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Dinesh, H.A.
- Detection of Cyber Attack on Internet of Vehicle Commuters
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Authors
Affiliations
1 Institute of Computer Science and Information Science, Srinivas University, India., IN
2 Department of Mathematics and Computer Science, University of Africa, Nigeria., NG
1 Institute of Computer Science and Information Science, Srinivas University, India., IN
2 Department of Mathematics and Computer Science, University of Africa, Nigeria., NG
Source
ICTACT Journal on Communication Technology, Vol 14, No 1 (2023), Pagination: 2876-2881Abstract
The Internet of Vehicles (IoV) is a massive interactive network that can be extended into the realm of smart transportation by utilizing IoV at scale because it is capable of attaining unified management. It is well known that the gathered contents not only contain personal information, but also certain critical data, such as a vehicle running parameter, which is strongly related to traffic safety. This study explains how a network intrusion detection system (IDS) based on artificial intelligence can be deployed over various datasets. The simulation is carried out in an extensive way and the results show that the proposed method achieves a higher rate of accuracy in detecting the instances than the other existing methods.Keywords
Internet of Vehicles, Intrusion Detection System, Traffic System, Vehicle Commuters.References
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- Dynamic Bandwidth Allocation Scheme for Enhanced Performance in 5G Point-To-Point Networks
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Authors
Affiliations
1 Department of Electrical and Electronics Engineering, Dr. Ambedkar Institute of Technology, IN
2 Department of Computer Science and Engineering, Siddaganga Institute of Technology, IN
3 Department of Information Science and Engineering, Shridevi Institute of Engineering and Technology, IN
1 Department of Electrical and Electronics Engineering, Dr. Ambedkar Institute of Technology, IN
2 Department of Computer Science and Engineering, Siddaganga Institute of Technology, IN
3 Department of Information Science and Engineering, Shridevi Institute of Engineering and Technology, IN
Source
ICTACT Journal on Communication Technology, Vol 14, No 2 (2023), Pagination: 2945-2951Abstract
This paper proposes a novel dynamic bandwidth allocation scheme for enhancing performance in 5G point-to-point networks. The scheme aims to optimize bandwidth utilization by dynamically allocating resources based on traffic demands and quality of service (QoS) requirements. Through continuous traffic monitoring, QoS analysis, and adaptive allocation algorithms, the scheme ensures optimal resource allocation in real-time. Additionally, load balancing techniques and a feedback mechanism further improve performance by distributing traffic evenly and incorporating user feedback. The proposed scheme contributes to the efficient utilization of available bandwidth resources, optimized QoS provisioning, and adaptation to changing network conditions, thereby enhancing the overall performance of 5G point-to-point networks.Keywords
5G, Point-To-Point Networks, Dynamic Bandwidth Allocation, Performance Enhancement, Traffic Monitoring, Quality of Service, Resource Allocation Algorithm, Adaptive Allocation, Load Balancing, Feedback Mechanism.References
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