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  • Open Access

    ARTICLE

    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 - 24 March 2022

    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 More >

  • Open Access

    ARTICLE

    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 - 24 March 2022

    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… More >

  • Open Access

    ARTICLE

    Cancelable Speaker Identification System Based on Optical-Like Encryption Algorithms

    Safaa El-Gazar1, Walid El-Shafai2,3,*, Ghada El-Banby4, Hesham F. A. Hamed1, Gerges M. Salama1, Mohammed Abd-Elnaby5, Fathi E. Abd El-Samie2,6

    Computer Systems Science and Engineering, Vol.43, No.1, pp. 87-102, 2022, DOI:10.32604/csse.2022.022722 - 23 March 2022

    Abstract Biometric authentication is a rapidly growing trend that is gaining increasing attention in the last decades. It achieves safe access to systems using biometrics instead of the traditional passwords. The utilization of a biometric in its original format makes it usable only once. Therefore, a cancelable biometric template should be used, so that it can be replaced when it is attacked. Cancelable biometrics aims to enhance the security and privacy of biometric authentication. Digital encryption is an efficient technique to be used in order to generate cancelable biometric templates. In this paper, a highly-secure encryption… More >

  • Open Access

    ARTICLE

    QKD in Cloud-Fog Computing for Personal Health Record

    L. Arulmozhiselvan*, E. Uma

    Computer Systems Science and Engineering, Vol.43, No.1, pp. 45-57, 2022, DOI:10.32604/csse.2022.022024 - 23 March 2022

    Abstract Cloud computing is a rapid growing technology which delivers computing services such as servers, storage, database, networking, software and analytics. It has brought a new way to securely store and share information and data with multiple users. When authorized person access these clouds, the released data should not compromise any individual’s privacy and identity should not be revealed. Fog Computing is the extension of cloud with decentralized structure which stores the data in locations somewhere between the data source and cloud. The goal of fog computing is to provide high security, improve performance and network More >

  • Open Access

    ARTICLE

    Encryption with Image Steganography Based Data Hiding Technique in IIoT Environment

    Mahmoud Ragab1,2,3,*, Samah Alshehri4, Hani A. Alhadrami5,6,7, Faris Kateb1, Ehab Bahaudien Ashary8, S. Abdel-khalek9,10

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1323-1338, 2022, DOI:10.32604/cmc.2022.024775 - 24 February 2022

    Abstract Rapid advancements of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) pose serious security issues by revealing secret data. Therefore, security data becomes a crucial issue in IIoT communication where secrecy needs to be guaranteed in real time. Practically, AI techniques can be utilized to design image steganographic techniques in IIoT. In addition, encryption techniques act as an important role to save the actual information generated from the IIoT devices to avoid unauthorized access. In order to accomplish secure data transmission in IIoT environment, this study presents novel encryption with image steganography based… More >

  • Open Access

    ARTICLE

    Multi-dimensional Security Range Query for Industrial IoT

    Abdallah Abdallah1, Ayman A. Aly2, Bassem F. Felemban2, Imran Khan3, Ki-Il Kim4,*

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 157-179, 2022, DOI:10.32604/cmc.2022.023907 - 24 February 2022

    Abstract The Internet of Things (IoT) has allowed for significant advancements in applications not only in the home, business, and environment, but also in factory automation. Industrial Internet of Things (IIoT) brings all of the benefits of the IoT to industrial contexts, allowing for a wide range of applications ranging from remote sensing and actuation to decentralization and autonomy. The expansion of the IoT has been set by serious security threats and obstacles, and one of the most pressing security concerns is the secure exchange of IoT data and fine-grained access control. A privacy-preserving multi-dimensional secure… More >

  • Open Access

    ARTICLE

    Invariant of Enhanced AES Algorithm Implementations Against Power Analysis Attacks

    Nadia Mustaqim Ansari1,*, Rashid Hussain2, Sheeraz Arif3, Syed Sajjad Hussain4

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1861-1875, 2022, DOI:10.32604/cmc.2022.023516 - 24 February 2022

    Abstract The security of Internet of Things (IoT) is a challenging task for researchers due to plethora of IoT networks. Side Channel Attacks (SCA) are one of the major concerns. The prime objective of SCA is to acquire the information by observing the power consumption, electromagnetic (EM) field, timing analysis, and acoustics of the device. Later, the attackers perform statistical functions to recover the key. Advanced Encryption Standard (AES) algorithm has proved to be a good security solution for constrained IoT devices. This paper implements a simulation model which is used to modify the AES algorithm… More >

  • Open Access

    ARTICLE

    Cloud Data Encryption and Authentication Based on Enhanced Merkle Hash Tree Method

    J. Stanly Jayaprakash1, Kishore Balasubramanian2, Rossilawati Sulaiman3, Mohammad Kamrul Hasan3,*, B. D. Parameshachari4, Celestine Iwendi5

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 519-534, 2022, DOI:10.32604/cmc.2022.021269 - 24 February 2022

    Abstract Many organizations apply cloud computing to store and effectively process data for various applications. The user uploads the data in the cloud has less security due to the unreliable verification process of data integrity. In this research, an enhanced Merkle hash tree method of effective authentication model is proposed in the multi-owner cloud to increase the security of the cloud data. Merkle Hash tree applies the leaf nodes with a hash tag and the non-leaf node contains the table of hash information of child to encrypt the large data. Merkle Hash tree provides the efficient… More >

  • Open Access

    ARTICLE

    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 - 08 February 2022

    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 More >

  • Open Access

    ARTICLE

    A Novel Medical Image Encryption Using Rössler System

    K. Sundara Krishnan1,*, Syed Suhaila1, S. P. Raja2

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1081-1101, 2022, DOI:10.32604/iasc.2022.024023 - 08 February 2022

    Abstract The technological advances made possible by the Internet, coupled with the unforeseen critical circumstances set in motion by the Covid-19 pandemic, have greatly increased the generation and transmission of medical images every day. Medical image transmission over an unsecured public network threatens the privacy of sensitive patient information. We have, in this paper, designed a new secure color medical image encryption algorithm based on binary plane decomposition, DNA (deoxyribonucleic acid) computing, and the chaotic Rössler dynamical system. At first, a bit-by-bit swap is performed on twenty four binary planes of the input image and encoded… More >

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