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  • Open Access

    ARTICLE

    Malicious Traffic Detection in IoT and Local Networks Using Stacked Ensemble Classifier

    R. D. Pubudu L. Indrasiri1, Ernesto Lee2, Vaibhav Rupapara3, Furqan Rustam4, Imran Ashraf5,*

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 489-515, 2022, DOI:10.32604/cmc.2022.019636 - 03 November 2021

    Abstract Malicious traffic detection over the internet is one of the challenging areas for researchers to protect network infrastructures from any malicious activity. Several shortcomings of a network system can be leveraged by an attacker to get unauthorized access through malicious traffic. Safeguard from such attacks requires an efficient automatic system that can detect malicious traffic timely and avoid system damage. Currently, many automated systems can detect malicious activity, however, the efficacy and accuracy need further improvement to detect malicious traffic from multi-domain systems. The present study focuses on the detection of malicious traffic with high… More >

  • Open Access

    ARTICLE

    Novel Architecture of OneM2M-Based Convergence Platform for Mixed Reality and IoT

    Seungwoon Lee1, Woogeun Kil1, Byeong-hee Roh1,*, SJ Kim2, Jin-suk Kang3

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 51-69, 2022, DOI:10.32604/cmc.2022.019635 - 03 November 2021

    Abstract There have been numerous works proposed to merge augmented reality/mixed reality (AR/MR) and Internet of Things (IoT) in various ways. However, they have focused on their specific target applications and have limitations on interoperability or reusability when utilizing them to different domains or adding other devices to the system. This paper proposes a novel architecture of a convergence platform for AR/MR and IoT systems and services. The proposed architecture adopts the oneM2M IoT standard as the basic framework that converges AR/MR and IoT systems and enables the development of application services used in general-purpose environments More >

  • Open Access

    ARTICLE

    Development of PCCNN-Based Network Intrusion Detection System for EDGE Computing

    Mohd Anul Haq, Mohd Abdul Rahim Khan*, Talal AL-Harbi

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1769-1788, 2022, DOI:10.32604/cmc.2022.018708 - 03 November 2021

    Abstract Intrusion Detection System (IDS) plays a crucial role in detecting and identifying the DoS and DDoS type of attacks on IoT devices. However, anomaly-based techniques do not provide acceptable accuracy for efficacious intrusion detection. Also, we found many difficulty levels when applying IDS to IoT devices for identifying attempted attacks. Given this background, we designed a solution to detect intrusions using the Convolutional Neural Network (CNN) for Enhanced Data rates for GSM Evolution (EDGE) Computing. We created two separate categories to handle the attack and non-attack events in the system. The findings of this study… More >

  • Open Access

    ARTICLE

    A Design Framework for Smart Ration Shop Using Blockchain and IoT Technologies

    D. Malathi1, Vijayakumar Ponnusamy2,*, S. Saravanan3, D. Deepa4, Tariq Ahamed Ahanger5

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 605-619, 2022, DOI:10.32604/iasc.2022.022083 - 26 October 2021

    Abstract The Public Distribution System (PDS) distributes the subsidized food and non-food items to poor populations through fair price shops (FPS). The PDS has been criticized for its urban bias and its failure to serve the underprivileged sections of the community effectively. The Current system manual-based data management and ledger management gives rise to much corruption in the process of extricating the poor from those who are less needy. There are chances for the block market because of the current methodology of data management. This article proposes a blockchain technology-based smart ration shop system that uses More >

  • Open Access

    ARTICLE

    Development of IoT Based Fish Monitoring System for Aquaculture

    Abu Taher Tamim1, Halima Begum1, Sumaiya Ashfaque Shachcho1, Mohammad Monirujjaman Khan1,*, Bright Yeboah-Akowuah2, Mehedi Masud3, Jehad F. Al-Amri4

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 55-71, 2022, DOI:10.32604/iasc.2022.021559 - 26 October 2021

    Abstract Aquaculture mainly refers to cultivating aquatic organisms providing suitable environments for various purposes, including commercial, recreational, public purposes. This paper aims to enhance the production of fish and maintain the aquatic environment of aquaculture in Bangladesh. This paper presents the way of using Internet of Things (IoT) based devices to monitor aquaculture’s basic needs and help provide things needed for the fisheries. Using these devices, various parameters of water will be monitored for a better living environment for fish. These devices consist of some sensors that will detect the Potential of Hydrogen (pH) level, the… More >

  • Open Access

    ARTICLE

    Intelligent Agriculture Technology Based on Internet of Things

    Lili Sun1, Hairui Sun2, Ning Cao1, Xiuli Han3, Guangsheng Cao3, Wei Huo3, Dongjie Zhu4,*, Russell Higgs5

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 429-439, 2022, DOI:10.32604/iasc.2022.021526 - 26 October 2021

    Abstract Although the application of agricultural product traceability technology is a key point to realize Modern Agricultural IoT, it has still encountered various food safety problems. For example, immature environmental monitoring technology of agricultural products, weak product traceability and imperfect product monitoring equipment. For this reason, this paper studies and compares several emerging technologies of the things Internet, then it analyzes the functional diversity and practicability of the Modern Agricultural IoT. It builds the experimental environment based on the agricultural product traceability technology, so as to realize the monitoring of crop growth environment and traceability. The… More >

  • Open Access

    ARTICLE

    IoT-Based Reusable Medical Suit for Daily Life Use in the Era of COVID-19

    Abdelhamied A. Ateya1,2, Abeer D. Algarni1, Hanaa A. Abdallah1,2, Naglaa F. Soliman1,2,*

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 255-270, 2022, DOI:10.32604/iasc.2022.021322 - 26 October 2021

    Abstract Coronavirus disease (COVID-19) is a big problem that scares people all over the world. Life over the world has changed, new aspects for daily life have been introduced. A main problem with COVID-19 is the way it spreads. Covid-19 spreads, primarily, through contact with an infected person when they cough or sneeze, or with an infected surface. Thus, a novel way to make a protection against COVID-19 is to stay away or make yourself isolated from infected people and surfaces. To this end, this work, mainly, aims to design and develop a novel auto-sterilized suit… More >

  • Open Access

    ARTICLE

    Massive IoT Malware Classification Method Using Binary Lifting

    Hae-Seon Jeong1, Jin Kwak2,*

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 467-481, 2022, DOI:10.32604/iasc.2022.021038 - 26 October 2021

    Abstract Owing to the development of next-generation network and data processing technologies, massive Internet of Things (IoT) devices are becoming hyperconnected. As a result, Linux malware is being created to attack such hyperconnected networks by exploiting security threats in IoT devices. To determine the potential threats of such Linux malware and respond effectively, malware classification through an analysis of the executed code is required; however, a limitation exists in that each heterogeneous architecture must be analyzed separately. However, the binary codes of a heterogeneous architecture can be translated to a high-level intermediate representation (IR) of the More >

  • Open Access

    ARTICLE

    Lightweight and Secure Mutual Authentication Scheme for IoT Devices Using CoAP Protocol

    S. Gladson Oliver1,*, T. Purusothaman2

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 767-780, 2022, DOI:10.32604/csse.2022.020888 - 25 October 2021

    Abstract Internet of things enables every real world objects to be seamlessly integrated with traditional internet. Heterogeneous objects of real world are enhanced with capability to communicate, computing capabilities and standards to interoperate with existing network and these entities are resource constrained and vulnerable to various security attacks. Huge number of research works are being carried out to analyze various possible attacks and to propose standards for securing communication between devices in internet of things (IoT). In this article, a robust and lightweight authentication scheme for mutual authentication between client and server using constrained application protocol… More >

  • Open Access

    ARTICLE

    Analysis of the Desynchronization Attack Impact on the E2EA Scheme

    Shadi Nashwan*

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 625-644, 2022, DOI:10.32604/csse.2022.020799 - 25 October 2021

    Abstract The healthcare IoT system is considered to be a significant and modern medical system. There is broad consensus that these systems will play a vital role in the achievement of economic growth in numerous growth countries. Among the major challenges preventing the fast and widespread adoption of such systems is the failure to maintain the data privacy of patients and the integrity of remote clinical diagnostics. Recently, the author proposed an end-to-end authentication scheme for healthcare IoT systems (E2EA), to provide a mutual authentication with a high data rate between the communication nodes of the… More >

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