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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
AN EFFICIENT DEEP LEARNING TECHNIQUE FOR DETECTING OF SPAM IN IOT NETWORK
Authors
Sarfaraj Alam, Ms. Sonal Chaudhary
Keywords
Spam. IOT, Python, Deep Learning, Detection, Virus.
Abstract
The massive number of sensors deployed in the Internet of Things (IoT) produce gigantic amounts of data for facilitating a wide range of applications. Deep Learning (DL) would undoubtedly play a role in generating valuable inferences from this massive volume of data and hence will assist in creating smarter IoT. Spamming is the use of messaging or electronic messaging system that send huge amount of data. Spam often fills the internet with multiple copies of a message and are sent to different recipients repeatedly without their request and urges to open them. Spam is type of virus, it is sent for commercial purposes. It can be sent in massive volume by botnets, networks of infected computers. This paper proposed efficient deep learning technique of spam detection for IOT devices application. The simulation is performed using the Python Spyder Software.
IJCRT's Publication Details
Unique Identification Number - IJCRT2208297
Paper ID - 224483
Page Number(s) - c373-c376
Pubished in - Volume 10 | Issue 8 | August 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Sarfaraj Alam, Ms. Sonal Chaudhary, "AN EFFICIENT DEEP LEARNING TECHNIQUE FOR DETECTING OF SPAM IN IOT NETWORK", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 8, pp.c373-c376, August 2022, Available at :http://www.ijcrt.org/papers/IJCRT2208297.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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