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  • Open Access


    Hybrid Watermarking and Encryption Techniques for Securing Medical Images

    Amel Ali Alhussan1,*, Hanaa A. Abdallah2, Sara Alsodairi2, Abdelhamied A. Ateya3

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 403-416, 2023, DOI:10.32604/csse.2023.035048

    Abstract Securing medical data while transmission on the network is required because it is sensitive and life-dependent data. Many methods are used for protection, such as Steganography, Digital Signature, Cryptography, and Watermarking. This paper introduces a novel robust algorithm that combines discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) digital image-watermarking algorithms. The host image is decomposed using a two-dimensional DWT (2D-DWT) to approximate low-frequency sub-bands in the embedding process. Then the sub-band low-high (LH) is decomposed using 2D-DWT to four new sub-bands. The resulting sub-band low-high (LH1) is decomposed using 2D-DWT to four new sub-bands.… More >

  • Open Access


    Partially Deep-Learning Encryption Technique

    Hamdy M. Mousa*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 4277-4291, 2023, DOI:10.32604/cmc.2023.034593

    Abstract The biggest problem facing the world is information security in the digital era. Information protection and integrity are hot topics at all times, so many techniques have been introduced to transmit and store data securely. The increase in computing power is increasing the number of security breaches and attacks at a higher rate than before on average. Thus, a number of existing security systems are at risk of hacking. This paper proposes an encryption technique called Partial Deep-Learning Encryption Technique (PD-LET) to achieve data security. PD-LET includes several stages for encoding and decoding digital data. Data preprocessing, convolution layer of… More >

  • Open Access


    Face Templates Encryption Technique Based on Random Projection and Deep Learning

    Mayada Tarek1,2,*

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2049-2063, 2023, DOI:10.32604/csse.2023.027139

    Abstract Cancellable biometrics is the solution for the trade-off between two concepts: Biometrics for Security and Security for Biometrics. The cancelable template is stored in the authentication system’s database rather than the original biometric data. In case of the database is compromised, it is easy for the template to be canceled and regenerated from the same biometric data. Recoverability of the cancelable template comes from the diversity of the cancelable transformation parameters (cancelable key). Therefore, the cancelable key must be secret to be used in the system authentication process as a second authentication factor in conjunction with the biometric data. The… More >

  • Open Access


    Intelligent Optimization-Based Clustering with Encryption Technique for Internet of Drones Environment

    Dalia H. Elkamchouchi1, Jaber S. Alzahrani2, Hany Mahgoub3,4, Amal S. Mehanna5, Anwer Mustafa Hilal6,*, Abdelwahed Motwakel6, Abu Sarwar Zamani6, Ishfaq Yaseen6

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6617-6634, 2022, DOI:10.32604/cmc.2022.031909

    Abstract The recent technological developments have revolutionized the functioning of Wireless Sensor Network (WSN)-based industries with the development of Internet of Things (IoT). Internet of Drones (IoD) is a division under IoT and is utilized for communication amongst drones. While drones are naturally mobile, it undergoes frequent topological changes. Such alterations in the topology cause route election, stability, and scalability problems in IoD. Encryption is considered as an effective method to transmit the images in IoD environment. The current study introduces an Atom Search Optimization based Clustering with Encryption Technique for Secure Internet of Drones (ASOCE-SIoD) environment. The key objective of… More >

  • Open Access


    Blockchain Enabled Optimal Lightweight Cryptography Based Image Encryption Technique for IIoT

    R. Bhaskaran1, R. Karuppathal1, M. Karthick2, J. Vijayalakshmi3, Seifedine Kadry4, Yunyoung Nam5,*

    Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1593-1606, 2022, DOI:10.32604/iasc.2022.024902

    Abstract Industrial Internet of Things (IIoT) and Industry 4.0/5.0 offer several interconnections between machinery, equipment, processes, and personnel in diverse application areas namely logistics, supply chain, manufacturing, transportation, and healthcare. The conventional security-based solutions in IIoT environment get degraded due to the third parties. Therefore, the recent blockchain technology (BCT) can be employed to resolve trust issues and eliminate the need for third parties. Therefore, this paper presents a novel blockchain enabled secure optimal lightweight cryptography based image encryption (BC-LWCIE) technique for industry 4.0 environment. In addition, the BC-LWCIE technique involves the design of an optimal LWC based hash function with… More >

  • Open Access


    Binary Multifold Encryption Technique for Complex Cloud Systems

    N. Ansgar Mary1,*, T. Latha2

    Computer Systems Science and Engineering, Vol.42, No.3, pp. 1199-1213, 2022, DOI:10.32604/csse.2022.022404

    Abstract Data security is a major cloud computing issue due to different user transactions in the system. The evolution of cryptography and cryptographic analysis are regarded domains of current research. deoxyribo nucleic acid (DNA) cryptography makes use of DNA as a sensing platform, which is then manipulated using a variety of molecular methods. Many security mechanisms including knowledge-based authentication, two-factor authentication, adaptive authentication, multifactor authentication and single password authentication have been deployed. These cryptographic techniques have been developed to ensure confidentiality, but most of them are based on complex mathematical calculations and equations. In the proposed approach, a novel and unique… More >

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