TY - GEN
T1 - Parallelization of Image Security in Radiology Information Systems
AU - Bohra, Shireen
AU - Poorva, T. M.
AU - Gopalakrishna Kini, N.
AU - Ashwath Rao, B.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - In radiology information systems, “parallelization” of image security refers to the use of cutting-edge computing techniques to increase the effectiveness and speed of medical image security. By using parallel processing capabilities to run security algorithms concurrently, this method guarantees fast encryption, decryption, and authentication for delicate radiological data. Image security protocols can be accelerated and resource utilization optimized in real-time with parallelization, which also provides protection against unauthorized access. This abstraction enhances the overall efficiency of radiology information platforms by enabling the seamless integration of robust security measures without compromising diagnostic workflow. Image security is made more resilient and responsive by the parallelized architecture, which addresses the evolving challenges of safeguarding sensitive medical data in radiological practice.
AB - In radiology information systems, “parallelization” of image security refers to the use of cutting-edge computing techniques to increase the effectiveness and speed of medical image security. By using parallel processing capabilities to run security algorithms concurrently, this method guarantees fast encryption, decryption, and authentication for delicate radiological data. Image security protocols can be accelerated and resource utilization optimized in real-time with parallelization, which also provides protection against unauthorized access. This abstraction enhances the overall efficiency of radiology information platforms by enabling the seamless integration of robust security measures without compromising diagnostic workflow. Image security is made more resilient and responsive by the parallelized architecture, which addresses the evolving challenges of safeguarding sensitive medical data in radiological practice.
UR - https://www.scopus.com/pages/publications/105012924440
UR - https://www.scopus.com/inward/citedby.url?scp=105012924440&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-3420-0_6
DO - 10.1007/978-981-96-3420-0_6
M3 - Conference contribution
AN - SCOPUS:105012924440
SN - 9789819634194
T3 - Smart Innovation, Systems and Technologies
SP - 67
EP - 74
BT - Human-Centric Smart Computing - Proceedings of ICHCSC 2024
A2 - Bhattacharyya, Siddhartha
A2 - Platos, Jan
A2 - Bhattacharyya, Siddhartha
A2 - Banerjee, Jyoti Sekhar
A2 - Köppen, Mario
A2 - Nayak, Somen
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Human-Centric Smart Computing, ICHCSC 2024
Y2 - 25 July 2024 through 26 July 2024
ER -