Search
214 articles for “Traffic network”
-
A Novel Approach of Traffic Management in Software Defined Networking Using Internal Controller
Abstract: The complex structure of the current computer networks causes problems in network scalability and management and makes it hard and time-consuming to implement general policies. A new architecture called Software Defined Network (SDN) has been developed to address these problems and challenges. One of the most important issues in SDNs is traffic engineering, which is a good criterion for network performance evaluation. After introducing SDNs and examining traffic engineering and …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 1, 2020 · pp. 22–31 Read article
-
Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
-
Comparative Performance Analysis of Inter-Domain Routing in Integrated UMTS and WLAN Ad Hoc Networks with CBR Conversational Traffic Class on Various Routing Protocols
Abstract: Integration of Universal Mobile Telecommunication System (UMTS) and Wireless Local Area Network (WLAN) Ad Hoc Networks is to increase services for mobile host and improve coverage of UMTS Networks. Inter-Domain routing is new challenge for Integrated UMTS and WLAN Ad Hoc Networks due to multiple base stations and gateways. This paper presents a comparative performance analysis for Inter-domain routing in Integrated UMTS and WLAN Ad Hoc Networks with symmetric Constant-Bit-Rate …
Published in Current Trends in Information Technology · Vol. 5, Issue 3, 2015 · pp. 21–34 Read article
-
Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security · Vol. 11, Issue 4, 2023 Read article
-
Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 46–53 Read article
-
Random Forrest Based Man-in-the-Middle Attack Detection in Advanced Metering Infrastructure
Abstract: Advanced metering infrastructure (AMI) plays a central role in the operation of modern smart grid (SG) systems by enabling continuous, two-way communication between utility providers and consumers. Through this communication, AMI supports real-time monitoring, dynamic pricing, and efficient energy management. However, the same connectivity that makes AMI effective also increases its exposure to cyber threats. One of the most critical threats is the man-in-the-middle (MITM) attack, in which an attacker …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 1–8 Read article
-
Real-time Design and Implementation of a Network for the analysis of Multimedia Traffic using CISCO Optical Routers
Abstract: The work is all about the network components, its layers and protocols, their functions and understanding of the IP addressing scheme. The device, which acts as a mediator for the passage of the packets in a network, is the routers. Here the main aim is to join a large network for the organization communication with the help of these network components by configuring in such way that connectivity is achieved …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 2, 2016 · pp. 22–30 Read article
-
Geospatial based Travel Time and Delay Analysis for Urban Road Network
Abstract: Traffic congestion is widely viewed as a growing problem in many urban areas because the overall volume of vehicular traffic in many areas continues to grow faster than the overall capacity of the transportation system. It has become one of the plagues of modern life particularly in developing countries like India where many cities operate under severely congested traffic conditions on a daily basis. Geographical Information Systems and Global Positioning …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 51–60 Read article
-
Use of Intelligent Control Systems to Manage Traffic Effectively and Productively
Abstract: Intelligent control system is the advanced technology in which the collected data is provided to A.I. and with the help ofvarious methods like machine learning, neural networks, Bayesian probability, fuzzy logic the solution to a particularproblem is found.In a country’s growth the traffic management plays a great role as the maximum industries depends on the highways orroads and when it is well planned it can reduce the commute time and …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 22–27 Read article
-
Traffic Sign Detection and Recognition Using Deep learning based- Convolutional Neural Network Algorithm
Abstract: The concept of Deep Convolutional Neural Organizations (CNNs) is a quickly arising new zone for Automatic traffic sign detection and recognition among the few master frameworks, such as independent driving and driver assistance. Here, in this paper, for traffic sign detection, we have utilized another methodology that uses a newly developed identification calculation and an RGB-based tone thresholding procedure. Results of the proposed identification and acknowledgement approaches are assessed on …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 1, 2021 · pp. 24–29 Read article
-
Adaptive Traffic Control Systems: Enhancing Urban Mobility through Real-Time Traffic Management
Abstract: Traffic congestion is a ubiquitous challenge in urban areas, necessitating innovative solutions to improve transportation efficiency and alleviate gridlock. Traditional traffic signal control methods often prove inadequate in dynamically adapting to fluctuating traffic conditions, leading to increased travel times, fuel consumption, and emissions. In response, adaptive traffic control systems have emerged as a promising approach to mitigate congestion and enhance traffic flow in urban environments. These devices dynamically modify signal …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 37–45 Read article
-
Traffic Aware Coloring based Scheduling Scheme for Mobile Wireless Body Area Networks
Abstract: AbstractEvolution in the wireless technology and supportive infrastructure offer innovative opportunities for healthcare and fitness monitoring applications without restricting activities of the user. The wireless body area networks (WBAN) have ability to bring revolution in the healthcare field. In spite of this ability WBAN have some technical challenges that need to be researched. The biggest challenge in WBAN is to provide quality of service. Many scheduling techniques have been proposed …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 3, 2017 · pp. 8–11 Read article
-
Attack Detection and Analysis in Virtual Wireless Networks using Mininet-WiFi, CIC Flowmeter, Wireshark, and Machine Learning
Abstract: Mininet-WiFi is a powerful tool for creating virtual wireless network environments to test various networking scenarios. However, attacks like Distributed Denial of Service (DDOS) attacks can still affect these simulated networks. A CIC flowmeter can be used to monitor network traffic and Wireshark can be used to record and analyse network data in real-time to detect and analyse such assaults. However, the data obtained from these tools may be noisy, …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 34–45 Read article
-
Comparative Study of Reinforcement Learning Algorithms on Traffic Light Control System
Abstract: With the changing times, the need of upgraded and efficient state-of-the-art traffic light control system is truly required. How well do various state-of-the-art algorithms handle complex real-life situations, more technically speaking, how well the reward function operates and minimizes the waiting time, is the prime question of the hour. Here we have successfully employed three reinforcement learning agents-REINFORCE, D3QN and DDPG each of which can independently handle large volumes of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 33–45 Read article
-
Caching Proposal Based on Least Recently Used Algorithm and AVL Tree
Abstract: In proxy caching, the cache server gets the request for an object from a consumer. A cache is most likely saved in memory or on disk. A memory cache is in the main greater hastily to study from than a disk cache. The Least Recently Used (LRU) cache replacement calculation is a straightforward and by and large utilized plan. Proxy caching is a unique procedure to lower network traffic and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 37–47 Read article
-
Security of Software Defined Network
Abstract: Software Defined Networking (SDN) might be a particular methodology that allows the system to be brilliantly and midway controlled, or 'modified,' utilizing programming applications. Software Defined networks technology can help to run on-demand applications for satisfying today’s business needs that is the reason for its extensive use in mostly data center .Software defined network, i.e. SDN provides clear view of whole network architecture to the network administrator. It isolates the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 1–5 Read article
-
AI-Driven Cyber Threat Detection and Response Framework for Higher Educational Institutions (HEIs)
Abstract: Higher educational institutions (HEIs) are increasingly exposed to complex cyber threats due to their open-access digital ecosystems, diverse user populations, and extensive research infrastructures. Conventional signature-based intrusion detection systems often fail to detect zero-day and evolving attacks, creating an urgent need for intelligent and adaptive security mechanisms. This research introduces an AI-based framework for detecting and responding to cyber threats, specifically designed for HEIs. The framework employs an unsupervised machine …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 28–34 Read article
-
Importance of Firewalls in the Security of Network
Abstract: Cyber security is crucial in the realm of information technology. In the current context, data security has grown to be a major concern. When it comes to cybersecurity, the word which springs to mind is “cybercrime”, which occurs in large numbers on a regular basis. To tackle cybercrime, several governments and organizations are employing a range of tactics. Many individuals are still concerned about cybersecurity, despite several measures. This research …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 19–23 Read article
-
Threats and Attacks on WirelessHART Network in Industrial Control Systems
Abstract: The communication between two devices can be secure and maintain the integrity of the data in which the network protocol plays an important role in the same. Due to the different requirement in the industrial needs make difficult to maintain one standard which lead to the attacks like packet injection and denial-of-service. This paper describes the WirelessHART Protocol (Wireless Highway Addressable Remote Transducer Protocol) based vulnerabilities in order to perform …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 1, 2021 · pp. 33–41 Read article
-
Anomaly Based Intrusion Detection Using Machine Learning Techniques
Abstract: Detection of Cyberattacks/anomalies in a network to build an efficient Intrusion Detection System (IDS) is very important. A system called an intrusion detection system (IDS) monitors network traffic in order to find suspicious activity and sends out signals when it is noticed. Monitoring and data analysis are designed with the objective of finding any network or system intrusions. Machine learning methods can anticipate both known and unidentified attacks. This project …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 1–8 Read article