Osama S. Faragallah^1,*, Mahmoud Farouk², Hala S. El-Sayed³

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3025-3037, 2022, DOI:10.32604/cmc.2022.019951

Abstract This paper answers three essential questions for audio speech cryptosystems in time and discrete transform domains. The first question is, what are the best values of sub-keys that must be used to get the best quality and security for the audio cryptosystem in time and discrete transform domains. The second question is the relation between the number of sub-keys, the number of secret keys used, and the audio speech signal block’s size. Finally, how many possible secret keys can be used to get the best quality and security results for the audio speech cryptosystem in time and discrete transform domains.… More >

Osama S. Faragallah^1,*, Ashraf Afifi¹, Ibrahim F. Elashry², Ensherah A. Naeem³, Heba M. El-Hoseny⁴, Ahmed I. Sallam⁵, Hala S. El-sayed⁶

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3651-3663, 2022, DOI:10.32604/cmc.2022.019827

Abstract In the last few years, videos became the most common form of information transmitted over the internet, and a lot of the traffic is confidential and must be protected and delivered safely to its intended users. This introduces the challenges of presenting encryption systems that can encode videos securely and efficiently at the same time. This paper presents an efficient opto-video encryption system using Logistic Adjusted Sine map (LASM) in the Fractional Fourier Transform (FrFT). In the presented opto-video LASM-based FrFT scheme, the encoded video is split into distinct frames and transformed into optical signals utilizing an optical supply. Each… More >

Harsh Goud¹, Prakash Chandra Sharma², Kashif Nisar^3,7,*, Muhammad Reazul Haque⁴, Ag. Asri Ag. Ibrahim³, Narendra Singh Yadav², Pankaj Swarnkar⁵, Manoj Gupta⁶, Laxmi Chand⁶

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3481-3492, 2022, DOI:10.32604/cmc.2022.019764

Abstract Robots in the medical industry are becoming more common in daily life because of various advantages such as quick response, less human interference, high dependability, improved hygiene, and reduced aging effects. That is why, in recent years, robotic aid has emerged as a blossoming solution to many challenges in the medical industry. In this manuscript, meta-heuristics (MH) algorithms, specifically the Firefly Algorithm (FF) and Genetic Algorithm (GA), are applied to tune PID controller constraints such as Proportional gain Kp Integral gain Ki and Derivative gain Kd. The controller is used to control Mobile Robot System (MRS) at the required set… More >

Amjad Rehman¹, Majid Harouni^2,*, Maedeh Omidiravesh³, Suliman Mohamed Fati¹, Saeed Ali Bahaj⁴

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3369-3383, 2022, DOI:10.32604/cmc.2022.016410

Abstract Biometric-based authentication systems have attracted more attention than traditional authentication techniques such as passwords in the last two decades. Multiple biometrics such as fingerprint, palm, iris, palm vein and finger vein and other biometrics have been introduced. One of the challenges in biometrics is physical injury. Biometric of finger vein is of the biometrics least exposed to physical damage. Numerous methods have been proposed for authentication with the help of this biometric that suffer from weaknesses such as high computational complexity and low identification rate. This paper presents a novel method of scattering wavelet-based identity identification. Scattering wavelet extracts image… More >

Fadhil Mukhlif^1,*, Norafida Ithnin¹, Omar B. Abdulghafoor², Faiz Alotaibi³, Nourah Saad Alotaibi⁴

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1561-1578, 2022, DOI:10.32604/cmc.2022.026074

Abstract With the help of network densification, network coverage as well as the throughput can be improved via ultra-dense networks (UDNs). In tandem, Unmanned Aerial Vehicle (UAV) communications have recently garnered much attention because of their high agility as well as widespread applications. In this paper, a cognitive UAV is proposed for wireless nodes power pertaining to the IoT ground terminal. Further, the UAV is included in the IoT system as the source of power for the wireless nodes as well as for resource allocation. The quality of service (QoS) related to the cognitive node was considered as a utility function… More >

Ali E. Takieldeen¹, El-Sayed M. El-kenawy^1,2, Mohammed Hadwan^3,4,5,*, Rokaia M. Zaki^6,7

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1465-1481, 2022, DOI:10.32604/cmc.2022.026026

Abstract Dipper throated optimization (DTO) algorithm is a novel with a very efficient metaheuristic inspired by the dipper throated bird. DTO has its unique hunting technique by performing rapid bowing movements. To show the efficiency of the proposed algorithm, DTO is tested and compared to the algorithms of Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), Grey Wolf Optimizer (GWO), and Genetic Algorithm (GA) based on the seven unimodal benchmark functions. Then, ANOVA and Wilcoxon rank-sum tests are performed to confirm the effectiveness of the DTO compared to other optimization techniques. Additionally, to demonstrate the proposed algorithm's suitability for solving complex… More >

Mahmoud Ragab^1,2,3,*, Ali Altalbe¹

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1579-1592, 2022, DOI:10.32604/cmc.2022.025828

Abstract Due to the drastic increase in the number of critical infrastructures like nuclear plants, industrial control systems (ICS), transportation, it becomes highly vulnerable to several attacks. They become the major targets of cyberattacks due to the increase in number of interconnections with other networks. Several research works have focused on the design of intrusion detection systems (IDS) using machine learning (ML) and deep learning (DL) models. At the same time, Blockchain (BC) technology can be applied to improve the security level. In order to resolve the security issues that exist in the critical infrastructures and ICS, this study designs a… More >

Hojin Kang¹, Syed Asmat Ali Shah², HyungWon Kim^1,*

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2127-2139, 2022, DOI:10.32604/cmc.2022.025798

Abstract This paper presents an energy efficient architecture for successive approximation register (SAR) analog to digital converter (ADC). SAR ADCs with a capacitor array structure have been widely used because of its simple architecture and relatively high speed. However, conventional SAR ADCs consume relatively high energy due to the large number of capacitors used in the capacitor array and their sizes scaled up along with the number of bits. The proposed architecture reduces the energy consumption as well as the capacitor size by employing a new array architecture that scales down the reference voltages instead of scaling up the capacitor sizes.… More >

Adel D. Rajab^*

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2077-2092, 2022, DOI:10.32604/cmc.2022.025736

Abstract In the Internet of Things (IoT)-based smart city applications, employing the Data Collectors (DC) as the data brokers between the nodes and Base Station (BS) can be a promising solution to enhance the energy efficiency of energy-constrained IoT sensor nodes. There are several schemes that utilize mobile DCs to collect the data packets from sensor nodes. However, moving DCs along the hundreds of thousands of sensors sparsely distributed across a smart city is considered a design challenge in such schemes. Another concern lies in how these mobile DCs are being powered. Therefore, to overcome these limitations, we exploit multiple energy-limited… More >

Maissa A. Al Metrik^*, Dhiaa A. Musleh

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1427-1444, 2022, DOI:10.32604/cmc.2022.025722

Abstract Electricity, being the most efficient secondary energy, contributes for a larger proportion of overall energy usage. Due to a lack of storage for energy resources, over supply will result in energy dissipation and substantial investment waste. Accurate electricity consumption prediction is vital because it allows for the preparation of potential power generation systems to satisfy the growing demands for electrical energy as well as: smart distributed grids, assessing the degree of socioeconomic growth, distributed system design, tariff plans, demand-side management, power generation planning, and providing electricity supply stability by balancing the amount of electricity produced and consumed. This paper proposes… More >