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Research ArticleOpen accessPhrase in the titleAWARENESS OF EMBEDDING SECURITY FEATURES INTO COMPONENT-BASED SOFTWARE DEVELOPMENT MODEL: A SURVEYHasan Kahtan, Nordin Abu Bakar, Rosmawati NordinCurrent applications and systems contain the software components as the basic elements and Component Based Software Development (CBSD) has been successful in building applications and systems. However, the security of CBSD for the software component is still lacking. This study highlights the results of a survey pertaining to the embedding of security features in the CBSD process. The main objective … …Journal of Computer Science, Vol. 10, Issue 8 · 20 Mar 2014 · 7,358 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeatures of the Security System Development of a Computer Telecommunication NetworkLeonid Chervyakov, Tagirbek Aslanov, Dmitry Polezhaev, Viktor LysenkoGlobal computer networks have enabled ordinary users, companies, organizations and medical institutions to gain virtually unlimited access to data arrays. Therefore, developing systems capable of ensuring the good performance and secure operation of a standard Computer Telecommunication Network (CTN) has become one of the most pressing tasks demanded in the medical industry. Consequently, this study aims to create an ordered … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 4,725 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUbiquitous Health Monitoring Systems: Addressing Security ConcernsMahmoud Elkhodr, Seyed Shahrestani, Hon CheungProblem statement: It is important to secure the transmission of patient’s EHR in remote health monitoring systems. Security is among the main issues that need to be realized for the adaption of this monitoring technology. The face of healthcare is changing as ubiquitous computing technologies are being incorporated into the existing infrastructure. We specify the requirements, needed security mechanism, outstanding … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 7,410 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEthical Issues in E-Commerce on the Basis of Online RetailingSinan Nardal, Ayse SahinProblem statement: The rapid spread of e-commerce has created tremendous opportunities for economic efficiency and customer choice. Use of the global Internet computer network for ecommerce activities provides some advantages to the consumers on their daily life. On the other hand Internet represents a new environment for unethical behavior. While e-commerce has witnessed extensive growth in last decade, consumers concerns … …Journal of Social Sciences, Vol. 7, Issue 2 · 10 Feb 2011 · 23,399 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Design and Security on Generation Z’s Continuance Intention in the AI-Enhanced MetaverseShailja TripathiArtificial Intelligence (AI) and the Metaverse are the source of quick and extensive changes in the virtual world. Unfortunately, such a point is rarely discussed in the academic community and the reasons why users may be able to accept an AI-enhanced Metaverse environment are not well explored. The purpose of this study is to further reconnoiter the relationship between AI … …Journal of Computer Science, Vol. 22, Issue 9 · 21 Sep 2026 · 609 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Explainable AI (XAI) Framework for Intrusion Detection and Identification to Secure IoT NetworksVibhor Harit, Rajeev Dahiya, Umang Garg, Anil KumarThe Internet of Things (IoT) encompasses a wide range of applications from wearable devices to smart homes, as well as industrial automation and smart cities. As IoT networks and devices continue to grow rapidly, security has become crucial. There are many techniques utilized to provide security aspects in IoT networks. These security aspects focus on mitigating risks and fixing vulnerabilities … …Journal of Computer Science, Vol. 22, Issue 7 · 23 Jul 2026 · 1,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractSEAchain: A Privacy-Preserving Dual-Credential Model on BlockchainS. Balachander, A. MuruganAll facets of daily life are now impacted by transaction data. The complex and heterogeneous network created by millions of users, devices, online services, and applications makes digital identity management more difficult. Users can maintain control over their personal information via distributed identity, a potentially useful model for resolving identity issues. Nevertheless, current state-of-the-art techniques are inappropriate because of persistent … …Journal of Computer Science, Vol. 22, Issue 5 · 25 May 2026 · 1,310 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Machine Learning Framework for Citrus Grading and Yield Prediction Using Classifier-Informed RegressionLydia Dede Obeng, Isaac O. OsunmakindeAgriculture remains a cornerstone of human sustenance, yet accurate citrus fruit grading and yield predictions remain significant challenges due to visual similarities between varieties such as oranges and grapefruits. This includes the inefficiencies of manual grading. This study presents a new dual-function machine learning system that integrates classification and regression to simultaneously grade citrus fruits and forecast crop yields. This … …Journal of Computer Science, Vol. 22, Issue 4 · 24 Apr 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Adversarial Attack Detection via Generative Adversarial Network With Residual Multi-Layer Aggregation Based Contrastive Loss FunctionAmudha Gopalakrishnan, Nalini JosephAdversarial attacks in medical imaging refer to subtle modifications to images that mislead diagnostic systems, resulting in inaccurate diagnoses and assessments. These attacks exploit vulnerabilities in image processing, leading to misclassification or altered visual features that often go unnoticed. This raises serious concerns about the security and reliability of medical diagnosis, directly impacting clinical decision-making and patient safety. This research … …Journal of Computer Science, Vol. 22, Issue 1 · 10 Feb 2026 · 1,742 accessesView PDFCite
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