Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

124 results for “Traffic Model”
Set a search alert
Research ArticleOpen accessIn the abstractAutoencoder-Based Intrusion Detection for ARP Poisoning in SDN ControllersKago Seemela, Banyatsang Mphago, Thabo Semong, Phephisa MethulaAddress Resolution Protocol (ARP) poisoning is still a critical control plane attack in Software Defined Networks (SDNs), and spoofing of ARP mappings can trick SDNs controller and accomplish man in the middle, eavesdropping and denial of service attacks. Current SDN intrusion detection systems of ARP attacks rely on supervised learning and labelled attack data which is rather expensive and not … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 875 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Grey Wolf Optimizer and Deep Transfer Learning-Based Intrusion Detection System for IoTKapil Shrivastava, Manish Tiwari, Prasun ChakrabartiThe rapid proliferation of Internet of Things (IoT) devices has driven significant advancements in connectivity and automation, but it has also introduced substantial cybersecurity risks, including intrusions and cyberattacks. To address these challenges, this study proposes a hybrid intrusion detection framework that combines advanced optimization techniques with ensemble deep learning to enhance detection accuracy and computational efficiency. The proposed framework … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,512 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 · 1,722 accessesView PDFCite
Research ArticleOpen accessIn the abstractComprehensive Assessment of Spatial Distribution of Road-Network Vulnerability in South AsiaPan Yuqi, Jiang Penghui, Li Manchun, Chen DengshuaiUnexpected phenomena-natural disasters, accidents and wars-can disrupt regional traffic systems because of the incapacities of road networks to sustain inflicted impacts. Therefore, the assessment of road-network vulnerability becomes integral to traffic-safety-maintenance and accident-prevention procedures. This study demonstrates the development of a comprehensive network system based on suggested improvements in node extraction, road construction and network attribution. An indicator system for … …American Journal of Environmental Sciences, Vol. 17, Issue 6 · 24 Dec 2021 · 6,452 accessesView PDFCite
Research ArticleOpen accessIn the abstractSM-SCAM YOLO: Enhancing Object Detection with Multi-Scale Module and Spatial Channel Attention MechanismShanmuga Sundari Mariyappan, Kayalvizhi Mohan, K. B. K. S. DurgaDetecting tiny objects remains a significant hurdle in computer vision, primarily due to scale variation, occlusion, and the loss of detail in low-resolution features. Although YOLO-based detectors are popular for their speed and efficiency in real-time tasks, they often struggle with accurately identifying small objects because of information loss during downsampling. This study introduces an improved YOLO-based model that integrates … …Journal of Computer Science, Vol. 21, Issue 6 · 12 Jun 2025 · 3,930 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction of Data Traffic in Telecom Networks based on Deep Neural NetworksQuang Hung Do, Thi Thanh Hang Doan, Thi Van Anh Nguyen et al.Accurate prediction of data traffic in telecom network is a challenging task for a better network management. It advances dynamic resource allocation and power management. This study employs deep neural networks including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) techniques to one-hour-ahead forecast the volume of expected traffic and compares this approach to other methods including Adaptive Neuro-Fuzzy … …Journal of Computer Science, Vol. 16, Issue 9 · 30 Sep 2020 · 8,071 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI Drive Assist: Enhancing Road Safety through Advanced Road Sign Detection and Driver AlertsLazeen Manasia, Mufaddal Bharmal, Harshita Singhvi et al.Road accidents claim approximately 1.35 million lives annually, as highlighted by the World Health Organization, making them a leading cause of death worldwide. With this sobering statistic in mind, addressing road safety concerns through advanced AI technologies becomes increasingly imperative. This research paper highlights practical implications for both road safety enhancement and the advancement of artificial intelligence technology within the … …Journal of Computer Science, Vol. 20, Issue 8 · 1 Jun 2024 · 7,973 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplying Dempster Shafer Theory and Causal Inference in Investigating Internet of Things Digital Forensic ChallengeMohamed El-Dosuky, Sherif K. Ratib et al.The rapid growth of IoT ecosystems has transformed digital forensics, creating challenges in analyzing distributed, heterogeneous, and uncertain evidence. Conventional forensic methods often struggle to handle ambiguous and conflicting IoT data, highlighting the need for robust frameworks that effectively manage uncertainty across multiple evidence sources. This research presents a hybrid forensic framework that integrates Dempster Shafer Theory (DST) for probabilistic … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 901 accessesView PDFCite
Research ArticleOpen accessIn the abstractCertain Contributions in Traffic Engineering Based on Software-Defined Networking TechnologyAs'ad Mahmoud As'ad AlnaserThe paper addresses the traffic engineering in Software-Defined Networks (SDN). A brief analysis of the features of the SDN organization, which allows to increase the Traffic Engineering (TE) efficiency, is given. The viability of using multipath routing with TE is substantiated. Taking into account the features of the SDN technology, a modified TE method, which allows to reduce the time … …Journal of Computer Science, Vol. 15, Issue 7 · 9 Jul 2019 · 7,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputer Vision for Vulnerable Road Users using Machine LearningDevi Chilukuri, Sun Yi, Younho SeongTransportation has become a very important component for all ages in today’s life. However, seniors often find difficulty in travelling by public transport or even by their own vehicles. Thus, they are considered as Vulnerable Road Users (VRUs). This research mainly concentrates on creating an application that helps the elderly mobile users in virtually screening of directions using GPS, tracking … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 11 Mar 2019 · 7,083 accessesView PDFCite