340 hasil
Menampilkan 1–20 · 0,41 detik · RSS
Iraqi Journal for Computers and Informatics
ISSN 2313-190X · University of Information Technology and Communications · 340 artikel di indeks
-
Artikel Jurnal
New Hybrid Model Combining NoSQL and SQL Database to Ameliorate the Performance of Big Data System
Due to their flexibility, NoSQL databases have gained popularity as a preferred data storage destination of modern web applications and can accommodate easy growth. But they are not without risk: Technical Articles can be susceptible to injection attacks that could result in a data breach or…
-
Artikel Jurnal
Performance Analysis of AI-Enhanced Cybersecurity Networks
The sophistication of cyberattacks is on the rise and it demands sophisticated and dynamic intrusion detection systems that will help to detect both the existing and the new threats. This paper is a performance appraisal of intrusion detection models based on artificial intelligence with two…
-
Artikel Jurnal
Ensuring data protection within multi-tenant databases built on cloud infrastructure
Cloud computing has swiftly become a prominent trend in the technology industry, owing to its various benefits such as scalability, high availability, and cost-effectiveness. Consequently, an increasing number of organizations are shifting their operations to cloud-based environments. It is…
-
Artikel Jurnal
Performance Evaluation of FSO-OCDMA Based on Security Perspective
With the high explosion in data traffic in today's networks, the importance of secure and high-capacity optical wireless communication has become more pressing than ever before. Free Space Optics (FSO) in combination with Optical Code Division Multiple Access (OCDMA) has great potential to meet…
-
Artikel Jurnal
Innovative strategies for IoT security using AI and blockchain: a comprehensive review
The Internet of Things (IoT) is an emerging technological revolution, where devices communicate with each other over the internet to receive communications and information. These devices generate massive amounts of information. As industries increasingly rely on IoT devices, the need for…
-
Artikel Jurnal
Adaptive Multi-Layer Security for UAV Video Streaming: A Chaotic Blockchain Key Scheduler with MDP-Driven Reinforcement Learning
Our adaptive multi-layer security lets UAVs communicate live video. This technique improves key scheduling over time by using MDP, chaotic maps, and blockchain technology. The bulk of essential management frameworks use legislation or centralized trust systems. In UAV networks, safe and fast video…
-
Artikel Jurnal
Metaheuristic-Based Hyperparameter Optimization for Machine Learning Classification: An Applied Experimental Study
The selection of hyperparameters is a key factor in the predictive performance and the overall generalization of machine learning models. In real-life scenarios, poor hyperparameter selection tends to result in suboptimal performance, despite the use of sophisticated learning algorithms…
-
Artikel Jurnal
NuSec-CipherWeave: A High-Performance 256×256 Matrix Cipher for Nuclear and Radiological Equipment Usage Archiving
Securing archiving of records of licensed nuclear and radioactive devices is essential for preventing incidents that might compromise radiation safety and for compliance with regulations, such as specific equipment properties, operational procedures, device user identification, and device usage…
-
Artikel Jurnal
Enhance Image Encryption by Hybridization Metaheuristic Methods and Chaotic Maps
The study evaluates the encryption based on advances for safeguarding personal and sensitive data include in or associated with various types of images, by applying chaotic maps to strengthen data security. A new hybrid method for encrypting digital images has been proposed depending on combining…
-
Artikel Jurnal
Context-Aware Adaptive Packet Scheduling for Real-Time Services in Computer Networks
Voice over IP (VoIP) and video streaming are real-time network applications in which delay, jitter and packet loss are hard requirements that a conventional packet scheduling system will not meet in dynamic traffic scenarios. The available scheduling strategies mostly use a static priority which is…
-
Artikel Jurnal
A Smart Data Mining Framework Based on Real-time Facial Expression Recognition: Enhancing Cognitive Engagement for Students at the College of Tourism Sciences in Iraq
In academic contexts where affective competence is central to professional formation, automatic, unobtrusive monitoring of student cognitive engagement in face-to-face classroom experiences continues to be an open question. Current Facial Expression Recognition (FER) systems have primarily been…
-
Artikel Jurnal
Leveraging Artificial Intelligence for Enhanced Free Space Optical Communications: A Comprehensive Review
The communication of Free Space Optical (FSO) has been approved to be a crucial high-bandwidth, technology possessing free license for 6G networks, UAV-to-ground, as well as satellite-to-ground backhaul. The well-known application related to turbulence of atmosphere, scintillation, as well as…
-
Artikel Jurnal
Robust Audio Deepfake Detection Across Controlled and Real-World Datasets Using CNN–Transformers
The difference between real and fake speech has been proving difficult due to the development of voice generating technologies. In this research, a hybrid model of convolutional neural networks and the use of Transformer-based sequence modeling to identify audio deepfakes is proposed. The…
-
Artikel Jurnal
Topology-Free Networking Using Implicit Coordination in Dense IoT Systems
The traditional networking topologies of Internet of Things (IoT) systems are based on explicit topology building, neighbor discovery, and routing state maintenance. Although they are effective in less dense and stable networks, these methods are inefficient in dense, dynamic, and unstructured IoT…
-
Artikel Jurnal
An Efficient Model for Academic Paper Title Generation using Summarization Approach
The title should concisely encapsulate the overall content; however, producing a strong academic title that reflects the core contribution remains challenging. This paper proposes and evaluates a pipeline-based model for academic paper title generation: abstracts collected from the NIPS dataset are…
-
Artikel Jurnal
A Comprehensive Review of Machine Learning and Deep Learning Approaches for Zero-Day Attack Detection in Cybersecurity Systems
Over the past decade, the rapid digital transformation of infrastructures to digital forms, such as cloud computing, Internet of Things (IoT), and large-scale interconnected network systems, has made the threat of cybercrime much more pronounced. Of those, Zero-Day attacks are regarded as the most…
-
Artikel Jurnal
Lightweight CNN-Based Framework for Industrial Surface Defect Classification
Industrial surface defect classification is an important part of automated quality inspection systems. For these systems to work, they need to be able to detect surface defects accurately and efficiently to improve product reliability and reduce manufacturing costs. Traditional manual inspection…
-
Artikel Jurnal
Explainable Federated Learning for Brain Tumor Classification Using Multi-Source MRI Data
Early diagnosis and clinical decision-making depend on accurate brain tumor classification using magnetic resonance imaging (MRI). However, traditional deep learning methods usually rely on centralized medical data, which raises privacy concerns and limits the use of distributed clinical data. This…
-
Artikel Jurnal
AI-Powered Smart Irrigation: A Case Study on Applying Genetic Algorithms and Particle Swarm Optimization for Water Conservation in Agricultural Projects
Agriculture worldwide, particularly in arid and semi-arid regions, is severely affected by water scarcity, which has become a major global challenge, this paper describes development of the proposed artificial intelligence-based system, Smart Drop that optimizes irrigation water to address this…
-
Artikel Jurnal
Design and Implementation of an Intelligent Transportation System based on SUMO Hybrid Communication Networks
The growing demand for transportation, driven by rapid urbanization and rising vehicle numbers, has led to severe traffic congestion in cities. Thus, there are numerous limitations to traditional fixed-time signal systems in effectively managing variable traffic conditions. The aim of this research…