography Mission). The application of DEM data for security-sensitive systems requires the fulfillment of security requirements, such as authenticity, integrity, confidentiality, and non-repudiation. For this purpose, the authors have developed a model for non-repudiation and protecting DEM data. The model simulation shows it is possible to detect even the smallest changes made in the transmission or the DEM location, as well as proving the data authenticity and non-repudiation of the sender. DEM data security testing has shown that DEM data is effectively protected from the source of origin to the end entity location.
PB - Switzerland : Multidisciplinary Digital Publishing Institute (MDPI)
T2 - Applied Sciences (Switzerland)
T1 - Protection of Digital Elevation Model - One Approach
VL - 12
IS - 19
SP - 9898
DO - 10.3390/app12199898
ER -
@article{
author = "Vulić, Ivan and Borisov, Mirko and Prodanović, Radomir and Rančić, Dejan and Petrović, Vladimir M. and Stankovski, Stevan and Ostojić, Gordana",
year = "2022",
abstract = "The quality of DEMs is especially being considered based on the spatial resolution of the created digital models and the type of terrain of the interest area. DEM analysis was performed specifically for LiDAR-based DEMs, as well as a comparison with results obtained using the radar recording method (Shuttle Radar Topography Mission). The application of DEM data for security-sensitive systems requires the fulfillment of security requirements, such as authenticity, integrity, confidentiality, and non-repudiation. For this purpose, the authors have developed a model for non-repudiation and protecting DEM data. The model simulation shows it is possible to detect even the smallest changes made in the transmission or the DEM location, as well as proving the data authenticity and non-repudiation of the sender. DEM data security testing has shown that DEM data is effectively protected from the source of origin to the end entity location.",
publisher = "Switzerland : Multidisciplinary Digital Publishing Institute (MDPI)",
journal = "Applied Sciences (Switzerland)",
title = "Protection of Digital Elevation Model - One Approach",
volume = "12",
number = "19",
pages = "9898",
doi = "10.3390/app12199898"
}
Vulić, I., Borisov, M., Prodanović, R., Rančić, D., Petrović, V. M., Stankovski, S.,& Ostojić, G.. (2022). Protection of Digital Elevation Model - One Approach. in Applied Sciences (Switzerland)
Switzerland : Multidisciplinary Digital Publishing Institute (MDPI)., 12(19), 9898.
https://doi.org/10.3390/app12199898
Vulić I, Borisov M, Prodanović R, Rančić D, Petrović VM, Stankovski S, Ostojić G. Protection of Digital Elevation Model - One Approach. in Applied Sciences (Switzerland). 2022;12(19):9898.
doi:10.3390/app12199898 .
Vulić, Ivan, Borisov, Mirko, Prodanović, Radomir, Rančić, Dejan, Petrović, Vladimir M., Stankovski, Stevan, Ostojić, Gordana, "Protection of Digital Elevation Model - One Approach" in Applied Sciences (Switzerland), 12, no. 19 (2022):9898,
https://doi.org/10.3390/app12199898 . .
