Ali Saadon Al-Ogaili^1,*, Ameer Alhasan², Agileswari Ramasamy¹, Marayati Binti Marsadek¹, Tengku Juhana Tengku Hashim¹, Ammar Al-Sharaa³, Mastura Binti Aadam³, Lukman Audah²

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 2141-2164, 2021, DOI:10.32604/cmc.2020.013440

Abstract The Coronavirus (COVID-19) pandemic is considered as a global public health challenge. To contain this pandemic, different measures are being taken globally. The Internet of Things (IoT) has been represented as one of the most important schemes that has been considered to fight the spread of COVID-19 in the world, practically Malaysia. In fact, there are many sectors in Malaysia would be transformed into smart services by using IoT technologies, particularly energy, transportation, healthcare sectors. This manuscript presents a comprehensive review of the IoT technologies that are being used currently in Malaysia to accelerate the measures against COVID-19. These IoT… More >

Srinath Doss¹, Jothi Paranthaman², Suseendran Gopalakrishnan³, Akila Duraisamy³, Souvik Pal⁴, Balaganesh Duraisamy⁵, Chung Le Van^6,*, Dac-Nhuong Le⁷

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1577-1594, 2021, DOI:10.32604/cmc.2020.012379

Abstract In the healthcare system, the Internet of Things (IoT) based distributed systems play a vital role in transferring the medical-related documents and information among the organizations to reduce the replication in medical tests. This datum is sensitive, and hence security is a must in transforming the sensational contents. In this paper, an Evolutionary Algorithm, namely the Memetic Algorithm is used for encrypting the text messages. The encrypted information is then inserted into the medical images using Discrete Wavelet Transform 1 level and 2 levels. The reverse method of the Memetic Algorithm is implemented when extracting a hidden message from the… More >

Qin Liu^*, Ruliang Zhang

Energy Engineering, Vol.118, No.1, pp. 173-187, 2021, DOI:10.32604/EE.2020.012788

Abstract With the continuous advancement of economic globalization, energy demand is expanding and energy consumption is excessive, which leads to energy shortage. Unreasonable energy use also brings great challenges to the environment and affects the balance of the ecosystem seriously. The rise of the third industrial revolution has injected new vitality into energy system. The construction of energy Internet system, which integrates Internet technology and energy technology, has become a new energy system of sustainable development. It has put forward the reform scheme for the mismatch of energy demand points and environmental pollution. The deepening of sustainable development strategy accelerates the… More >

Sabeen Tahir^*, Sheikh Tahir Bakhsh, Rayed AlGhamdi

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 733-749, 2021, DOI:10.32604/cmc.2020.013261

Abstract Medical Internet of Things (MIoTs) is a collection of small and energyefficient wireless sensor devices that monitor the patient’s body. The healthcare networks transmit continuous data monitoring for the patients to survive them independently. There are many improvements in MIoTs, but still, there are critical issues that might affect the Quality of Service (QoS) of a network. Congestion handling is one of the critical factors that directly affect the QoS of the network. The congestion in MIoT can cause more energy consumption, delay, and important data loss. If a patient has an emergency, then the life-critical signals must transmit with… More >

Gia Nhu Nguyen^1,2, Nin Ho Le Viet^1,2, Gyanendra Prasad Joshi³, Bhanu Shrestha^4,*

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 551-562, 2021, DOI:10.32604/cmc.2020.012441

Abstract Fog computing in the Internet of Health Things (IoHT) is promising owing to the increasing need for energy- and latency-optimized health sector provisioning. Additionally, clinical data (particularly, medical image data) are a delicate, highly protected resource that should be utilized in an effective and responsible manner to fulfil consumer needs. Herein, we propose an energy-effi- cient fog-based IoHT with a tunicate swarm-optimization-(TSO)-based lightweight Simon cipher to enhance the energy efficiency at the fog layer and the security of data stored at the cloud server. The proposed Simon cipher uses the TSO algorithm to select the optimal keys that will minimize… More >

Abdul Waheed^1,2,*, Naila Habib Khan³, Mahdi Zareei⁴, Shahab Ul Islam⁵, Latif Jan^5,6, Arif Iqbal Umar¹, Ehab Mahmoud Mohamed^7,8

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 359-372, 2021, DOI:10.32604/cmc.2020.012196

Abstract Congestion control is one of the main obstacles in cyberspace traffic. Overcrowding in internet traffic may cause several problems; such as high packet hold-up, high packet dropping, and low packet output. In the course of data transmission for various applications in the Internet of things, such problems are usually generated relative to the input. To tackle such problems, this paper presents an analytical model using an optimized Random Early Detection (RED) algorithm-based approach for internet traffic management. The validity of the proposed model is checked through extensive simulation-based experiments. An analysis is observed for different functions on internet traffic. Four… More >

Fahd N. Al-Wesabi^1,2,*

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 195-211, 2021, DOI:10.32604/cmc.2020.012088

Abstract In this paper, a hybrid intelligent text zero-watermarking approach has been proposed by integrating text zero-watermarking and hidden Markov model as natural language processing techniques for the content authentication and tampering detection of Arabic text contents. The proposed approach known as Second order of Alphanumeric Mechanism of Markov model and Zero-Watermarking Approach (SAMMZWA). Second level order of alphanumeric mechanism based on hidden Markov model is integrated with text zero-watermarking techniques to improve the overall performance and tampering detection accuracy of the proposed approach. The SAMMZWA approach embeds and detects the watermark logically without altering the original text document. The extracted… More >

Weiwen Kong¹, Baowei Wang^1,2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 849-863, 2020, DOI:10.32604/cmes.2020.012818

Abstract Internet of Things (IoT) is a network that connects things in a special union. It embeds a physical entity through an intelligent perception system to obtain information about the component at any time. It connects various objects. IoT has the ability of information transmission, information perception,andinformationprocessing.Theairqualityforecastinghasalways been an urgent problem, which affects people’s quality of life seriously. So far, many air quality prediction algorithms have been proposed, which can be mainly classifed into two categories. One is regression-based prediction, the other is deep learning-based prediction. Regression-based prediction is aimed to make use of the classical regression algorithm and the various… More >

Yinghua Zhang^1,2, Jian Liu¹, Yunfeng Peng¹, Yanfang Dong², Changming Zhao^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 239-257, 2020, DOI:10.32604/cmes.2020.010778

Abstract Aiming for ultra-reliable low-latency wireless communications required in industrial internet of things (IIoT) applications, this paper studies a simple cognitive radio non-orthogonal multiple access (CR-NOMA) downlink system. This system consists of two secondary users (SUs) dynamically interfered by the primary user (PU), and its performance is characterized by the outage probability of the SU communications. This outage probability is calculated under two conditions where, a) the transmission of PU starts after the channel state information (CSI) is acquired, so the base station (BS) is oblivious of the interference, and b) when the BS is aware of the PU interference, and… More >

Weijin Jiang^{1, 2, 3}, Wei Liu^{2, *}, Haolong Xia¹, Yuhui Xu², Dongbo Cao¹, Guo Liang⁴

CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2543-2555, 2020, DOI:10.32604/cmc.2020.011454

Abstract In networked mobile commerce network transactions, trust is the prerequisite and key to a smooth transaction. The measurement of trust between entities involves factors such as transaction amount, transaction time, personal income of consumer entities and their risk attitude towards trust, etc., so it is difficult to accurately calculate quantitatively. In order to find out the essential characteristics of this trust relationship, based on the research background of mobile commerce in the mobile network environment, a dynamic trust mechanism is proposed through the research of trust in the mobile network environment, trust influencing factors and trust mechanism. The calculation model… More >