Tuan Nguyen Kim^1,*, Duy Ho Ngoc², Nikolay A. Moldovyan³

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1105-1122, 2022, DOI:10.32604/cmc.2022.025653

Abstract Digital signature schemes are often built based on the difficulty of the discrete logarithm problems, of the problem of factor analysis, of the problem of finding the roots modulo of large primes or a combination of the difficult problems mentioned above. In this paper, we use the new difficult problem, which is to find the root in the finite ground field to build representative collective signature schemes, but the chosen modulo p has a special structure distinct , where is an even number and are prime numbers of equal magnitude, about . The characteristics of the proposed scheme are: i)… More >

Adel Y. I. Ashyap¹, S. Alamri², S. H. Dahlan^1,*, Z. Z. Abidin³, M. Inam Abbasi⁴, Huda A. Majid², M. R. Kamarudin¹, Y. A. Al-Gumaei⁵, M. Hashim Dahri⁶

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1071-1087, 2022, DOI:10.32604/cmc.2022.025636

Abstract For future healthcare in the terahertz (THz) band, a triple-band microstrip planar antenna integrated with metamaterial (MTM) based on a polyimide substrate is presented. The frequencies of operation are 500, 600, and 880 GHz. The triple-band capability is accomplished by etching metamaterial on the patch without affecting the overall antenna size. Instead of a partial ground plane, a full ground plane is used as a buffer to shield the body from back radiation emitted by the antenna. The overall dimension of the proposed antenna is 484 × 484 μm². The antenna's performance is investigated based on different crucial factors, and excellent results are… More >

Yoosef B. Abushark¹, Asif Irshad Khan^1,*, Fawaz Alsolami¹, Abdulmohsen Almalawi¹, Md Mottahir Alam², Alka Agrawal³, Rajeev Kumar⁴, Raees Ahmad Khan³

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1765-1783, 2022, DOI:10.32604/cmc.2022.025604

Abstract Machine learning is a technique that is widely employed in both the academic and industrial sectors all over the world. Machine learning algorithms that are intuitive can analyse risks and respond swiftly to breaches and security issues. It is crucial in offering a proactive security system in the field of cybersecurity. In real time, cybersecurity protects information, information systems, and networks from intruders. In the recent decade, several assessments on security and privacy estimates have noted a rapid growth in both the incidence and quantity of cybersecurity breaches. At an increasing rate, intruders are breaching information security. Anomaly detection, software… More >

Firas Ibrahim AlZobi¹, Ahmad Ali AlZubi^2,*, Kulakov Yurii³, Abdullah Alharbi², Jazem Mutared Alanazi², Sami Smadi¹

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1053-1069, 2022, DOI:10.32604/cmc.2022.025555

Abstract Wireless sensor networks (WSNs) is one of the renowned ad hoc network technology that has vast varieties of applications such as in computer networks, bio-medical engineering, agriculture, industry and many more. It has been used in the internet-of-things (IoTs) applications. A method for data collecting utilizing hybrid compressive sensing (CS) is developed in order to reduce the quantity of data transmission in the clustered sensor network and balance the network load. Candidate cluster head nodes are chosen first from each temporary cluster that is closest to the cluster centroid of the nodes, and then the cluster heads are selected in… More >

Ahmed Althobaiti¹, Abdullah Alhumaidi Alotaibi², Sayed Abdel-Khalek³, Suliman A. Alsuhibany⁴, Romany F. Mansour^5,*

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1921-1938, 2022, DOI:10.32604/cmc.2022.025550

Abstract Latest advancements in the integration of camera sensors paves a way for new Unmanned Aerial Vehicles (UAVs) applications such as analyzing geographical (spatial) variations of earth science in mitigating harmful environmental impacts and climate change. UAVs have achieved significant attention as a remote sensing environment, which captures high-resolution images from different scenes such as land, forest fire, flooding threats, road collision, landslides, and so on to enhance data analysis and decision making. Dynamic scene classification has attracted much attention in the examination of earth data captured by UAVs. This paper proposes a new multi-modal fusion based earth data classification (MMF-EDC)… More >

Phi-Hung Nguyen^1,2,*, Thanh-Tuan Dang³, Kim-Anh Nguyen¹, Hong-Anh Pham¹

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2055-2075, 2022, DOI:10.32604/cmc.2022.025532

Abstract In international trade, exporters prefer to receive payments as quickly as possible, and importers want to make payments as late as possible. In this respect, the payment field, an essential condition for trade transactions, also represents the positions of exporters and importers conflict. In addition, there are many cases in which various variables must be considered rather than only one specific variable representatively affecting payment, particularly in the case of import-export Small and Medium-Sized Enterprises (SMEs) from emerging countries. A selection of proper payment methods can be categorized as a Multi-Criteria Decision-Making (MCDM) issue. Therefore, this study aims to propose… More >

Yousef Ibrahim Daradkeh¹, Volodymyr Gorokhovatskyi², Iryna Tvoroshenko^2,*, Mujahed Al-Dhaifallah³

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1785-1797, 2022, DOI:10.32604/cmc.2022.025499

Abstract The results of the development of the new fast-speed method of classification images using a structural approach are presented. The method is based on the system of hierarchical features, based on the bitwise data distribution for the set of descriptors of image description. The article also proposes the use of the spatial data processing apparatus, which simplifies and accelerates the classification process. Experiments have shown that the time of calculation of the relevance for two descriptions according to their distributions is about 1000 times less than for the traditional voting procedure, for which the sets of descriptors are compared. The… More >

Ibrahim Abunadi¹, Maha M. Althobaiti², Fahd N. Al-Wesabi^3,4, Anwer Mustafa Hilal⁵, Mohammad Medani⁶, Manar Ahmed Hamza^5,*, Mohammed Rizwanullah⁵, Abu Serwar Zamani⁵

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1195-1212, 2022, DOI:10.32604/cmc.2022.025473

Abstract The evolving “Industry 4.0” domain encompasses a collection of future industrial developments with cyber-physical systems (CPS), Internet of things (IoT), big data, cloud computing, etc. Besides, the industrial Internet of things (IIoT) directs data from systems for monitoring and controlling the physical world to the data processing system. A major novelty of the IIoT is the unmanned aerial vehicles (UAVs), which are treated as an efficient remote sensing technique to gather data from large regions. UAVs are commonly employed in the industrial sector to solve several issues and help decision making. But the strict regulations leading to data privacy possibly… More >

Muhammad Irfan^1,*, Nasir Ayub², Faisal Althobiani³, Zain Ali⁴, Muhammad Idrees⁵, Saeed Ullah², Saifur Rahman¹, Abdullah Saeed Alwadie¹, Saleh Mohammed Ghonaim³, Hesham Abdushkour³, Fahad Salem Alkahtani¹, Samar Alqhtani⁶, Piotr Gas⁷

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2141-2158, 2022, DOI:10.32604/cmc.2022.025466

Abstract One of the major concerns for the utilities in the Smart Grid (SG) is electricity theft. With the implementation of smart meters, the frequency of energy usage and data collection from smart homes has increased, which makes it possible for advanced data analysis that was not previously possible. For this purpose, we have taken historical data of energy thieves and normal users. To avoid imbalance observation, biased estimates, we applied the interpolation method. Furthermore, the data unbalancing issue is resolved in this paper by Nearmiss undersampling technique and makes the data suitable for further processing. By proposing an improved version… More >

Mohamed Kayid^*, Tareq Alsayed

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1847-1860, 2022, DOI:10.32604/cmc.2022.025401

Abstract An important property that any lifetime model should satisfy is scale invariance. In this paper, a new scale-invariant quasi-inverse Lindley (QIL) model is presented and studied. Its basic properties, including moments, quantiles, skewness, kurtosis, and Lorenz curve, have been investigated. In addition, the well-known dynamic reliability measures, such as failure rate (FR), reversed failure rate (RFR), mean residual life (MRL), mean inactivity time (MIT), quantile residual life (QRL), and quantile inactivity time (QIT) are discussed. The FR function considers the decreasing or upside-down bathtub-shaped, and the MRL and median residual lifetime may have a bathtub-shaped form. The parameters of the… More >