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214 articles for “Traffic network”
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Botnet Beacon: Unveiling Covert Networks with Advanced AI Detection Strategies
Abstract: Securing information technology systems is paramount in today's interconnected world, where the reliability and security of networks and applications are of utmost importance. In this context, the development of a Botnet Detection System (BDS) that harnesses the power of AI classification algorithms becomes a critical endeavor. The primary objective of this work is to construct a comprehensive framework for a BDS that can efficiently gather network data and subject it …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 26–32 Read article
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Performance of Network Node in Presence of Sinkhole Attack in MANET
Abstract: AbstractMobile ad hoc networks (MANET) are wireless mobile nodes that communicate without any predefined infrastructure. MANET routing protocol acting an important role to get these types of communication. The two routing protocols which are DSR and AODV have been studied in specified form. Most of the attacks on MANETs are routing protocol attacks. The sinkhole attack is a type of routing protocol attack which is further affecting the network by …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 6–13 Read article
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A Review on Algorithms of Cluster Head in Mobile Ad Hoc Networks
Abstract: AbstractMobile ad hoc networks consists of mobile nodes that communicates with each different with none mounted topology. Cluster head choice, energy consumption and security may be a great challenge for MANET recently. Optimizing cluster head choice minimizes the energy consumption during a specific network and in addition reduces the information transmission overheads. There are several algorithms for cluster head choice that are supported many parameters. For higher utilization of energy, …
Published in Current Trends in Signal Processing · Vol. 8, Issue 3, 2018 · pp. 1–6 Read article
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Multi-Layered AI-Driven Paradigm Shift in IoT Ecosystem Security
Abstract: As the Internet of Things (IoT) continues to weave itself into the fabric of modern life – from smart homes and industrial automation to healthcare and urban infrastructure – the associated security vulnerabilities have become increasingly apparent. Traditional security mechanisms, often built on static rules and perimeter-based defenses, struggle to keep pace with the scale, heterogeneity, and dynamic nature of IoT ecosystems. In response, artificial intelligence (AI) has emerged as …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 13–21 Read article
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Boundry Based Detection and Prevantion of Sink Hole Attacks in MANET
Abstract: Wireless Sensor network is comprised of huge amount of small cost minimal power sensor nodes. The flexibility of wireless sensor networks makes them very attractive to attackers. Wireless sensor networks face resource constraints containing limits on the memory capacity, communication, power and computational power. Also, since they are frequently organized in unfriendly atmospheres and left unattended, they are vulnerable to numerous attacks. One of the major well known and severe …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 3, 2015 · pp. 26–35 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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Exploring the Role of Advanced Shell Scripts for Malware Threat Detection
Abstract: This study investigates the application of advanced shell scripts in detecting malware threats within computer systems. As cyber-attacks become more sophisticated, traditional detection methods frequently prove inadequate, highlighting the need for innovative approaches. The research highlights the effectiveness of shell scripting in automating the monitoring and analysis of system behavior, file integrity, and network traffic. By leveraging patterns and signatures of known malware, the scripts can identify anomalies indicative of …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 6–16 Read article
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Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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Enhancing LAN Security Using Machine Learning
Abstract: The modern Local Area Network (LAN) is a critical component of any organization's infrastructure, facilitating communication, resource sharing, and access to the wider internet. However, this connectivity also brings inherent security risks. Traditional security measures, relying on signature-based detection and rule-based systems, are increasingly struggling to keep pace with the evolving sophistication of cyberattacks. This is where Machine Learning (ML) offers a powerful alternative, enabling proactive threat detection and enhanced …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 07–16 Read article
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Security Agents for Information Retrieval in an IOT World
Abstract: As we see that very large no of applications are spread for the distribution of information with networks. With the help of network there are number of problems arises which are already well known by the users of those information systems. Information can be distributed with networks include data consistency, security and network management-problems which are all removed by the new features of network traffic and growth of workloads. Information …
Published in Journal Of Network security · Vol. 9, Issue 3, 2021 · pp. 23–32 Read article
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QoS Analysis of the Integrated UMTS and WLAN Network in Different Mobility Models with Prediction Algorithms Assisted Vertical Handoff using Conversational Traffic
Abstract: The selection of suitable handoff prediction algorithms in next generation heterogeneous networks is based on seamless mobility. The effect of different mobility models on quality of service (QoS) of the integrated universal mobile telecommunications system (UMTS) and wireless local area network (WLAN) can be observed by handoff prediction algorithms. The aim of this work is to analyze QoS of the integrated UMTS and WLAN network in the file-based mobility model …
Published in Journal of Web Engineering & Technology · Vol. 3, Issue 1, 2016 · pp. 7–19 Read article
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The Comparison in Time Series Forecasting of Air Traffic Data by Autoregressive Integrated Moving Average Model, Radial Basis Function and Elman Recurrent Neural Networks
Abstract: Nowadays, nonlinear time series and artificial neural networks (ANN) models are used for forecasting in the field of business, agriculture and soon. Recent studies have shown, ANN have been successfully used for forecasting of financial and agriculture data series The classical methods used for time series prediction like Box-Jenkins or ARIMA assumes that there is a linear relationship between inputs and outputs. ANN have more advantages that can approximate to …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 75–90 Read article
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Robust Classification of Traffic Signs Using Relief Feature Reduction Technique
Abstract: Ensuring driver safety amidst the rapid growth of global population and vehicular density continues to be a paramount challenge for transportation authorities and governments worldwide. With the rise of smart mobility solutions and autonomous driving technologies, the ability to detect, classify, and respond to traffic signs accurately has become critically important, especially under diverse and adverse environmental conditions such as rain, fog, or poor lighting. Reliable traffic sign recognition not …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 30–37 Read article
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Revolutionizing Urban Traffic Management: An AI and Multi-Agent System Approach Leveraging IoT Technology
Abstract: Our study addresses the challenging issue of traffic congestion in modern urban areas and the limitations of traditional solutions like road expansion and network indicators. To effectively tackle traffic congestion, the study explores various strategies that analyze traffic elements, falling into the Macroscopic and Microscopic Models. However, conventional traffic modeling faces significant challenges in dealing with complex traffic systems.Artificial Intelligence (AI) techniques, including fuzzy logic, evolutionary algorithms, neural networks, and …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 1–8 Read article
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Performance Analysis of Mobile WiMAX Networks on Various Routing Protocols Using Strict Priority and Weighted Round Robin Scheduling Algorithm on CBR Traffic
Abstract: MobileWiMAX (Worldwide Interoperability Microwave Access) is a wireless system based on the IEEE 802.16e standard and it has emerged as the strongest contender for broadband wireless technology with promises to offer guaranteed Quality of Service (QoS). It offers support high mobility in WiMAX Networks. This paper presents a comparative performance analysis of Mobile WiMAX Networks AODV, DSR and OLSR routing protocols using Strict Priority and Weighted Round Robin Scheduling Algorithm …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 1, Issue 3, 2014 · pp. 13–26 Read article
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A Study on Shortest Route Planning in Road Transportation Networks Using Remote Sensing Technology
Abstract: In the present scenario, information technology plays a major role in the world economics. If we get the timely information about the resources of the city then we could plan and manage its resources in a better way, for the economically and environmentally sustainable urban development. Land cover and the human or natural alteration of land cover play a major role in global scale patterns of climate. Rapid urbanization and …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 1, 2017 · pp. 23–28 Read article
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ATM Network: A High-speed Communication Network
Abstract: Next-generation computers and communications will use asynchronous transfer mode (ATM). ATM networks employ compact, predetermined cells for message transmission, enabling them to efficiently utilize the same network for transmitting voice, video, and data across extensive distances. Most computer and telecommunications companies focus on ATM products and services. The building can also manage different and regular costs. Therefore, it is suitable for many vehicle types and has end-to-end encryption. ATM uses …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 34–39 Read article
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ML Associated DoS and DDoS Attack Observation in Protection
Abstract: DoS and DDoS assaults are significant risks to the availability and integrity of online services and networks. Attack traffic might come from a variety of geographical regions, making it difficult to filter and neutralize the attack. DDoS attacks are far more sophisticated and powerful than DoS attacks. They use a network of compromised devices, known as a botnet, to launch a coordinated attack on a target. Monitoring and evaluating the …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 18–26 Read article
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Spider Monkey Optimization Implementation on MANET
Abstract: Spider Monkey Optimization is a new swarm intelligence is a based on Spider Monkeys. It is population based but more of arbitrary meta-heuristic. It is well balanced permanently probation and ontogenesis most of the time. Routing is a method through which knowledge is distributed from sending node to receiving node. Mapping offers the link between two or more extra human activity nodes in network. During this job we lean to …
Published in Current Trends in Information Technology · Vol. 11, Issue 3, 2021 · pp. 1–7 Read article