R
Rafik Hamza
Researcher at Guangzhou University
Publications - 24
Citations - 852
Rafik Hamza is an academic researcher from Guangzhou University. The author has contributed to research in topics: Encryption & Computer science. The author has an hindex of 10, co-authored 15 publications receiving 578 citations. Previous affiliations of Rafik Hamza include Sonatrach & National Institute of Information and Communications Technology.
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Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption
TL;DR: This paper proposes a fast probabilistic and lightweight algorithm for the encryption of keyframes prior to transmission, considering the memory and processing requirements of constrained devices that increase its suitability for IoT systems.
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A privacy-preserving cryptosystem for IoT E-healthcare
TL;DR: A fast probabilistic cryptosystem to secure medical keyframes that are extracted from wireless capsule endoscopy procedure using a prioritization method and exhibits randomness behavior, which guarantee computational efficiency as well as a highest level of security for the keyframes against various attacks.
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Hash Based Encryption for Keyframes of Diagnostic Hysteroscopy
TL;DR: An image color coding method aimed at increasing the security of keyframes extracted from diagnostic hysteroscopy videos using video summarization using a 2-D logistic map, which relies on mixing and cascading the orbits of the chaotic map in order to generate the stream keys for the encryption algorithm.
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Sensitive and Energetic IoT Access Control for Managing Cloud Electronic Health Records
TL;DR: A sensitive and energetic access control (SE-AC) mechanism is proposed for managing the cloud-hosted EHRs and providing a fine-grained access control even in critical situations, which ensures the confidentiality of the patient’s data.
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A novel sensitive image encryption algorithm based on the Zaslavsky chaotic map
Rafik Hamza,Faiza Titouna +1 more
TL;DR: A novel sensitive encryption scheme to secure the digital images based on the Zaslavsky chaotic map is proposed, which has high sensitivity in plain image and the secret key and can withstand various attacks compared to state-of-the-art methods.