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Research ArticleOpen accessEvery word in the titleEnhancing SQL Injection Detection: A Machine Learning Approach Using Network Flow DataP. Vinoth, K. Muthamil Sudar, S. MuthukumarBackground: SQL injection is one of the cyberattacks which occurs in web application vulnerabilities. It targets the poor input validation and enables the attackers to inject malicious queries into the database fields in any application. It will grant access to unauthorized users and data modification, or they will take control over the complete database. To prevent this, there are several … …Journal of Computer Science, Vol. 22, Issue 8 · 18 Aug 2026 · 1,051 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Multi-Split Cross-Strategy for Enhancing Machine Learning Algorithms Prediction Results with Data Generated by Conditional Generative Adversarial NetworkAbdelfattah Abassi, Brahim Bakkas et al.In this study, we present a Multi-Split Cross-Strategy (MSC-Strategy) designed to leverage synthetic tabular data generated by a Conditional Generative Adversarial Network (CGAN). Our study aims to investigate the potential of synthetic data in comparison to real-world data for improving machine learning predictive results. Firstly, we develop a CGAN architecture tailored to generate synthetic tabular data, trained on a comprehensive … …Journal of Computer Science, Vol. 20, Issue 7 · 9 Apr 2024 · 6,695 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficient Handling of Medical Data Classification in Cloud-Edge Network using Optimization AlgorithmS. S. Saranya, N. Sabiyath FatimaNowadays, a cloud-edge computing framework with IoT offers different medicinal facilities by classifying a massive amount of patients’ health data through a Deep Neural Network. But, how to optimize task scheduling while carrying multiple tasks from multiple edge devices in real-time was still challenging. This article introduces a cooperative cloud-edge computing structure to effectively perform the fuzzy DNN classification into … …Journal of Computer Science, Vol. 17, Issue 11 · 30 Nov 2021 · 6,480 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleKnowledge Based Bayesian Network Construction Algorithm for Medical Data Fusion to Enhance Services and DiagnosisAhmed SamehTraditional Bayesian networks' algorithms are treating the network construction process as an isolated and autonomous data-driven trial-and-error process and completely ignoring the domain knowledge. In this work we are proposing a new 'Semantically Aware Ontology-Based Bayesian Network construction algorithm' that is knowledge centered instead of data centered. The objective of the new algorithm is to empower patients through improving their … …Journal of Computer Science, Vol. 15, Issue 5 · 28 May 2019 · 8,035 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSENSOR NETWORK PERIODICAL DATA ASSEMBLY USING IMBALANCED CLUSTERING ENERGY EFFICIENT MECHANISMK. Munusamy, R. M.S. ParvathiFast technical advances and development in wireless communication resulted in the huge consumption of wireless sensor networks. The nodes in these networks are ready to be sensed, processing the data and transmitting radio units. While several research works have been conducted related to the power-aware and energy-efficiency using Cooperative Networking protocol (CONET) that reforms clusters but the multiple rate remains … …Journal of Computer Science, Vol. 10, Issue 10 · 28 Jun 2014 · 6,648 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRouting Based Data Security in Mobile Ad Hoc Network Using Group Key ManagementE. Mohanraj, K. DuraiswamyProblem statement: A mobile ad-hoc network (MANET) is a self-organizing system of mobile devices followed an infrastructure less framework associated by wireless links. In MANET, there is a possibility of packet data to get lost or hacked by an attacker. So, to improve a secure communication over MANET from attackers, several techniques have been developed. The previous work developed to … …Journal of Computer Science, Vol. 8, Issue 10 · 29 Aug 2012 · 6,697 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCluster Based Data Consistency for Cooperative Caching over Partitionable Mobile Adhoc NetworkP. Kuppusamy, B. KalaavathiProblem statement: Data availability and consistency are foremost issues in Mobile Ad hoc Networks due to the absence of permanent infrastructure. Cooperative caching addresses the data availability issue through coordinating the mobile nodes and sharing the cache copies among them. In the meantime, the mobile node must ensure the staleness of cache copies. The consistency maintenance resolves the staleness of … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 10 Jul 2012 · 6,853 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Importance of Information through Accounting Practice in Agricultural Sector-European Data NetworkVazakidis Athanasios, Athianos Stergios, Ekaterini C. LaskaridouPresent study investigated the gap between accounting practices and the magnitude role of accounting information in the agricultural sector. Problem statement: Factors for this gap are: Current general accounting rules do not reflect the particularities of farming, the need of farm management, rural development and sustainability. The introduction of International Accounting Standard 41 (IAS 41) by International Accounting Standard Committee, … …Journal of Social Sciences, Vol. 6, Issue 2 · 30 Jun 2010 · 8,460 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFunctional Link Artificial Neural Network for Classification Task in Data MiningB. B. Misra, S. DehuriIn solving classification task of data mining, the traditional algorithm such as multi-layer perceptron takes longer time to optimize the weight vectors. At the same time, the complexity of the network increases as the number of layers increases. In this study, we have used Functional Link Artificial Neural Networks (FLANN) for the task of classification. In contrast to multiple layer … …Journal of Computer Science, Vol. 3, Issue 12 · 31 Dec 2007 · 60,797 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleChoice Of Input Data Type Of Artificial Neural Network To Detect Faults In Alternative Current SystemsT. Benslimane, B. Chetate, R. BeguenaneThis paper present a study on different input data types of ANN used to detect faults such as over-voltage in AC systems (AC network , induction motor). The input data of ANN are AC voltage and current. In no fault condition, voltage and current are sinusoidal. The input data of the ANN may be the instantaneous values of voltage and … …American Journal of Applied Sciences, Vol. 3, Issue 8 · 31 Aug 2006 · 6,775 accessesView PDFCite