UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1807366


Registration ID:
185028

Page Number

105-111

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Title

MALICIOUS NODE IDENTIFICATION FOR D2D COMMUNICATION IN 5G CELLULAR NETWORKS

Abstract

5G network system is the option for better coverage, capacity and spectral efficiency. Overall targets for the 5G network are to have higher throughput per area per user with lower latency. 5G can be the answer to ever growing number of users to their growing demands. The main focus is on implementation of D2D communication which reduces burden on cellular infrastructure and increases the spectral efficiency. Unlike the traditional one, traffic has to go to the base station first even if the users are within short range of each other. Another important factor is security. A network suffers from various types of attacks especially a network like 5G which works in unlicensed spectrum A technique is being proposed for detection of malicious node, a kind of trap method is used for the detection of malicious nodes. When the grey node is detected due to the trap, an alarm is triggered to make the other nodes aware of malicious nodes. So, the network performance has been checked under three condition i.e. when the network is in ideal state (WITHOUT GREY NODE), affected from the attack (WITH GREY NODE) and network after attack (REMOVED GREY NODE). The considered parameters are Throughput, Packet delivery Ratio, Delay, and Success rate. These parameters have shown the considerable improvements as compared to the network suffering from the grey hole attack.

Key Words

Grey Hole, 5G, Hybrid

Cite This Article

"MALICIOUS NODE IDENTIFICATION FOR D2D COMMUNICATION IN 5G CELLULAR NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.105-111, July-2018, Available :http://www.jetir.org/papers/JETIR1807366.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"MALICIOUS NODE IDENTIFICATION FOR D2D COMMUNICATION IN 5G CELLULAR NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp105-111, July-2018, Available at : http://www.jetir.org/papers/JETIR1807366.pdf

Publication Details

Published Paper ID: JETIR1807366
Registration ID: 185028
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 105-111
Country: Bathinda, Punjab, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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