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Search Results (29)
  • Open Access


    Improved Multileader Optimization with Shadow Encryption for Medical Images in IoT Environment

    Mesfer Al Duhayyim1,*, Mohammed Maray2, Ayman Qahmash2, Fatma S. Alrayes3, Nuha Alshuqayran4, Jaber S. Alzahrani5, Mohammed Alghamdi2,6, Abdullah Mohamed7

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3133-3149, 2023, DOI:10.32604/cmc.2023.032740

    Abstract Nowadays, security plays an important role in Internet of Things (IoT) environment especially in medical services’ domains like disease prediction and medical data storage. In healthcare sector, huge volumes of data are generated on a daily basis, owing to the involvement of advanced health care devices. In general terms, health care images are highly sensitive to alterations due to which any modifications in its content can result in faulty diagnosis. At the same time, it is also significant to maintain the delicate contents of health care images during reconstruction stage. Therefore, an encryption system is required in order to raise… More >

  • Open Access


    Blockchain Merkle-Tree Ethereum Approach in Enterprise Multitenant Cloud Environment

    Pooja Dhiman1, Santosh Kumar Henge1, Sartaj Singh1, Avinash Kaur2, Parminder Singh2,3, Mustapha Hadabou3,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3297-3313, 2023, DOI:10.32604/cmc.2023.030558

    Abstract This research paper puts emphasis on using cloud computing with Blockchain (BC) to improve the security and privacy in a cloud. The security of data is not guaranteed as there is always a risk of leakage of users’ data. Blockchain can be used in a multi-tenant cloud environment (MTCE) to improve the security of data, as it is a decentralized approach. Data is saved in unaltered form. Also, Blockchain is not owned by a single organization. The encryption process can be done using a Homomorphic encryption (HE) algorithm along with hashing technique, hereby allowing computations on encrypted data without the… More >

  • Open Access


    Novel Homomorphic Encryption for Mitigating Impersonation Attack in Fog Computing

    V. Balaji, P. Selvaraj*

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2015-2027, 2023, DOI:10.32604/iasc.2023.029260

    Abstract Fog computing is a rapidly growing technology that aids in pipelining the possibility of mitigating breaches between the cloud and edge servers. It facilitates the benefits of the network edge with the maximized probability of offering interaction with the cloud. However, the fog computing characteristics are susceptible to counteract the challenges of security. The issues present with the Physical Layer Security (PLS) aspect in fog computing which included authentication, integrity, and confidentiality has been considered as a reason for the potential issues leading to the security breaches. In this work, the Octonion Algebra-inspired Non- Commutative Ring-based Fully Homomorphic Encryption Scheme… More >

  • Open Access


    A Secure Multiparty Quantum Homomorphic Encryption Scheme

    Jing-Wen Zhang1, Xiu-Bo Chen1,*, Gang Xu2,3, Heng-Ji Li4, Ya-Lan Wang5, Li-Hua Miao6, Yi-Xian Yang1

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2835-2848, 2022, DOI:10.32604/cmc.2022.029125

    Abstract The significant advantage of the quantum homomorphic encryption scheme is to ensure the perfect security of quantum private data. In this paper, a novel secure multiparty quantum homomorphic encryption scheme is proposed, which can complete arbitrary quantum computation on the private data of multiple clients without decryption by an almost dishonest server. Firstly, each client obtains a secure encryption key through the measurement device independent quantum key distribution protocol and encrypts the private data by using the encryption operator and key. Secondly, with the help of the almost dishonest server, the non-maximally entangled states are pre-shared between the client and… More >

  • Open Access


    Encryption with User Authentication Model for Internet of Medical Things Environment

    K. S. Riya1, R. Surendran2,*, Carlos Andrés Tavera Romero3, M. Sadish Sendil4

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 507-520, 2023, DOI:10.32604/iasc.2023.027779

    Abstract Internet of Medical Things (IoMT) enabled e-healthcare has the potential to greately improve conventional healthcare services significantly. However, security and privacy become major issues of IoMT because of the restricted processing abilities, storage, and energy constraints of the sensors. Therefore, it leads to infeasibility of developing traditional cryptographic solutions to the IoMT sensors. In order to ensure security on sensitive medical data, effective encryption and authentication techniques need to be designed to assure security of the patients and healthcare service providers. In this view, this study designs an effective metaheuristic optimization based encryption with user authentication (EMOE-UA) technique for IoMT… More >

  • Open Access


    A Certificateless Homomorphic Encryption Scheme for Protecting Transaction Data Privacy of Post-Quantum Blockchain

    Meng-Wei Zhang1, Xiu-Bo Chen1, Haseeb Ahmad2, Gang Xu3,4,*, Yi-Xian Yang1

    Journal of Cyber Security, Vol.4, No.1, pp. 29-39, 2022, DOI:10.32604/jcs.2022.027693

    Abstract Blockchain has a profound impact on all areas of society by virtue of its immutability, decentralization and other characteristics. However, blockchain faces the problem of data privacy leakage during the application process, and the rapid development of quantum computing also brings the threat of quantum attack to blockchain. In this paper, we propose a lattice-based certificateless fully homomorphic encryption (LCFHE) algorithm based on approximate eigenvector firstly. And we use the lattice-based delegate algorithm and preimage sampling algorithm to extract part of the private key based on certificateless scheme, which is composed of the private key together with the secret value… More >

  • Open Access


    Secure Multi-Party Quantum Summation Based on Quantum Homomorphic Encryption

    Gang Xu1,2, Fan Yun1, Xiu-Bo Chen3,*, Shiyuan Xu1, Jingzhong Wang1, Tao Shang4, Yan Chang5, Mianxiong Dong6

    Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 531-541, 2022, DOI:10.32604/iasc.2022.028264

    Abstract Secure multi-party computation has been playing a fundamental role in terms of classical cryptography. Quantum homomorphic encryption (QHE) could compute the encrypted data without decryption. At present, most protocols use a semi-honest third party (TP) to protect participants’ secrets. We use a quantum homomorphic encryption scheme instead of TP to protect the privacy of parties. Based on quantum homomorphic encryption, a secure multi-party quantum summation scheme is proposed in which N participants can delegate a server with strong quantum computing power to assist computation. By delegating the computation and key update processes to a server and a semi-honest key center,… More >

  • Open Access


    Preserving Data Confidentiality in Association Rule Mining Using Data Share Allocator Algorithm

    D. Dhinakaran1,*, P. M. Joe Prathap2

    Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1877-1892, 2022, DOI:10.32604/iasc.2022.024509

    Abstract These days, investigations of information are becoming essential for various associations all over the globe. By and large, different associations need to perform information examinations on their joined data sets. Privacy and security have become a relentless concern wherein business experts do not desire to contribute their classified transaction data. Therefore, there is a requirement to build a proficient methodology that can process the broad mixture of data and convert those data into meaningful knowledge to the user without forfeiting the security and privacy of individuals’ crude information. We devised two unique protocols for frequent mining itemsets in horizontally partitioned… More >

  • Open Access


    Verifiable Privacy-Preserving Neural Network on Encrypted Data

    Yichuan Liu1, Chungen Xu1,*, Lei Xu1, Lin Mei1, Xing Zhang2, Cong Zuo3

    Journal of Information Hiding and Privacy Protection, Vol.3, No.4, pp. 151-164, 2021, DOI:10.32604/jihpp.2021.026944

    Abstract The widespread acceptance of machine learning, particularly of neural networks leads to great success in many areas, such as recommender systems, medical predictions, and recognition. It is becoming possible for any individual with a personal electronic device and Internet access to complete complex machine learning tasks using cloud servers. However, it must be taken into consideration that the data from clients may be exposed to cloud servers. Recent work to preserve data confidentiality has allowed for the outsourcing of services using homomorphic encryption schemes. But these architectures are based on honest but curious cloud servers, which are unable to tell… More >

  • Open Access


    Improved Homomorphic Encryption with Optimal Key Generation Technique for VANETs

    G. Tamilarasi1,*, K. Rajiv Gandhi2, V. Palanisamy1

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1273-1288, 2022, DOI:10.32604/iasc.2022.024687

    Abstract In recent years, vehicle ad hoc networks (VANETs) have garnered considerable interest in the field of intelligent transportation systems (ITS) due to the added safety and preventive measures for drivers and passengers. Regardless of the benefits provided by VANET, it confronts various challenges, most notably in terms of user/message security and privacy. Due to the decentralised nature of VANET and its changeable topologies, it is difficult to detect rogue or malfunctioning nodes or users. Using an improved grasshopper optimization algorithm (IGOA-PHE) technique in VANETs, this research develops a new privacy-preserving partly homomorphic encryption with optimal key generation. The suggested IGOA-PHE… More >

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