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214 articles for “Traffic network”
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Voting Classification Method for Network Traffic Prediction
Abstract: Prediction analysis (PA) is a data mining-based technique. The futuristic outcomes based on present data can be predicted using this technique. As the dataset is large and complex, network traffic classification is a big concern in prediction analysis. Three phases are included in network traffic strategies. The data collection is obtained in the first step of pre-processing, and it is analysed to delete incomplete and obsolete values. The relationship between …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 1, 2021 · pp. 23–30 Read article
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Advancements in Intrusion Detection: Tackling Imbalanced Network Traffic with Machine Learning and Deep Learning Techniques
Abstract: Malicious cyberattacks can frequently hide enormous amounts of typical data in unbalanced network traffic. It is very stealthy and obfuscating in cyberspace, which makes it challenging for Network Intrusion Detection Systems (NIDS) to guarantee the precision and promptness of detection. This essay investigates. Machine learning and deep learning are utilized for intrusion detection in imbalanced network traffic. It offers a novel method for addressing the problem of class imbalance termed …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 18–24 Read article
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Network Traffic Analysis Using Machine Learning
Abstract: Network traffic analysis and prediction has applications in a variety of fields and has recently attracted a considerable number of studies. To find numerous issues with current computer network applications, various sorts of studies are carried out and reported. A proactive strategy to guarantee safe, dependable, and high-quality network communications is network traffic analysis and prediction. For network traffic analysis, several methods, including data mining and neural network-based methods, are …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 17–23 Read article
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Machine Learning Approaches for Intelligent Network Traffic Management in 6G
Abstract: The increasing adoption of smart devices, Internet of Things (IoT) technologies, cloud-based services, autonomous applications, and multimedia platforms has greatly enhanced the demands and complexity of modern wireless communication networks. To meet these evolving requirements, upcoming sixth-generation (6G) communication systems are anticipated to deliver extremely high data transmission speeds, support a vast number of connected devices, ensure minimal communication delays, enable intelligent network management, and provide seamless real-time connectivity for …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 2, 2026 · pp. 19–32 Read article
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Implementation and Analysis of Internet Protocol TV Content Distribution Network Traffic Modeling in NS2
Abstract: Traffic analysis and modeling is an important approach to study network applications. In the past decade, numerous types of Internet and multimedia application traffic have been extensively studied and the result of this research shows that such traffic has the feature of self-similarity. Contrasted and these customary applications, IPTV has an alternate construction modeling and client practices. Thus, the attributes of IPTV movement vary from those of conventional applications and, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 3, 2015 · pp. 6–12 Read article
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AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Cyberattack Detection System in Private Cloud
Abstract: As cloud computing adoption in colleges continues to rise, the security of private cloud systems has become a paramount concern. Data breaches resulting from cyberattacks can inflict severe damage to a university's revenue and reputation. This research proposes a novel machine learning-based cyber threat detection system tailored to the university's private cloud environment. The system's main objective is to continuously monitor the cloud infrastructure and employ advanced machine learning algorithms …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 2, 2023 · pp. 37–44 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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CONGESTION MANAGEMENT USING LMP BASED ZONAL PRICING IN COMPETITIVE POWER MARKET
Abstract: The development of deregulated power systems has redounded in overfilling transmission networks or network traffic. Traffic has serious goods on power systems, including severe system damage. Traffic occurs when transmission networks fail to transfer power grounded on the cargo demand. These problems are managed using traffic pricing styles, which play an important part in current deregulated power systems. Among the numerous number of approaches request grounded traffic pricing styles are …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 25–32 Read article
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Quality of Services (QoS) in Linux Operating System
Abstract: Quality of Service (QoS) is a fundamental characteristic of contemporary computer networks, enabling the prioritization of network traffic and the allocation of network resources according to specific criteria. The Linux operating system provides a powerful set of QoS tools, including Traffic Control, Differentiated Services, and Network Emulator. These utilities enable you to establish traffic categories, impose bandwidth constraints, and give precedence to traffic according to diverse criteria such as IP …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 2, 2023 · pp. 1–5 Read article
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Automatic Car Controller Based on Sign Board using Deep Learning and IOT
Abstract: The rapid growth of intelligent transportation systems has increased the demand for safer and more efficient driving solutions. Conventional vehicles often rely heavily on human intervention, which can lead to accidents due to negligence, fatigue, or poor visibility of traffic signs. This project proposes an automated car control system that utilizes deep learning and Internet of Things (IoT) technologies to recognize traffic signboards and respond accordingly. The primary objective is …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 16–24 Read article
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Comparative Performance Analysis of Inter-Domain Routing Protocols in Integrated HSDPA and WLAN Ad Hoc Networks with Streaming Traffic
Abstract: AbstractIntegration of HSDPA and WLAN Ad Hoc Networks is to increase coverage and capacity of UMTS Networks. Inter-Domain routing is new challenge for them due multiple hopes away end users. This paper presents a comparative performance analysis for Inter-domain routing in Integrated HSDPA and WLAN Ad Hoc Networks with asymmetric voice and video streaming traffic class on BellmanBGPv4, Bellman, RIPv2 and RIPv2BGPv4 routing protocols.Keywords: Integrated HSDPA and WLAN Ad Hoc …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 3, 2015 · pp. 7–18 Read article
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Application of Game Theory Principles for Opportunistic Routing in MANETS
Abstract: This article explores the application of game theory principles to enhance opportunistic routing in mobile ad hoc networks (MANETs). MANETs are characterized by their dynamic topology, limited resources, and lack of infrastructure, making traditional routing protocols less efficient. Opportunistic routing leverages the mobility of nodes and the broadcast nature of wireless communication to achieve reliable message delivery. However, existing opportunistic routing algorithms may suffer from challenges such as high message …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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Multimodal Generative AI for Vehicular Applications at Edge
Abstract: This paper explores how the rapid advancements in vehicular technology, including autonomous driving and intelligent transportation systems, have driven the need for real-time data processing and decision-making. Multimodal generative AI, when deployed at the edge, offers a powerful solution for vehicular applications by leveraging diverse data sources such as video, audio, sensor inputs, and environmental data. This paper explores the integration of multimodal generative AI with edge computing in vehicular …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 27–34 Read article
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Strategies to Avoid Illegal Data Access
Abstract: For companies of all sizes, data security is a top priority. The chance of unauthorized data access increases as technology develops. To prevent unwanted access to their data, businesses must be proactive. This study examines technology solutions, personnel training, and policy enforcement as methods to prevent unauthorized data access. Data may be protected from illegal access using technological solutions like firewalls, intrusion detection systems, and encryption. Intrusion detection systems notify …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 3, 2022 · pp. 29–40 Read article
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A Graph Theoretic Approach to quantify the Conflict of Traffic Streams in a Traffic Intersection
Abstract: A traffic intersection can be modelled by a graph by considering the streams as vertices and assigning an edge based on the mutually non-conflict streams. In this paper we propose a spectral approach to arrange the steams in order of their conflict and hence determine the most conflicted stream in a traffic intersection.
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 5, Issue 2, 2018 · pp. 22–25 Read article
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Enhancing Online Security: Machine Learning Methods for Phishing Detection—Literature Survey
Abstract: Phishing attacks represent a substantial online security threat as they mimic authentic websites to trick users into disclosing sensitive information. Detecting these malicious websites is crucial for safeguarding user data and maintaining digital trust. This summary provides insight into the application of machine learning methods in the identification of phishing websites. Machine learning, which falls under the umbrella of artificial intelligence, has proven to be a robust instrument for automating …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 29–34 Read article
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Wireless Sensor Network Based Road Traffic Monitoring in Hilly Terrains
Abstract: AbstractIn the hilly terrains tree falling is a natural phenomenon, also river/canals overflowing in rainy season always disturb the free movement of traffic. Eventually there will be narrow roads in the hilly terrains. Traffic block occurs due this reason can be easily occurred. These incidents block the roads for several hours. Authorities are always informed much later and precious hours are spent on the roads by public. To avoid this, …
Published in Journal Of Network security · Vol. 7, Issue 2, 2019 · pp. 22–25 Read article
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Comparative Performance Analysis of AODV, DSDV and ZRP under Various Network Density and Traffic in MANETs
Abstract: AbstractAs in this day and age, remote turns into a rising field for exploration; portable ad hoc network (MANETs) is a player in remote innovation. In MANETs, there are responsive (AODV), proactive (DSDV) and half breed (ZRP) steering conventions. This paper gives the execution examination of these diverse steering conventions under different system thickness and movement utilizing ns-2 test system. The investigation of this examination gives which steering convention is …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 9–16 Read article