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An adaptive approach for securing patient data in intellectual disability care with 8D Hyperchaotic DNA encryption and IWT

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BIOMEDICAL SIGNAL PROCESSING AND CONTROL 2025年 100卷

作者： Anisha, J. R. Teen, Y. P. Arul Univ Coll Engn Nagercoil Tamil Nadu India

Intellectual disability (ID) is a neurodevelopmental disease characterized by significant intellectual and adaptive functioning impairments. Continuous monitoring and data collection are crucial for managing this condition. To collect patient's skin temperature data, doctors and caretakers often use thermal IR imaging, and they must securely share this information. To address privacy concerns and ensure robust encryption during data transmission, this study introduces an adaptive encryption algorithm that operates in both frequency and spatial domains. The algorithm counteracts various security threats, including plain text attacks, differential attacks, brute force attacks, and cropping attacks. The core of this research is the 8D Hyperchaotic DNA encryption algorithm, which enhances security by combining block scrambling with DNA coding. Security is further optimized through integrating the Integer Wavelet Transform (IWT) in the frequency domain and a DNA sequence in the spatial domain. The encryption process aims to balance security and computational efficiency, ensuring reliable performance. Extensive testing and validation against multiple types of attacks show the algorithm's effectiveness and reliability in practical applications. Experimental results show that the proposed system significantly enhances security against various attacks, thus setting a higher standard for encryption in biomedical image and signal processing. This algorithm shows potential for broader applications beyond intellectual disability care, including secure data transmission in medical imaging, financial transactions, and confidential communications, because of its robust encryption capabilities and adaptability to different data types.

关键词： Sensitive patient data encryption algorithm 8D Hyperchaotic DNA encryption Data security Data privacy Integer wavelet transform (IWT) DNA coding

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Redistributed invariant redundant fractional wavelet transform and its application in watermarking algorithm

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EXPERT SYSTEMS WITH APPLICATIONS 2025年 262卷

作者： Wei, Deyun Deng, Yang Xidian Univ Sch Math & Stat Xian Peoples R China

In this paper, we introduce an invariant wavelet transform with multiple parameters in fractional domain and apply it to watermarking algorithm. First, we propose a new transform called redistributed invariant redundant fractional wavelet transform (RI-RFrWT) based on redistributed invariant integer wavelet transform (RI-IWT) and redundant fractional wavelet transform (RFrWT) which implements the extension of RI-IWT in the fractional domain. When the transform order of RI-RFrWT is 0, it degenerates to RI-IWT and has invariance. Second, RIRFrWT is applied to the proposed optimized watermarking algorithm. This algorithm solves the problem that it is difficult for existing algorithms to show high robustness under both geometric and noise attacks. Third, a secure encryption algorithm based on Logisitic-adjusted-Sine map (LASM) and generalized Arnold transform (GAT) is designed to encrypt the information of watermark. Highly sensitive LASM and multi-parameter GAT improve the security of the watermarking algorithm. To improve the invisibility and robustness of the algorithm, particle swarm optimization (PSO) is also used to simultaneously improve the order of RI-RFrWT and embedding strength. Last, the simulation results demonstrate that the proposed watermarking method outperforms high invisibility, robustness and security. Compared with the relevant literature, it has obvious advantages in invisibility and resistance to geometric attacks and noise attacks.

关键词： Invariant wavelet transform Fractional wavelet transform encryption algorithm Watermarking algorithm Chaos

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Blockchain-based optimization of operation and trading among multiple microgrids considering market fairness

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2025年 166卷

作者： Liu, Hao Lu, Tianguang Yang, Yueping Guo, Yu Wu, Qinzheng Xu, Xiaotong Zeng, Haibing Shandong Univ Sch Elect & Engn Jinan 250061 Peoples R China Ningbo Power Supply Co State Grid Corp China Ningbo 315000 Peoples R China

The microgrid (MG) provides a viable pathway for integrating distributed energy resources (DERs). With the development of the electricity market, the current challenge lies in guiding DERs to enter the market correctly and establishing a fair and equitable market order. In this paper, a virtual power plant (VPP) model is established by aggregating multi-microgrids (MMGs) with an architecture that combines centralized management of the VPP and blockchain-based decentralized transactions between MGs. Market transactions increase the complexity of energy interactions between MGs in the VPP and generate a significant amount of associated data, thereby imposing higher demands on the fairness of transactions and data privacy. In this regard, a blockchain-based optimization method for the operation and trading among MMGs is developed. We design a priority-based bilateral auction model and introduce a malicious bid penalty mechanism to ensure the orderliness of energy interactions between different MGs. To ensure the privacy of transaction prices, a cryptographic algorithm based on Pedersen commitment is proposed, allowing the upper VPP to supervise the legality of electricity settlements under private prices. In the case study, the proposed model is solved by the Equilibrium Optimizer and CPLEX solver. The results show that the proposed method performs well in reducing costs, restraining malicious bids, and protecting price privacy, which is conducive to the healthy development of the electricity market.

关键词： Multi-microgrids Virtual power plant Blockchain Trading mechanism Market fairness encryption algorithm

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Efficient privacy-preserving online medical pre-diagnosis based on blockchain

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JOURNAL OF SUPERCOMPUTING 2025年第1期81卷 1-21页

作者： Zhou, Sufang Fan, Jianing Yuan, Ke Du, Xiaoyu Jia, Chunfu Henan Univ Sch Comp & Informat Engn Kaifeng 475004 Peoples R China Henan Univ Henan Prov Engn Res Ctr Spatial Informat Proc Kaifeng 475004 Peoples R China Nankai Univ Coll Cybersecur Tianjin 300350 Peoples R China

This paper proposes an online medical pre-diagnosis scheme based on blockchain. It mainly focuses on the problems faced in the medical diagnosis scheme nowadays, such as the huge scale of medical treatment, the lack of data sharing, the impossibility of pursuing responsibility, etc., and constructs a safe and reliable online medical diagnosis scheme by using the characteristics of blockchain technology, such as traceability, decentralization, and openness and transparency. In this paper, the existing homomorphic encryption algorithm is first improved, and the algorithm homomorphism is utilized to generate a public key, which is able to diagnose the data in an encrypted state and ensure the security of the private key. When storing medical data, the original medical data are stored with the help of IPFS file system, and the hash value of medical records is chosen to be stored on the blockchain, which realizes the openness, transparency, and traceability of the data, which can effectively protect the privacy of the data, and also realize the effective pursuit of medical accidents. The specific security analysis, functional comparison, and performance analysis of the scheme further demonstrate that the scheme can safely and efficiently execute online medical pre-diagnosis programs.

关键词： Privacy protection encryption algorithm Blockchain Medical diagnosis

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Privacy protection technology in e-commerce based on dilated convolution network model

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JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2025年第1期25卷 54-66页

作者： Huang, Furong Shaoxing Univ Shangyu Coll Room 504Bldg 10Baiguan St Shaoxing 312300 Zhejiang Peoples R China

This paper aims to investigate and advance the privacy protection techniques within the e-commerce domain by leveraging the dilated convolutional network (DCN) model. It endeavors to elevate the safeguarding of user data privacy to a higher level of security. The study introduces a privacy protection methodology grounded on the DCN model. Firstly, it delves into an analysis of the threats and attack vectors concerning privacy security in e-commerce settings. Subsequently, it devises a network model integrating DCN, attention mechanism, and gating mechanism, tailored to fortify the privacy of user data. Additionally, the paper incorporates advanced technologies such as differential privacy and encryption algorithms to augment the data's privacy protection capabilities. Finally, this paper uses the actual e-commerce dataset for experimental evaluation and compares the method proposed in this paper with other common privacy protection methods. The experimental results show that (1) the privacy protection technology based on the DCN model proposed in this paper has obvious advantages in reconstruction error, information utilization efficiency, and model efficiency. (2) The overall performance (accuracy, recall, and F1 value) of the privacy protection technology based on the DCN model proposed in this paper is better than that of the comparison method. The experimental findings outlined above underscore the promising potential and advantages of the DCN model in enhancing privacy protection within e-commerce platforms. This paper presents a robust privacy protection technology tailored for e-commerce platforms, which serves to bolster user trust and elevate the overall level of data privacy protection.

关键词： e-commerce dilated convolutional network privacy protection differential privacy encryption algorithm

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Implementation of a block cipher algorithm for medical information security on cloud environment: using modified advanced encryption standard approach

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MULTIMEDIA TOOLS AND APPLICATIONS 2023年第13期82卷 20537-20551页

作者： Adeniyi, A. E. Abiodun, K. M. Awotunde, J. B. Olagunju, M. Ojo, O. S. Edet, N. P. Precious Cornerstone Univ Dept Comp Sci Ibadan Oyo State Nigeria Landmark Univ SDG 4 Qual Educ Grp Omu Aran Nigeria Landmark Univ SDG 9 Ind Innovat & Infrastruct Res Grp Omu Aran Nigeria Landmark Univ Dept Comp Sci Omu Aran Kwara State Nigeria Univ Ilorin Dept Comp Sci Ilorin Kwara State Nigeria Fed Univ Oye Ekiti Dept Comp Sci Oye Ekiti State Nigeria Ajayi Crowther Univ Dept Comp Sci Oyo Nigeria

The need of keeping medical information safe and secure stems from the fact that doctors rely on it to make accurate diagnoses. If this information is altered in any way, no matter how minor, there is a risk of an inaccurate diagnosis, which could result in severe medical issues and death. The transition from paper to electronic health records (EHRs) has considerably improved patient care quality and efficiency. However, for many healthcare service providers, it has extended the attack surface. Because of the value of a patient's medical information, this has posed a threat to both patients and healthcare providers. When security is not taken into account in healthcare systems, patients' privacy is jeopardized. The intended solution to this challenge is to create a modified AES algorithm to secure patient medical information. Although, the AES algorithm is secure, however, there is always a need for improvement on any cryptographic algorithms in terms of computational cost. This study implements AES and modified the last round of the AES and their performance has been measured by scrambling input datasets of various contents and volumes. The experimental results show that modified AES outperforms AES algorithms in terms of encryption time while AES outperform modified AES in terms of decryption time. Also, the Avalanche effect results revealed that modified AES has a higher avalanche effect for small-size files while a smaller avalanche effect for larger file sizes. This signifies that modified AES security is stronger for a small size file while conventional AES has higher security for larger file sizes. The average encryption time of the AES algorithm for text files is 1513.3ms while the modified AES average encryption time gives 1293.837ms. The average decryption time for conventional AES is 1289.627ms while the average decryption time for modified AES give 1400.136ms. Modified AES uses lesser time complexity during the encryption of all categories of data files

关键词： encryption algorithm AES Medical information Cloud Security

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encryption of accounting data using DES algorithm in computing environment

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2020年第4期39卷 5085-5095页

作者： Wu, Yanhong Dai, Xiuqing Guangdong Ocean Univ Coll Management Cunjin Coll Zhanjiang 524094 Guangdong Peoples R China

The more and more developed network has caused more and more impact on people's life and work, providing convenient channels for people's information exchange, and then improving people's living and working conditions. However, when data is transmitted through the network, there are hidden security risks, especially important accounting data. Once intercepted and used by criminals, it may cause serious harm to the owner of the data. Based on the above background, the purpose of this article is to study the use of the DES algorithm to encrypt accounting data in a computing environment. This paper proposes an improved quantum genetic algorithm and applies it to the S-box design of the DES algorithm, which improves the non-linearity of the S-box, reduces the differential uniformity, and enhances the security of the DES algorithm. This improved DES algorithm reduces the number of iterations by increasing the key length and iterative processing using a two-round function, which further increases the security of the algorithm and improves the operation speed of the encryption process. It is found that the 64 ciphertexts of the DES algorithm and the number of changed bits compared to the original ciphertext fluctuates around 32 bits, which explains the problems that should be paid attention to when using the DES algorithm to encrypt accounting data. The validity of key characters should be guaranteed to prevent key loss or leakage. Shorter data encryption regular solution.

关键词： DES algorithm accounting data data encryption encryption algorithm

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Charging wireless sensor network security technology based on encryption algorithms and dynamic model

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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2020年第3期16卷 1-10页

作者： Li, Yuanming Guo, Wei Meng, Xuejun Xia, Wen State Key Lab Astronaut Dynam Xian 710043 Shaanxi Peoples R China China Xian Satellite Control Ctr Xian Shaanxi Peoples R China

With the popularization of the Internet, the related information technology is developing faster and faster, and the scale and complexity of the network are also increasing. Wireless networks cover all aspects of life, along with it, network security issues have gradually emerged. In recent years, network security vulnerabilities have been exposed continuously, from WiFi to Bluetooth, people gradually realize the security of wireless networks. The purpose of this article is to solve the existing security problems and study the operation process of RC4 and Advanced encryption Standard algorithms, and the improvement scheme is put forward. This article is based on the inherent media access control address filtering technology of wireless network card;a dynamic security model for wireless networks is proposed and constructed. Devices accessing the network use 802.1x authentication method and distribute and set security status values for each device, the authentication server uses Remote Authentication Dial in User Service. This article uses the method of virtual private network encryption network to provide an encryption layer for communication between devices and wireless networks, thus, the data in network transmission can be encrypted and protected. In this article, the structure and strategy of Remote Authentication Dial in User Service are changed, in order to ensure the high security of wireless network equipment in the connection process. In the testing phase of this article, we have tested the model in detail several times. Tests are divided into middleman and session interception tests. A large number of test results show that this model can improve the security of wireless network and has good performance.

关键词： Wireless network encryption algorithm dynamic security model network security

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A COMPUTER PACKAGE FOR MEASURING THE STRENGTH OF encryption algorithmS

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COMPUTERS & SECURITY 1994年第8期13卷 687-697页

作者： GUSTAFSON, H DAWSON, E NIELSEN, L CAELLI, W QUEENSLAND UNIV TECHNOL FAC INFORMAT TECHNOLINFORMAT SEC RES CTRBRISBANEQLD 4001AUSTRALIA

Designers and users of encryption algorithms used in cipher systems need a systematic approach in examining their ciphers prior to use, to ensure that they are safe from crypt-analytic attack. This paper describes a c... 详细信息

关键词： encryption algorithm DES algorithm BLOCK CIPHER STREAM CIPHER BLACK BOX ANALYSIS

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Analysis of some recently proposed chaos-based encryption algorithms

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PHYSICS LETTERS A 2001年第6期291卷 381-384页

作者： Jakimoski, G Kocarev, L Univ Calif San Diego Inst Nonlinear Sci La Jolla CA 92093 USA

We analyze the security and performance of two recently proposed encryption algorithms designed using deterministic chaotic dynamical systems. The analysis shows not only that the encryption rates of these algorithms are not competitive to the encryption rates of the standard algorithms, but that the algorithms can be easily broken using known-plaintext attack. (C) 2001 Elsevier Science B.V. All rights reserved.

关键词： chaos cryptography encryption algorithm cryptanalysis

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