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  • Open Access

    ARTICLE

    MMALE—A Methodology for Malware Analysis in Linux Environments

    José Javier de Vicente Mohino1, Javier Bermejo Higuera1, Juan Ramón Bermejo Higuera1, Juan Antonio Sicilia Montalvo1,*, Manuel Sánchez Rubio1, José Javier Martínez Herraiz2

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1447-1469, 2021, DOI:10.32604/cmc.2021.014596

    Abstract In a computer environment, an operating system is prone to malware, and even the Linux operating system is not an exception. In recent years, malware has evolved, and attackers have become more qualified compared to a few years ago. Furthermore, Linux-based systems have become more attractive to cybercriminals because of the increasing use of the Linux operating system in web servers and Internet of Things (IoT) devices. Windows is the most employed OS, so most of the research efforts have been focused on its malware protection rather than on other operating systems. As a result, hundreds of research articles, documents,… More >

  • Open Access

    ARTICLE

    Machine Learning-Enabled Power Scheduling in IoT-Based Smart Cities

    Nabeela Awan1, Salman Khan2, Mohammad Khalid Imam Rahmani3, Muhammad Tahir3, Nur Alam MD4,*, Ryan Alturki5, Ihsan Ullah6

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2449-2462, 2021, DOI:10.32604/cmc.2021.014386

    Abstract Recent advancements in hardware and communication technologies have enabled worldwide interconnection using the internet of things (IoT). The IoT is the backbone of smart city applications such as smart grids and green energy management. In smart cities, the IoT devices are used for linking power, price, energy, and demand information for smart homes and home energy management (HEM) in the smart grids. In complex smart grid-connected systems, power scheduling and secure dispatch of information are the main research challenge. These challenges can be resolved through various machine learning techniques and data analytics. In this paper, we have proposed a particle… More >

  • Open Access

    ARTICLE

    E-Commerce Supply Chain Process Optimization Based on Whole-Process Sharing of Internet of Things Identification Technology

    Shiyan Xu1, Jun Chen2,*, Maoguo Wu2, Chenyang Zhao2

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.2, pp. 843-854, 2021, DOI:10.32604/cmes.2021.014265

    Abstract With in-depth development of the Internet of Things (IoT) in various industries, the informatization process of various industries has also entered the fast lane. This article aims to solve the supply chain process problem in e-commerce, focusing on the specific application of Internet of Things technology in e-commerce. Warehousing logistics is an important link in today’s e-commerce transactions. This article proposes a distributed analysis method for RFID-based e-commerce warehousing process optimization and an e-commerce supply chain management process based on Internet of Things technology. This article first introduces the advantages and disadvantages of shared IoT identification technology and the IoT… More >

  • Open Access

    ARTICLE

    Live Data Analytics with IoT Intelligence-Sensing System in Public Transportation for COVID-19 Pandemic

    Abdullah Alamri1,*, Sultan Alamri2

    Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 441-452, 2021, DOI:10.32604/iasc.2021.015198

    Abstract The COVID-19 pandemic has presented an unprecedented challenge to the entire world. It is a humanitarian crisis on a global scale. The virus continues to spread throughout nations, putting health systems under enormous pressure in the battle to save lives. With this growing crisis, companies and researchers worldwide are searching for ways to overcome the challenges associated with this virus. Also, the transport sector will play a critical role in revitalizing economies while simultaneously containing the spread of COVID-19. As the virus is still circulating, the only solution is to redesign public transportation to make people feel safe. In this… More >

  • Open Access

    ARTICLE

    Realization of IoT Integration System of LED Based on Particle Swarm Optimization

    Sung-Jung Hsiao1, Wen-Tsai Sung2,*

    Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 499-517, 2021, DOI:10.32604/iasc.2021.014911

    Abstract The purpose of this research is to design an intelligent LED lighting control system with wireless remote control. Since the designed system is mainly based on Android applications, it controls wireless lighting modules through a sever by means of a smartphone, tablet computer, or another handheld mobile device, and the values displayed on the handheld device are used to monitor the establishment and design of the electricity state and multiple-LED light control scenarios in real time. The server is connected with a touch human-machine interface, digital meter, wireless lighting controller, infrared learning module, and other devices through RS-232 and RS-485… More >

  • Open Access

    ARTICLE

    Roughsets-based Approach for Predicting Battery Life in IoT

    Rajesh Kaluri1, Dharmendra Singh Rajput1, Qin Xin2,*, Kuruva Lakshmanna1, Sweta Bhattacharya1, Thippa Reddy Gadekallu1, Praveen Kumar Reddy Maddikunta1

    Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 453-469, 2021, DOI:10.32604/iasc.2021.014369

    Abstract Internet of Things (IoT) and related applications have successfully contributed towards enhancing the value of life in this planet. The advanced wireless sensor networks and its revolutionary computational capabilities have enabled various IoT applications become the next frontier, touching almost all domains of life. With this enormous progress, energy optimization has also become a primary concern with the need to attend to green technologies. The present study focuses on the predictions pertinent to the sustainability of battery life in IoT frameworks in the marine environment. The data used is a publicly available dataset collected from the Chicago district beach water.… More >

  • Open Access

    ARTICLE

    Collision Observation-Based Optimization of Low-Power and Lossy IoT Network Using Reinforcement Learning

    Arslan Musaddiq1, Rashid Ali2, Jin-Ghoo Choi1, Byung-Seo Kim3,*, Sung-Won Kim1

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 799-814, 2021, DOI:10.32604/cmc.2021.014751

    Abstract The Internet of Things (IoT) has numerous applications in every domain, e.g., smart cities to provide intelligent services to sustainable cities. The next-generation of IoT networks is expected to be densely deployed in a resource-constrained and lossy environment. The densely deployed nodes producing radically heterogeneous traffic pattern causes congestion and collision in the network. At the medium access control (MAC) layer, mitigating channel collision is still one of the main challenges of future IoT networks. Similarly, the standardized network layer uses a ranking mechanism based on hop-counts and expected transmission counts (ETX), which often does not adapt to the dynamic… More >

  • Open Access

    ARTICLE

    An AIoT Monitoring System for Multi-Object Tracking and Alerting

    Wonseok Jung1, Se-Han Kim2, Seng-Phil Hong3, Jeongwook Seo4,*

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 337-348, 2021, DOI:10.32604/cmc.2021.014561

    Abstract Pig farmers want to have an effective solution for automatically detecting and tracking multiple pigs and alerting their conditions in order to recognize disease risk factors quickly. In this paper, therefore, we propose a novel monitoring system using an Artificial Intelligence of Things (AIoT) technique combining artificial intelligence and Internet of Things (IoT). The proposed system consists of AIoT edge devices and a central monitoring server. First, an AIoT edge device extracts video frame images from a CCTV camera installed in a pig pen by a frame extraction method, detects multiple pigs in the images by a faster region-based convolutional… More >

  • Open Access

    ARTICLE

    SAPEM: Secure Attestation of Program Execution and Program Memory for IoT Applications

    Nafisa Ahmed1, Manar Abu Talib2,*, Qassim Nasir3

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 23-49, 2021, DOI:10.32604/cmc.2021.014523

    Abstract Security is one of the major challenges that devices connected to the Internet of Things (IoT) face today. Remote attestation is used to measure these devices’ trustworthiness on the network by measuring the device platform’s integrity. Several software-based attestation mechanisms have been proposed, but none of them can detect runtime attacks. Although some researchers have attempted to tackle these attacks, the proposed techniques require additional secured hardware parts to be integrated with the attested devices to achieve their aim. These solutions are expensive and not suitable in many cases. This paper proposes a dual attestation process, SAPEM, with two phases:… More >

  • Open Access

    ARTICLE

    A Bio-Inspired Routing Optimization in UAV-enabled Internet of Everything

    Masood Ahmad1, Fasee Ullah2,*, Ishtiaq Wahid1, Atif Khan3, M. Irfan Uddin4, Abdullah Alharbi5, Wael Alosaimi5

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 321-336, 2021, DOI:10.32604/cmc.2021.014102

    Abstract Internet of Everything (IoE) indicates a fantastic vision of the future, where everything is connected to the internet, providing intelligent services and facilitating decision making. IoE is the collection of static and moving objects able to coordinate and communicate with each other. The moving objects may consist of ground segments and flying segments. The speed of flying segment e.g., Unmanned Ariel Vehicles (UAVs) may high as compared to ground segment objects. The topology changes occur very frequently due to high speed nature of objects in UAV-enabled IoE (Ue-IoE). The routing maintenance overhead may increase when scaling the Ue-IoE (number of… More >

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