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100 results for “E-learning Security”
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Research ArticleOpen accessIn the keywordsCybersecurity Mechanism for Automatic Detection of IoT Intrusions Using Machine LearningCheikhane Seyed, MBaye Kebe, Mohamed El Moustapha El Arby et al.This article proposes an ML-based cyber security mechanism to optimize intrusion detection that attacks internet objects (IoT). Our approach consists of bringing together several learning methods namely supervised learning, unsupervised learning and reinforcement learning within the same Canvas. The objective is to choose among them the most optimal for classifying and predicting attacks while minimizing the impact linked to the … …Journal of Computer Science, Vol. 20, Issue 1 · 11 Dec 2023 · 6,176 accessesView PDFCite
Research ArticleOpen accessIn the keywordsData Analytics for the Cyber Security of an Information System Based on a Markov Decision Process ModelLidong Wang, Randy Jones, Terril C. FallsIntrusion detection is an important research topic in information systems and cyber security. Both a defender and an attacker detect and learn about each other during an intrusion process. The defender can expel the attacker as soon as the attacker is detected or wait and observe to know more about the attacker for the detection and prevention of other attacks … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 4 · 7 Dec 2022 · 5,431 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Framework for a Multi-Layered Security of an Automated Programming Code Assessment ToolMohd Fadzli Marhusin, Muhammad Firdaus Zul Kafli, Rossilawati Sulaiman et al.In a learning environment, a low student-lecturer ratio is considered a practical solution by many educational institutions. However, the number of students in information technology is increasing every year. This could lead to a significant increase in the workload of lecturers, who need to evaluate assignments, quizzes and projects. Hence, it is desirable that an automated assessment tool is used … …Journal of Computer Science, Vol. 11, Issue 2 · 18 Sep 2014 · 6,630 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing 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
Review ArticleOpen accessIn the keywordsA Systematic Review of Adversarial Attacks: ML Techniques, Classification and CountermeasuresBhavesh Kumar Sharma, Sanatan Ratna, Rajiv KumarMachine Learning (ML) and Deep Learning (DL)-based technologies have made significant strides in areas such as computer vision, natural language processing, and autonomous systems. Yet they have been applied in high-stake applications, and have been found to be fragile through adversarial attacks-, maliciously crafted small distortions that fool models into making mistakes. From the pioneering work by Szegedy et al. … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,497 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning AlgorithmsPalash Gourshettiwar, K. T. V. ReddyHydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitated by the devices using the Internet of Things (IoT). This study summarises the latest research and discusses how Machine Learning and the IoT work together, focusing on nutrient optimization, plant development, and resource efficiency. The … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,046 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTransformative Effects of Big Data on Advanced Data Analytics: Open Issues and Critical ChallengesShabnam Kumari, P. MuthulakshmiWe are living in the period of the information era (i.e., where data/information is the new oil for companies/industries). The term big data had been authored to depict this age. This study characterizes a lot on the idea of big data and its progress over the previous decade to till date. This study presents the meaning of this new idea … …Journal of Computer Science, Vol. 18, Issue 6 · 14 Jun 2022 · 6,349 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing Video Tampering Detection Using Dynamic Temporal LSTM With Adaptive CNNGurpreet Kour Khalsa, Rakesh Ahuja, Rattan Deep AnejaIn the domain of information technology, video tampering detection has become hyper critical principally with the increase in deep fake as everyone is having affordable access to the internet. The long established methods lack in detecting the manipulated content specifically for temporal disordered and variant frames. In order to overcome such issues, the suggested innovative method encompasses Dynamic Temporal Warping … …Journal of Computer Science, Vol. 22, Issue 3 · 7 Mar 2026 · 2,015 accessesView PDFCite
Review ArticleOpen accessIn the keywordsBig Data in Medical Applications and Health CareLidong Wang, Cheryl Ann AlexanderBig Data can unify all patient related data to get a 360-degree view of the patient to analyze and predict outcomes. It can improve clinical practices, new drug development and health care financing process. It offers a lot of benefits such as early disease detection, fraud detection and better healthcare quality and efficiency. This paper introduces the Big Data concept … …Current Research in Medicine, Vol. 6, Issue 1 · 15 May 2015 · 14,953 accessesView PDFCite