DeepKeyGen: A Deep Learning-Based Stream Cipher Generator for Medical Image Encryption and Decryption
Summary
DeepKeyGen: A Deep Learning-Based Stream Cipher Generator for Medical Image Encryption and Decryption is a scholarly article[1].
Key Facts
DeepKeyGen: A Deep Learning-Based Stream Cipher Generator for Medical Image Encryption and Decryption's instance of is recorded as scholarly article[2].
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). DeepKeyGen: A Deep Learning-Based Stream Cipher Generator for Medical Image Encryption and Decryption. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepkeygen-a-deep-learning-based-stream-cipher-generator-for-medical-image-encryption-and-decryption
MLA“DeepKeyGen: A Deep Learning-Based Stream Cipher Generator for Medical Image Encryption and Decryption.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepkeygen-a-deep-learning-based-stream-cipher-generator-for-medical-image-encryption-and-decryption.
BibTeX@misc{4ortxyz_deepkeygen-a-deep-learning-based-stream-cipher-generator-for-medical-image-encryption-and-decryption_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepKeyGen: A Deep Learning-Based Stream Cipher Generator for Medical Image Encryption and Decryption}}, year = {2026}, url = {https://4ort.xyz/entity/deepkeygen-a-deep-learning-based-stream-cipher-generator-for-medical-image-encryption-and-decryption}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepKeyGen: A Deep Learning-Based Stream Cipher Generator for Medical Image Encryption and Decryption — https://4ort.xyz/entity/deepkeygen-a-deep-learning-based-stream-cipher-generator-for-medical-image-encryption-and-decryption (retrieved 2026-05-24)
