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  • Open Access

    REVIEW

    A Systematic Review of Automated Classification for Simple and Complex Query SQL on NoSQL Database

    Nurhadi, Rabiah Abdul Kadir*, Ely Salwana Mat Surin, Mahidur R. Sarker*

    Computer Systems Science and Engineering, Vol.48, No.6, pp. 1405-1435, 2024, DOI:10.32604/csse.2024.051851 - 22 November 2024

    Abstract A data lake (DL), abbreviated as DL, denotes a vast reservoir or repository of data. It accumulates substantial volumes of data and employs advanced analytics to correlate data from diverse origins containing various forms of semi-structured, structured, and unstructured information. These systems use a flat architecture and run different types of data analytics. NoSQL databases are nontabular and store data in a different manner than the relational table. NoSQL databases come in various forms, including key-value pairs, documents, wide columns, and graphs, each based on its data model. They offer simpler scalability and generally outperform… More >

  • Open Access

    ARTICLE

    Enhancing AI System Privacy: An Automatic Tool for Achieving GDPR Compliance in NoSQL Databases

    Yifei Zhao, Zhaohui Li, Siyi Lv*

    CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 217-234, 2024, DOI:10.32604/cmc.2024.052310 - 18 July 2024

    Abstract The EU’s Artificial Intelligence Act (AI Act) imposes requirements for the privacy compliance of AI systems. AI systems must comply with privacy laws such as the GDPR when providing services. These laws provide users with the right to issue a Data Subject Access Request (DSAR). Responding to such requests requires database administrators to identify information related to an individual accurately. However, manual compliance poses significant challenges and is error-prone. Database administrators need to write queries through time-consuming labor. The demand for large amounts of data by AI systems has driven the development of NoSQL databases.… More >

  • Open Access

    ARTICLE

    Injections Attacks Efficient and Secure Techniques Based on Bidirectional Long Short Time Memory Model

    Abdulgbar A. R. Farea1, Gehad Abdullah Amran2,*, Ebraheem Farea3, Amerah Alabrah4,*, Ahmed A. Abdulraheem5, Muhammad Mursil6, Mohammed A. A. Al-qaness7

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3605-3622, 2023, DOI:10.32604/cmc.2023.040121 - 08 October 2023

    Abstract E-commerce, online ticketing, online banking, and other web-based applications that handle sensitive data, such as passwords, payment information, and financial information, are widely used. Various web developers may have varying levels of understanding when it comes to securing an online application. Structured Query language SQL injection and cross-site scripting are the two vulnerabilities defined by the Open Web Application Security Project (OWASP) for its 2017 Top Ten List Cross Site Scripting (XSS). An attacker can exploit these two flaws and launch malicious web-based actions as a result of these flaws. Many published articles focused on… More >

  • Open Access

    ARTICLE

    An Improved LSTM-PCA Ensemble Classifier for SQL Injection and XSS Attack Detection

    Deris Stiawan1, Ali Bardadi1, Nurul Afifah1, Lisa Melinda1, Ahmad Heryanto1, Tri Wanda Septian1, Mohd Yazid Idris2, Imam Much Ibnu Subroto3, Lukman4, Rahmat Budiarto5,*

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1759-1774, 2023, DOI:10.32604/csse.2023.034047 - 09 February 2023

    Abstract The Repository Mahasiswa (RAMA) is a national repository of research reports in the form of final assignments, student projects, theses, dissertations, and research reports of lecturers or researchers that have not yet been published in journals, conferences, or integrated books from the scientific repository of universities and research institutes in Indonesia. The increasing popularity of the RAMA Repository leads to security issues, including the two most widespread, vulnerable attacks i.e., Structured Query Language (SQL) injection and cross-site scripting (XSS) attacks. An attacker gaining access to data and performing unauthorized data modifications is extremely dangerous. This… More >

  • Open Access

    ARTICLE

    IoT Based Smart Framework Monitoring System for Power Station

    Arodh Lal Karn1, Panneer Selvam Manickam2, R. Saravanan3,*, Roobaea Alroobaea4, Jasem Almotiri4, Sudhakar Sengan5

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6019-6037, 2023, DOI:10.32604/cmc.2023.032791 - 28 December 2022

    Abstract Power Station (PS) monitoring systems are becoming critical, ensuring electrical safety through early warning, and in the event of a PS fault, the power supply is quickly disconnected. Traditional technologies are based on relays and don’t have a way to capture and store user data when there is a problem. The proposed framework is designed with the goal of providing smart environments for protecting electrical types of equipment. This paper proposes an Internet of Things (IoT)-based Smart Framework (SF) for monitoring the Power Devices (PD) which are being used in power substations. A Real-Time Monitoring… More >

  • Open Access

    ARTICLE

    A MySQL-Based Software System of Urban Land Planning Database of Shanghai in China

    Pei Yin1, Jing Cheng2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2387-2405, 2023, DOI:10.32604/cmes.2023.023666 - 23 November 2022

    Abstract With the development of the digital city, data and data analysis have become more and more important. The database is the foundation of data analysis. In this paper, the software system of the urban land planning database of Shanghai in China is developed based on MySQL. The conceptual model of the urban land planning database is proposed, and the entities, attributes and connections of this model are discussed. Then the E-R conceptual model is transformed into a logical structure, which is supported by the relational database management system (DBMS). Based on the conceptual and logical… More >

  • Open Access

    ARTICLE

    Handling Big Data in Relational Database Management Systems

    Kamal ElDahshan1, Eman Selim2, Ahmed Ismail Ebada2, Mohamed Abouhawwash3,4, Yunyoung Nam5,*, Gamal Behery2

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5149-5164, 2022, DOI:10.32604/cmc.2022.028326 - 21 April 2022

    Abstract Currently, relational database management systems (RDBMSs) face different challenges in application development due to the massive growth of unstructured and semi-structured data. This introduced new DBMS categories, known as not only structured query language (NoSQL) DBMSs, which do not adhere to the relational model. The migration from relational databases to NoSQL databases is challenging due to the data complexity. This study aims to enhance the storage performance of RDBMSs in handling a variety of data. The paper presents two approaches. The first approach proposes a convenient representation of unstructured data storage. Several extensive experiments were More >

  • Open Access

    ARTICLE

    Data Warehouse Design for Big Data in Academia

    Alex Rudniy*

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 979-992, 2022, DOI:10.32604/cmc.2022.016676 - 03 November 2021

    Abstract This paper describes the process of design and construction of a data warehouse (“DW”) for an online learning platform using three prominent technologies, Microsoft SQL Server, MongoDB and Apache Hive. The three systems are evaluated for corpus construction and descriptive analytics. The case also demonstrates the value of evidence-centered design principles for data warehouse design that is sustainable enough to adapt to the demands of handling big data in a variety of contexts. Additionally, the paper addresses maintainability-performance tradeoff, storage considerations and accessibility of big data corpora. In this NSF-sponsored work, the data were processed, transformed,… More >

  • Open Access

    ARTICLE

    Evaluation of Natural Language Software Interfaces to Databases

    Fiaz Majeed1, Muhammad Shoaib2, Monagi H. Alkinani3, Wazir Zada Khan4, Shahzada Khurram5, Akber Abid Gardezi6, Muhammad Shafiq7,*

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 285-299, 2022, DOI:10.32604/iasc.2022.015488 - 26 October 2021

    Abstract Relational databases are still important in modern times due to their many advantages, such as ease of interaction, simplicity and data integrity. In this regard, structured query language (SQL) and technical knowledge about database schemas are the basic building blocks for retrieving information from relational databases. Generally, non-expert users cannot skillfully write technical queries on the target database. To this end, many database natural language interfaces (NLIDB) have been developed to greatly facilitate users. However, each system provides a different interface for new users, so beginners can use different interactive modes to enter keyword-based queries. More >

  • Open Access

    ARTICLE

    Web Security: Emerging Threats and Defense

    Abdulwahed Awad Almutairi1, Shailendra Mishra2,*, Mohammed AlShehri1

    Computer Systems Science and Engineering, Vol.40, No.3, pp. 1233-1248, 2022, DOI:10.32604/csse.2022.019427 - 24 September 2021

    Abstract Web applications have become a widely accepted method to support the internet for the past decade. Since they have been successfully installed in the business activities and there is a requirement of advanced functionalities, the configuration is growing and becoming more complicated. The growing demand and complexity also make these web applications a preferred target for intruders on the internet. Even with the support of security specialists, they remain highly problematic for the complexity of penetration and code reviewing methods. It requires considering different testing patterns in both codes reviewing and penetration testing. As a… More >

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