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88 results for “Data Integrity”
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Research ArticleOpen accessIn the abstractBlockchain-Enabled Decisive Red Fox Optimizer-Based Feature Selection With Deep Learning-Based Intrusion Detection SystemC. Ananth, S. Sathiyarani, N. MohananthiniRecently, Intrusion Detection Systems (IDS) using Deep Learning (DL) models become useful in accomplishing network security. The selected features serve as input to the DL model, which is trained on labelled datasets to learn intrinsic patterns distinguishing malicious from normal network behaviour. DL techniques like Convolutional Neural Networks (CNN) are usually utilized. The seamless combination of Public Blockchain (BC) technology … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,714 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsability Assessment of E-Commerce Systems Using McCall’s Quality ModelSiti Solehah Othman, A Noraziah, Roslina Mohd SidekE-commerce platforms rely fundamentally on business database transaction systems that must balance user experience with security and data integrity. Traditional usability assessment methodologies often overlook critical security elements and transactional integrity requirements. This study employs McCall's Quality Model to comprehensively evaluate the usability characteristics of three prominent e-commerce platforms: Temu, Shopee, and Lazada. Through structured task-based evaluations and Likert-scale questionnaires, … …Journal of Computer Science, Vol. 21, Issue 11 · 19 Dec 2025 · 2,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractStrengthening Image Security with Unimodular Hill Cipher and Advanced Encryption StandardSamsul Arifin, Dwi Wijonarko, Monica Mayeni Manurung et al.Digital data security has become increasingly important with the growth of digital image usage, which often contains sensitive information. This study aims to enhance the security of digital images by combining Unimodular Hill Cipher (UHC) and Advanced Encryption Standard (AES) methods. UHC, a matrix-based symmetric encryption algorithm, is used for image matrix encryption, while AES provides an additional layer of … …Journal of Computer Science, Vol. 21, Issue 5 · 22 Apr 2025 · 5,408 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing KNN for Face Recognition and Location Detection in Mobile Employee Attendance Systems Using Machine LearningPainem, Hari Soetanto, Achmad Solichin, Ibnu RamadhanEmployee attendance is critical to company operations, particularly for firms involved in ATM installations collaborating with banks. An effective attendance system enables bank vendors to verify the completion of ATM installations. The current attendance method employed by the company requires employees to send photos of themselves with the installed ATM, including the machine number and installation location. The company's admin … …Journal of Computer Science, Vol. 21, Issue 5 · 14 Apr 2025 · 5,989 accessesView PDFCite
Review ArticleOpen accessIn the abstractEfficient and Secure Record-Keeping: A Review of Smart Contract-Based Student Marks Management Systems in UniversitiesRima Anant Patel, Dharmendra PatelBlockchain stores the transaction sequentially in the form of linked blocks. The decentralized and distributed nature of the blockchain makes data easily accessible to the participants of the blockchain network. There are many applications of blockchain in the IT industry as it is one of the growing technology. Traditional education system suffers from marinating the data centrally. Centralized data are … …Journal of Computer Science, Vol. 21, Issue 4 · 24 Mar 2025 · 5,139 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecuring IoT Networks: Multi-Attack Detection of RPL Routing Threats Using Deep LearningAyoub Krari, Abdelmajid Hajami, Ayoub Toubi, Marouane Ait SaidThe growing frequency of cyber threats in Internet of Things (IoT) networks, including attacks on RPL routing, requires the creation of strong detection systems to safeguard network integrity and provide dependable communication. This study is driven by the pressing necessity to tackle the security weaknesses in IoT networks, where threats such as black holes, version number alteration, DIS flooding, and … …Journal of Computer Science, Vol. 21, Issue 4 · 6 Mar 2025 · 5,397 accessesView PDFCite
Review ArticleOpen accessIn the abstractMitigating Privacy and Security Risks in the Era of Big Data: A Comprehensive Framework of Best Practices and ProtocolsUma Narayanan, Nithin Puthiya Veettil, Ratheesh Thottungal Krishnankutty et al.Addressing the intricate challenges of security and privacy in big data necessitates a focused research approach toward the development of innovative frameworks, protocols and algorithms. This study advocates for a heightened focus on advancing encryption technologies and methodologies to bolster data anonymization, thereby fortifying the protection of user information. Additionally, emphasis is placed on enhancing data access control mechanisms to … …Journal of Computer Science, Vol. 20, Issue 9 · 13 Jul 2024 · 5,585 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrompt-Based Data Augmentation with Large Language Models for Indonesian Gender-Based Hate Speech DetectionMuhammad Amien Ibrahim, Faisal, Zefanya Delvin Sulistiya, Tora Sangputra Yopie WinartoThe increasing amount of content on social media content makes the use of automatic moderation crucial for preserving a healthy online community and reducing the spread of offensive and abusive content, such as hate speech based on gender. Developing automated social media moderation using machine learning demands a large and balanced dataset. However, difficulties such as data scarcity and class … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,881 accessesView PDFCite
Research ArticleOpen accessIn the abstractOnline ML Streaming-Based Leading Ensemble Classifier for Intrusion Detection in IoTNeeraj Sharma, Neelu NihalaniIn the present decade, preventing IoT networks from malicious attacks and to ensure the privacy and integrity of data by strengthening their cybersecurity perspective is a critical concern. Traditional methods alone are not sufficient to detect multiple attacks. IDS-based system plays a crucial role to maintain security due to continuous expanding nature of IoT networks. Traditional methods alone are often … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,078 accessesView PDFCite