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  • Open Access

    ARTICLE

    Automated Machine Learning Enabled Cybersecurity Threat Detection in Internet of Things Environment

    Fadwa Alrowais1, Sami Althahabi2, Saud S. Alotaibi3, Abdullah Mohamed4, Manar Ahmed Hamza5,*, Radwa Marzouk6

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 687-700, 2023, DOI:10.32604/csse.2023.030188 - 16 August 2022

    Abstract Recently, Internet of Things (IoT) devices produces massive quantity of data from distinct sources that get transmitted over public networks. Cybersecurity becomes a challenging issue in the IoT environment where the existence of cyber threats needs to be resolved. The development of automated tools for cyber threat detection and classification using machine learning (ML) and artificial intelligence (AI) tools become essential to accomplish security in the IoT environment. It is needed to minimize security issues related to IoT gadgets effectively. Therefore, this article introduces a new Mayfly optimization (MFO) with regularized extreme learning machine (RELM)… More >

  • Open Access

    ARTICLE

    Advanced Authentication Mechanisms for Identity and Access Management in Cloud Computing

    Amjad Alsirhani, Mohamed Ezz, Ayman Mohamed Mostafa*

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 967-984, 2022, DOI:10.32604/csse.2022.024854 - 09 May 2022

    Abstract Identity management is based on the creation and management of user identities for granting access to the cloud resources based on the user attributes. The cloud identity and access management (IAM) grants the authorization to the end-users to perform different actions on the specified cloud resources. The authorizations in the IAM are grouped into roles instead of granting them directly to the end-users. Due to the multiplicity of cloud locations where data resides and due to the lack of a centralized user authority for granting or denying cloud user requests, there must be several security… More >

  • Open Access

    ARTICLE

    Design of Cybersecurity Threat Warning Model Based on Ant Colony Algorithm

    Weiwei Lin1,2,*, Reiko Haga3

    Journal on Big Data, Vol.3, No.4, pp. 147-153, 2021, DOI:10.32604/jbd.2021.017299 - 20 December 2021

    Abstract In this paper, a cybersecurity threat warning model based on ant colony algorithm is designed to strengthen the accuracy of the cybersecurity threat warning model in the warning process and optimize its algorithm structure. Through the ant colony algorithm structure, the local global optimal solution is obtained; and the cybersecurity threat warning index system is established. Next, the above two steps are integrated to build the cybersecurity threat warning model based on ant colony algorithm, and comparative experiment is also designed. The experimental results show that, compared with the traditional qualitative differential game-based cybersecurity More >

  • Open Access

    ARTICLE

    A Survey on Security Threats and Solutions of Bitcoin

    Le Lai1,*,Tongqing Zhou1, Zhiping Cai1, Zhiyao Liang2, Hao Bai1

    Journal of Cyber Security, Vol.3, No.1, pp. 29-44, 2021, DOI:10.32604/jcs.2021.016349 - 30 April 2021

    Abstract Bitcoin is known as the first decentralized digital currency around the world. It uses blockchain technology to store transaction data in a distributed public ledger, is a distributed ledger that removes third-party trust institutions. Since its invention, bitcoin has achieved great success, has a market value of about $200 billion. However, while bitcoin has brought a wide and far-reaching impact in the financial field, it has also exposed some security problems, such as selfish mining attacks, Sybil attack, eclipse attacks, routing attacks, EREBUS attacks, and so on. This paper gives a comprehensive overview of various More >

  • Open Access

    ARTICLE

    Assessing User’s Susceptibility and Awareness of Cybersecurity Threats

    Maha M. Althobaiti*

    Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 167-177, 2021, DOI:10.32604/iasc.2021.016660 - 17 March 2021

    Abstract Cybersecurity threats, including those involving machine learning, malware, phishing, and cryptocurrency, have become more sophisticated. They target sensitive information and put institutions, governments, and individuals in a continual state of risk. In 2019, phishing attacks became one of the most common and dangerous cyber threats. Such attacks attempt to steal sensitive data, such as login and payment card details, from financial, social, and educational websites. Many universities have suffered data breaches, serving as a prime example of victims of attacks on educational websites. Owing to advances in phishing tactics, strategies, and technologies, the end-user is… More >

  • Open Access

    ARTICLE

    Security Threats to Business Information Systems Using NFC Read/Write Mode

    Sergio Rios-Aguilar1,2,*, Marta Beltrán2, González-Crespo Rubén3

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2955-2969, 2021, DOI:10.32604/cmc.2021.014969 - 01 March 2021

    Abstract Radio Frequency IDentification (RFID) and related technologies such as Near Field Communication (NFC) are becoming essential in industrial contexts thanks to their ability to perform contactless data exchange, either device-to-device or tag-to-device. One of the three main operation modes of NFC, called read/write mode, makes use of the latter type of interaction. It is extensively used in business information systems that make use of NFC tags to provide the end-user with augmented information in one of several available NFC data exchange formats, such as plain text, simple URLs or enriched URLs. Using a wide variety… More >

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