Deep self-learning based dynamic secret key generation for novel secure and efficient hashing algorithm

Ullah, Fasee; Pun, Chi‐Man

doi:10.1016/j.ins.2023.02.007

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…The Common Hash function will also be directly called the Hash function in this work. The Secure Hash Algorithm (SHA) is the most popular Hash function, and it is based on the Message-Digest Algorithm 4 (MD4) and Message-Digest Algorithm 5 (MD5) [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Distributed Diagnoses Based on Constructing a Private Chain via a Public Network

Li,

Zhan

2023

Entropy

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Secure online consultations can provide convenient medical services to patients who require experts from different regions. Moreover, this process can save time, which is critical in emergency cases, and cut medical costs. However, medical services need a high level of privacy protection that advances the difficulty of a construction method. It is a good idea to construct a virtual private chain through public networks by means of cryptology and identity verification. For this purpose, novel protocols are proposed to finish the package layout, secure transmission, and authorization. By mining the special characteristics of this application, two different kinds of encryption channels were designed to support the proposed protocol to ensure the secure transmission of data. And Hash values and multiple checking were employed in the transmission package to find the incompleteness of data related to network errors or attacks. Besides the secure communication of medical information, the Extended Chinese Remainder Theorem was utilized to finish the approval during a change in committee in emergency situations. Finally, example case was used to verify the effectiveness of the total methods.

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Section: Introductionmentioning

confidence: 99%

Distributed Diagnoses Based on Constructing a Private Chain via a Public Network

Li,

Zhan

2023

Entropy

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HIDE-Healthcare IoT Data Trust ManagEment: Attribute centric intelligent privacy approach

Ullah

Pun

Kaiwartya

et al. 2023

Future Generation Computer Systems

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Guided Hash Algorithm for Information Semantic Retrieval in Multimedia Environment

Zhao

2024

IEEE Access

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With technological progress, how to efficiently process and retrieve large amounts of multimodal multimedia data has become a challenge. Although multi-modal hash algorithms have been applied in this field, their performance potential has not been fully realized. To fully leverage the performance of the model, a supervised discrete multimodal hash algorithm has been proposed to improve the efficiency of multimodal retrieval. The adaptive online multi-modal hash algorithm is used to dynamically adapt to changes in query samples. The topological semantic multi-modal hash algorithm is applied to further improve the retrieval performance of multi-modal hashes. According to the results, in the MIR Flickr dataset, the Mean Average Precision (MAP) reaches 0.8048, 0.8155, and 0.8185 at 32-bit, 64bit, and 128-bit, respectively. Fusion Graph Convolutional Multimodal Hashing (FGCMH) exhibits the bestin different datasets. From this, the designed method has high processing power in handling large-scale and high-dimensional multimedia data.

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Deep self-learning based dynamic secret key generation for novel secure and efficient hashing algorithm

Cited by 3 publications

References 32 publications

Distributed Diagnoses Based on Constructing a Private Chain via a Public Network

Distributed Diagnoses Based on Constructing a Private Chain via a Public Network

HIDE-Healthcare IoT Data Trust ManagEment: Attribute centric intelligent privacy approach

Guided Hash Algorithm for Information Semantic Retrieval in Multimedia Environment

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